#984 by GitHub stars
jwangkun/claude-for-financial-services-cn
63 个 Claude Skills，为 A 股金融从业者而生 基于 Anthropic 官方 claude-for-financial-services 深度适配国内市场，现已开源。
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
View weekly changes
agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-clean-data-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-comps/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-comps-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-dcf/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-dcf-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-deal-screening/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-deck-refresh/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-earnings-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-earnings-preview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-ib-check-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-idea-generation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-initiating-coverage/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-lbo-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-market-data/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-model-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-morning-note/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-ppt-template-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-pptx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-sector-overview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-skill-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-tax-loss-harvesting/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-thesis-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-earnings-reviewer/skills/china-xlsx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-3-statement-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-audit-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-catalyst-calendar/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-clean-data-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-comps/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-comps-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-dcf/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-dcf-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-deal-screening/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-deck-refresh/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-earnings-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-earnings-preview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-ib-check-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-idea-generation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-initiating-coverage/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-lbo-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-market-data/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-model-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-morning-note/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-ppt-template-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-pptx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-sector-overview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-skill-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-tax-loss-harvesting/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-thesis-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-market-researcher/skills/china-xlsx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-3-statement-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-audit-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-catalyst-calendar/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-clean-data-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-comps/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-comps-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-dcf/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-dcf-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-deal-screening/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-deck-refresh/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-earnings-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-earnings-preview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-ib-check-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-idea-generation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-initiating-coverage/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-lbo-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-market-data/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-model-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-morning-note/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-ppt-template-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-pptx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-sector-overview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-skill-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-tax-loss-harvesting/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-thesis-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-model-builder/skills/china-xlsx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-3-statement-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-audit-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-catalyst-calendar/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-clean-data-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-comps/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-comps-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-dcf/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-dcf-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-deal-screening/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-deck-refresh/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-earnings-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-earnings-preview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-ib-check-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-idea-generation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-initiating-coverage/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-lbo-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-market-data/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-model-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-morning-note/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-ppt-template-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-pptx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-sector-overview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-skill-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-tax-loss-harvesting/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-thesis-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
agent-plugins/china-pitch-agent/skills/china-xlsx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
mcp-servers/wind-mcp/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-3-statement-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-audit-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-catalyst-calendar/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-clean-data-xls/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-comps/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-comps-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-dcf/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-dcf-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-deal-screening/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-deck-refresh/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-earnings-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-earnings-preview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-ib-check-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-idea-generation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-initiating-coverage/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-lbo-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-market-data/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-model-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-morning-note/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-ppt-template-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-pptx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-sector-overview/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-skill-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-tax-loss-harvesting/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-thesis-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/china-finance/skills/china-xlsx-author/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-accrual-schedule/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-break-trace/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-gl-recon/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-nav-tieout/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-roll-forward/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/fund-admin/skills/china-variance-commentary/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-buyer-list/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-cim-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-competitive-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-datapack-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-deal-tracker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-merger-model/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-pitch-deck/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-process-letter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-strip-profile/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/investment-banking/skills/china-teaser/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/operations/skills/china-kyc-doc-parse/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/operations/skills/china-kyc-rules/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-ai-readiness/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-dd-checklist/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-dd-meeting-prep/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-deal-sourcing/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-ic-memo/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-portfolio-monitoring/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-returns-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-unit-economics/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/private-equity/skills/china-value-creation-plan/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/wealth-management/skills/china-client-report/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/wealth-management/skills/china-client-review/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/wealth-management/skills/china-financial-plan/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/wealth-management/skills/china-investment-proposal/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
vertical-plugins/wealth-management/skills/china-portfolio-rebalance/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
d7585ca0033d → d7585ca0033d
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → d7585ca0033d
No earlier version was observed for comparison.
Verified commit d7585ca0033d0624e14e8c5a031b373c1216dd74
git clone --filter=blob:none --no-checkout https://github.com/jwangkun/claude-for-financial-services-cn.git .hotskills/jwangkun-claude-for-financial-services-cn && git -C .hotskills/jwangkun-claude-for-financial-services-cn checkout --detach d7585ca0033d0624e14e8c5a031b373c1216dd74
# Copy each selected skill directory from .hotskills/jwangkun-claude-for-financial-services-cn into .claude/skills/<skill-name>/Heat
2.8- Star growth, last 7 daysAhead of 71% of tracked repositories
- Star growth, last 24 hoursAhead of 5% of tracked repositories
- Rank movement, last 7 daysAhead of 3% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- china-3-statement-model
agent-plugins/china-earnings-reviewer/skills/china-3-statement-model - china-accrual-schedule
agent-plugins/china-earnings-reviewer/skills/china-accrual-schedule - china-audit-xls
agent-plugins/china-earnings-reviewer/skills/china-audit-xls - china-break-trace
agent-plugins/china-earnings-reviewer/skills/china-break-trace - china-catalyst-calendar
agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar - china-clean-data-xls
agent-plugins/china-earnings-reviewer/skills/china-clean-data-xls - china-comps
agent-plugins/china-earnings-reviewer/skills/china-comps - china-comps-analysis
agent-plugins/china-earnings-reviewer/skills/china-comps-analysis - china-dcf
agent-plugins/china-earnings-reviewer/skills/china-dcf - china-dcf-model
agent-plugins/china-earnings-reviewer/skills/china-dcf-model - china-deal-screening
agent-plugins/china-earnings-reviewer/skills/china-deal-screening - china-deck-refresh
agent-plugins/china-earnings-reviewer/skills/china-deck-refresh - china-earnings-analysis
agent-plugins/china-earnings-reviewer/skills/china-earnings-analysis - china-earnings-preview
agent-plugins/china-earnings-reviewer/skills/china-earnings-preview - china-gl-recon
agent-plugins/china-earnings-reviewer/skills/china-gl-recon - china-ib-check-deck
agent-plugins/china-earnings-reviewer/skills/china-ib-check-deck - china-idea-generation
agent-plugins/china-earnings-reviewer/skills/china-idea-generation - china-initiating-coverage
agent-plugins/china-earnings-reviewer/skills/china-initiating-coverage - china-lbo-model
agent-plugins/china-earnings-reviewer/skills/china-lbo-model - china-market-data
agent-plugins/china-earnings-reviewer/skills/china-market-data - china-model-update
agent-plugins/china-earnings-reviewer/skills/china-model-update - china-morning-note
agent-plugins/china-earnings-reviewer/skills/china-morning-note - china-ppt-template-creator
agent-plugins/china-earnings-reviewer/skills/china-ppt-template-creator - china-pptx-author
agent-plugins/china-earnings-reviewer/skills/china-pptx-author - china-roll-forward
agent-plugins/china-earnings-reviewer/skills/china-roll-forward - china-sector-overview
agent-plugins/china-earnings-reviewer/skills/china-sector-overview - china-skill-creator
agent-plugins/china-earnings-reviewer/skills/china-skill-creator - china-tax-loss-harvesting
agent-plugins/china-earnings-reviewer/skills/china-tax-loss-harvesting - china-thesis-tracker
agent-plugins/china-earnings-reviewer/skills/china-thesis-tracker - china-variance-commentary
agent-plugins/china-earnings-reviewer/skills/china-variance-commentary - china-xlsx-author
agent-plugins/china-earnings-reviewer/skills/china-xlsx-author - china-3-statement-model
agent-plugins/china-market-researcher/skills/china-3-statement-model - china-accrual-schedule
agent-plugins/china-market-researcher/skills/china-accrual-schedule - china-audit-xls
agent-plugins/china-market-researcher/skills/china-audit-xls - china-break-trace
agent-plugins/china-market-researcher/skills/china-break-trace - china-catalyst-calendar
agent-plugins/china-market-researcher/skills/china-catalyst-calendar - china-clean-data-xls
agent-plugins/china-market-researcher/skills/china-clean-data-xls - china-comps
agent-plugins/china-market-researcher/skills/china-comps - china-comps-analysis
agent-plugins/china-market-researcher/skills/china-comps-analysis - china-dcf
agent-plugins/china-market-researcher/skills/china-dcf - china-dcf-model
agent-plugins/china-market-researcher/skills/china-dcf-model - china-deal-screening
agent-plugins/china-market-researcher/skills/china-deal-screening - china-deck-refresh
agent-plugins/china-market-researcher/skills/china-deck-refresh - china-earnings-analysis
agent-plugins/china-market-researcher/skills/china-earnings-analysis - china-earnings-preview
agent-plugins/china-market-researcher/skills/china-earnings-preview - china-gl-recon
agent-plugins/china-market-researcher/skills/china-gl-recon - china-ib-check-deck
agent-plugins/china-market-researcher/skills/china-ib-check-deck - china-idea-generation
agent-plugins/china-market-researcher/skills/china-idea-generation - china-initiating-coverage
agent-plugins/china-market-researcher/skills/china-initiating-coverage - china-lbo-model
agent-plugins/china-market-researcher/skills/china-lbo-model - china-market-data
agent-plugins/china-market-researcher/skills/china-market-data - china-model-update
agent-plugins/china-market-researcher/skills/china-model-update - china-morning-note
agent-plugins/china-market-researcher/skills/china-morning-note - china-ppt-template-creator
agent-plugins/china-market-researcher/skills/china-ppt-template-creator - china-pptx-author
agent-plugins/china-market-researcher/skills/china-pptx-author - china-roll-forward
agent-plugins/china-market-researcher/skills/china-roll-forward - china-sector-overview
agent-plugins/china-market-researcher/skills/china-sector-overview - china-skill-creator
agent-plugins/china-market-researcher/skills/china-skill-creator - china-tax-loss-harvesting
agent-plugins/china-market-researcher/skills/china-tax-loss-harvesting - china-thesis-tracker
agent-plugins/china-market-researcher/skills/china-thesis-tracker - china-variance-commentary
agent-plugins/china-market-researcher/skills/china-variance-commentary - china-xlsx-author
agent-plugins/china-market-researcher/skills/china-xlsx-author - china-3-statement-model
agent-plugins/china-model-builder/skills/china-3-statement-model - china-accrual-schedule
agent-plugins/china-model-builder/skills/china-accrual-schedule - china-audit-xls
agent-plugins/china-model-builder/skills/china-audit-xls - china-break-trace
agent-plugins/china-model-builder/skills/china-break-trace - china-catalyst-calendar
agent-plugins/china-model-builder/skills/china-catalyst-calendar - china-clean-data-xls
agent-plugins/china-model-builder/skills/china-clean-data-xls - china-comps
agent-plugins/china-model-builder/skills/china-comps - china-comps-analysis
agent-plugins/china-model-builder/skills/china-comps-analysis - china-dcf
agent-plugins/china-model-builder/skills/china-dcf - china-dcf-model
agent-plugins/china-model-builder/skills/china-dcf-model - china-deal-screening
agent-plugins/china-model-builder/skills/china-deal-screening - china-deck-refresh
agent-plugins/china-model-builder/skills/china-deck-refresh - china-earnings-analysis
agent-plugins/china-model-builder/skills/china-earnings-analysis - china-earnings-preview
agent-plugins/china-model-builder/skills/china-earnings-preview - china-gl-recon
agent-plugins/china-model-builder/skills/china-gl-recon - china-ib-check-deck
agent-plugins/china-model-builder/skills/china-ib-check-deck - china-idea-generation
agent-plugins/china-model-builder/skills/china-idea-generation - china-initiating-coverage
agent-plugins/china-model-builder/skills/china-initiating-coverage - china-lbo-model
agent-plugins/china-model-builder/skills/china-lbo-model - china-market-data
agent-plugins/china-model-builder/skills/china-market-data - china-model-update
agent-plugins/china-model-builder/skills/china-model-update - china-morning-note
agent-plugins/china-model-builder/skills/china-morning-note - china-ppt-template-creator
agent-plugins/china-model-builder/skills/china-ppt-template-creator - china-pptx-author
agent-plugins/china-model-builder/skills/china-pptx-author - china-roll-forward
agent-plugins/china-model-builder/skills/china-roll-forward - china-sector-overview
agent-plugins/china-model-builder/skills/china-sector-overview - china-skill-creator
agent-plugins/china-model-builder/skills/china-skill-creator - china-tax-loss-harvesting
agent-plugins/china-model-builder/skills/china-tax-loss-harvesting - china-thesis-tracker
agent-plugins/china-model-builder/skills/china-thesis-tracker - china-variance-commentary
agent-plugins/china-model-builder/skills/china-variance-commentary - china-xlsx-author
agent-plugins/china-model-builder/skills/china-xlsx-author - china-3-statement-model
agent-plugins/china-pitch-agent/skills/china-3-statement-model - china-accrual-schedule
agent-plugins/china-pitch-agent/skills/china-accrual-schedule - china-audit-xls
agent-plugins/china-pitch-agent/skills/china-audit-xls - china-break-trace
agent-plugins/china-pitch-agent/skills/china-break-trace - china-catalyst-calendar
agent-plugins/china-pitch-agent/skills/china-catalyst-calendar - china-clean-data-xls
agent-plugins/china-pitch-agent/skills/china-clean-data-xls - china-comps
agent-plugins/china-pitch-agent/skills/china-comps - china-comps-analysis
agent-plugins/china-pitch-agent/skills/china-comps-analysis - china-dcf
agent-plugins/china-pitch-agent/skills/china-dcf - china-dcf-model
agent-plugins/china-pitch-agent/skills/china-dcf-model - china-deal-screening
agent-plugins/china-pitch-agent/skills/china-deal-screening - china-deck-refresh
agent-plugins/china-pitch-agent/skills/china-deck-refresh - china-earnings-analysis
agent-plugins/china-pitch-agent/skills/china-earnings-analysis - china-earnings-preview
agent-plugins/china-pitch-agent/skills/china-earnings-preview - china-gl-recon
agent-plugins/china-pitch-agent/skills/china-gl-recon - china-ib-check-deck
agent-plugins/china-pitch-agent/skills/china-ib-check-deck - china-idea-generation
agent-plugins/china-pitch-agent/skills/china-idea-generation - china-initiating-coverage
agent-plugins/china-pitch-agent/skills/china-initiating-coverage - china-lbo-model
agent-plugins/china-pitch-agent/skills/china-lbo-model - china-market-data
agent-plugins/china-pitch-agent/skills/china-market-data - china-model-update
agent-plugins/china-pitch-agent/skills/china-model-update - china-morning-note
agent-plugins/china-pitch-agent/skills/china-morning-note - china-ppt-template-creator
agent-plugins/china-pitch-agent/skills/china-ppt-template-creator - china-pptx-author
agent-plugins/china-pitch-agent/skills/china-pptx-author - china-roll-forward
agent-plugins/china-pitch-agent/skills/china-roll-forward - china-sector-overview
agent-plugins/china-pitch-agent/skills/china-sector-overview - china-skill-creator
agent-plugins/china-pitch-agent/skills/china-skill-creator - china-tax-loss-harvesting
agent-plugins/china-pitch-agent/skills/china-tax-loss-harvesting - china-thesis-tracker
agent-plugins/china-pitch-agent/skills/china-thesis-tracker - china-variance-commentary
agent-plugins/china-pitch-agent/skills/china-variance-commentary - china-xlsx-author
agent-plugins/china-pitch-agent/skills/china-xlsx-author - wind-mcp
mcp-servers/wind-mcp - china-3-statement-model
vertical-plugins/china-finance/skills/china-3-statement-model - china-accrual-schedule
vertical-plugins/china-finance/skills/china-accrual-schedule - china-audit-xls
vertical-plugins/china-finance/skills/china-audit-xls - china-break-trace
vertical-plugins/china-finance/skills/china-break-trace - china-catalyst-calendar
vertical-plugins/china-finance/skills/china-catalyst-calendar - china-clean-data-xls
vertical-plugins/china-finance/skills/china-clean-data-xls - china-comps
vertical-plugins/china-finance/skills/china-comps - china-comps-analysis
vertical-plugins/china-finance/skills/china-comps-analysis - china-dcf
vertical-plugins/china-finance/skills/china-dcf - china-dcf-model
vertical-plugins/china-finance/skills/china-dcf-model - china-deal-screening
vertical-plugins/china-finance/skills/china-deal-screening - china-deck-refresh
vertical-plugins/china-finance/skills/china-deck-refresh - china-earnings-analysis
vertical-plugins/china-finance/skills/china-earnings-analysis - china-earnings-preview
vertical-plugins/china-finance/skills/china-earnings-preview - china-gl-recon
vertical-plugins/china-finance/skills/china-gl-recon - china-ib-check-deck
vertical-plugins/china-finance/skills/china-ib-check-deck - china-idea-generation
vertical-plugins/china-finance/skills/china-idea-generation - china-initiating-coverage
vertical-plugins/china-finance/skills/china-initiating-coverage - china-lbo-model
vertical-plugins/china-finance/skills/china-lbo-model - china-market-data
vertical-plugins/china-finance/skills/china-market-data - china-model-update
vertical-plugins/china-finance/skills/china-model-update - china-morning-note
vertical-plugins/china-finance/skills/china-morning-note - china-ppt-template-creator
vertical-plugins/china-finance/skills/china-ppt-template-creator - china-pptx-author
vertical-plugins/china-finance/skills/china-pptx-author - china-roll-forward
vertical-plugins/china-finance/skills/china-roll-forward - china-sector-overview
vertical-plugins/china-finance/skills/china-sector-overview - china-skill-creator
vertical-plugins/china-finance/skills/china-skill-creator - china-tax-loss-harvesting
vertical-plugins/china-finance/skills/china-tax-loss-harvesting - china-thesis-tracker
vertical-plugins/china-finance/skills/china-thesis-tracker - china-variance-commentary
vertical-plugins/china-finance/skills/china-variance-commentary - china-xlsx-author
vertical-plugins/china-finance/skills/china-xlsx-author - china-accrual-schedule
vertical-plugins/fund-admin/skills/china-accrual-schedule - china-break-trace
vertical-plugins/fund-admin/skills/china-break-trace - china-gl-recon
vertical-plugins/fund-admin/skills/china-gl-recon - china-nav-tieout
vertical-plugins/fund-admin/skills/china-nav-tieout - china-roll-forward
vertical-plugins/fund-admin/skills/china-roll-forward - china-variance-commentary
vertical-plugins/fund-admin/skills/china-variance-commentary - china-buyer-list
vertical-plugins/investment-banking/skills/china-buyer-list - china-cim-builder
vertical-plugins/investment-banking/skills/china-cim-builder - china-competitive-analysis
vertical-plugins/investment-banking/skills/china-competitive-analysis - china-datapack-builder
vertical-plugins/investment-banking/skills/china-datapack-builder - china-deal-tracker
vertical-plugins/investment-banking/skills/china-deal-tracker - china-merger-model
vertical-plugins/investment-banking/skills/china-merger-model - china-pitch-deck
vertical-plugins/investment-banking/skills/china-pitch-deck - china-process-letter
vertical-plugins/investment-banking/skills/china-process-letter - china-strip-profile
vertical-plugins/investment-banking/skills/china-strip-profile - china-teaser
vertical-plugins/investment-banking/skills/china-teaser - china-kyc-doc-parse
vertical-plugins/operations/skills/china-kyc-doc-parse - china-kyc-rules
vertical-plugins/operations/skills/china-kyc-rules - china-ai-readiness
vertical-plugins/private-equity/skills/china-ai-readiness - china-dd-checklist
vertical-plugins/private-equity/skills/china-dd-checklist - china-dd-meeting-prep
vertical-plugins/private-equity/skills/china-dd-meeting-prep - china-deal-sourcing
vertical-plugins/private-equity/skills/china-deal-sourcing - china-ic-memo
vertical-plugins/private-equity/skills/china-ic-memo - china-portfolio-monitoring
vertical-plugins/private-equity/skills/china-portfolio-monitoring - china-returns-analysis
vertical-plugins/private-equity/skills/china-returns-analysis - china-unit-economics
vertical-plugins/private-equity/skills/china-unit-economics - china-value-creation-plan
vertical-plugins/private-equity/skills/china-value-creation-plan - china-client-report
vertical-plugins/wealth-management/skills/china-client-report - china-client-review
vertical-plugins/wealth-management/skills/china-client-review - china-financial-plan
vertical-plugins/wealth-management/skills/china-financial-plan - china-investment-proposal
vertical-plugins/wealth-management/skills/china-investment-proposal - china-portfolio-rebalance
vertical-plugins/wealth-management/skills/china-portfolio-rebalance
How it works
china-3-statement-model
When your agent uses it
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US 3-Statement Models
- Data Sources
- Workflow
- China-Specific Modeling Conventions
- Excel Formatting (OpenPyXL / Office JS)
- Quality Checks
- Common Pitfalls
- Data Source Priority
- Output Checklist
Files
../../../../.claude-plugin/marketplace.jsonasset2,453 bytes../../../../.claude-plugin/marketplace.jsonasset2,453 bytes../../.claude-plugin/plugin.jsonasset208 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytes../../../china-market-researcher/.claude-plugin/plugin.jsonasset227 bytes../../../china-model-builder/.claude-plugin/plugin.jsonasset205 bytes../../../china-pitch-agent/.claude-plugin/plugin.jsonasset208 bytes../../../../vertical-plugins/china-finance/.claude-plugin/plugin.jsonasset278 bytes../../../../vertical-plugins/china-finance/.claude-plugin/plugin.jsonasset278 bytes../../../../vertical-plugins/fund-admin/.claude-plugin/plugin.jsonasset199 bytes../../../../vertical-plugins/investment-banking/.claude-plugin/plugin.jsonasset215 bytes../../../../vertical-plugins/operations/.claude-plugin/plugin.jsonasset174 bytes../../../../vertical-plugins/private-equity/.claude-plugin/plugin.jsonasset212 bytes../../../../vertical-plugins/wealth-management/.claude-plugin/plugin.jsonasset211 bytes
Read SKILL.md
# china-3-statement-model
## Purpose
Build institutional-quality three-statement models (Income Statement / Balance Sheet / Cash Flow) for A-share equities, adapted for Chinese Accounting Standards (CAS) and the Chinese market context.
## Key Differences from US 3-Statement Models
| Parameter | US Model | China Model |
|-----------|----------|-------------|
| Accounting standard | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% federal | 25% standard (高新技术企业 15%) |
| Currency | USD | CNY (人民币) |
| Fiscal year | Varied | Mostly Dec 31 year-end |china-accrual-schedule
When your agent uses it
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **基金应计项目时间表** — comprehensive accrual tracking for fund accounting and NAV calculation.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-audit-xls
When your agent uses it
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytes
Read SKILL.md
# china-audit-xls
## Purpose
Audit **A股财务模型** — comprehensive quality checks for Chinese equity financial models.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **基金持仓核查** — forensic analysis of fund holdings and portfolio company financials for fund administrators.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-catalyst-calendar
When your agent uses it
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Catalyst Types (A-share Specific)
- Data Sources (Multi-Tier)
- Workflow
- Calendar Format
- China-Specific Considerations
- Integration with Other Skills
- Quality Checks
Files
SKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytes
Read SKILL.md
# china-catalyst-calendar
## Purpose
Build and maintain a **A股催化剂日历** tracking upcoming events that could materially impact stock prices within a coverage universe.
## Catalyst Types (A-share Specific)
### 1. Earnings & Financial Reports
| Event | Typical Timing | Notes |
|-------|---------------|-------|
| 业绩预告 (earnings preview) | 1-4 weeks before | Mandatory if variance >50% from prior |
| 季报 (quarterly report) | 1 month after quarter-end | 10-day grace period possible |china-clean-data-xls
When your agent uses it
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
2,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Data Issues
- Quality Checks
Files
SKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytes
Read SKILL.md
# china-clean-data-xls
## Purpose
Clean and normalize **A股财务数据** — prepare raw financial data from 巨潮 filings for modeling and analysis.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-comps
When your agent uses it
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Workflow
- Notes
Files
SKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytes
Read SKILL.md
# china-comps
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid `IFIND_AUTH_TOKEN` is configured.
```pythonchina-comps-analysis
When your agent uses it
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytes
Read SKILL.md
# china-comps-analysis
## Purpose
Build **A股可比公司分析** — peer group multiples comparison adapted for the Chinese equity market.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-dcf
When your agent uses it
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Key differences from US-market DCF
- Workflow
- Notes
Files
SKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytes
Read SKILL.md
# china-dcf
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
```python
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstandingchina-dcf-model
When your agent uses it
Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Quick Reference
- Quality Checks
Files
SKILL.mdcore2,310 bytes
Read SKILL.md
# china-dcf-model
> **Note:** This skill is an alias/wrapper for `china-dcf`. For full DCF modeling guidance, see `china-dcf/SKILL.md`.
## Purpose
Provide access to **A股DCF估值** — discounted cash flow valuation adapted for Chinese market parameters.
## Quick Reference
### Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|-----------|--------------|--------|china-deal-screening
When your agent uses it
Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,723 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Screening Templates
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytes
Read SKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screeningchina-deck-refresh
When your agent uses it
Refresh and update existing A-share investment presentation decks with latest data. Adapts the original deck-refresh skill for Chinese presentations, A-share data updates, and domestic market conventions. Triggers on "更新PPT", "刷新演示", "refresh deck China", "update presentation", "更新演示文稿", or "refresh slides [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common Update Scenarios
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytes
Read SKILL.md
# china-deck-refresh
## Purpose
Refresh **A股投资分析PPT** — update existing presentation decks with latest financial data and market information.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Latest stock price
get_financials(ticker, "income") → Latest financials
get_index_data("000001") → Market contextchina-earnings-analysis
When your agent uses it
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Key Financial Terms (Chinese → English)
- Workflow
- China-Specific Elements
- Source Citations
Files
SKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytes
Read SKILL.md
# china-earnings-analysis
## Purpose
Create professional **A股季度/年度业绩点评报告**, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表china-earnings-preview
When your agent uses it
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pre-Earnings Considerations
- Quality Checks
Files
SKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytes
Read SKILL.md
# china-earnings-preview
## Purpose
Build **A股季报/年报前瞻分析**, preparing for company earnings releases with scenario frameworks and key metrics to watch.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation, PE/PB
get_historical_data(ticker) → Trading context, 52-wk range
get_financials(ticker, "income", "annual") → Historical revenue/EPS trendschina-gl-recon
When your agent uses it
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **基金总账核对** — comprehensive general ledger reconciliation for fund accounting.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ib-check-deck
When your agent uses it
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,806 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific QC Considerations
- Quality Checks
Files
SKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytes
Read SKILL.md
# china-ib-check-deck
## Purpose
Quality-check **A股投行材料** — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verificationchina-idea-generation
When your agent uses it
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytes
Read SKILL.md
# china-idea-generation
## Purpose
Systematically surface new **A股投资机会** through quantitative screens, thematic analysis, and pattern recognition.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentumchina-initiating-coverage
When your agent uses it
Institutional-quality equity research initiation reports for A-share companies. Covers company analysis, financial modeling, valuation, chart preparation, and final report assembly. Adapted from the original initiating-coverage skill for Chinese market conventions, CAS accounting, and AkShare data sources. Triggers on "A股首次覆盖", "首次评级", "initiate coverage China", "initiate on [company]", "A股研究报告", or "start research on [company]".
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
2,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytes
Read SKILL.md
# china-initiating-coverage
## Purpose
Create institutional-quality **A股首次覆盖研究报告**, following Chinese sell-side research standards.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading historychina-lbo-model
When your agent uses it
Leveraged buyout model for A-share and China-market LBO scenarios. Adapts the standard LBO-model methodology for Chinese debt markets, CAS accounting, and AkShare data. Use instead of the original lbo-model skill when analyzing leveraged buyouts involving Chinese targets or China-based sponsors.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US LBO Models
- Data Sources
- Workflow
- China-Specific Considerations
- Excel Model Structure
- Output Checklist
- Reference
Files
SKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytes
Read SKILL.md
# china-lbo-model
## Purpose
Build institutional-quality LBO models for transactions in the China market, accounting for:
- Chinese debt market structures (bank loans, 公司债, 中期票据)
- CAS accounting standards
- A-share trading restrictions and considerations
- China-specific tax treatment
## Key Differences from US LBO Models
| Parameter | US LBO | China LBO |
|-----------|--------|-----------|china-market-data
When your agent uses it
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data sources (multi-tier)
- iFind MCP tools（`mcp__ifind__*`）
- AkShare MCP tools（`mcp__akshare__*`）
- Workflow
- Note on data coverage
Files
SKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytes
Read SKILL.md
# china-market-data
## Data sources (multi-tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
- 覆盖：股票、基金、宏观经济、新闻公告、债券、港美股、指数板块
- MCP 服务：`ifind-mcp`（需 `IFIND_AUTH_TOKEN` 密钥）
- 优势：精确财务数据、一致预期、ESG评级、债券详情、港美股、宏观行业指标china-model-update
When your agent uses it
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Update Considerations
- Quality Checks
Files
SKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytes
Read SKILL.md
# china-model-update
## Purpose
Update existing **A股财务模型** with new data, ensuring all cells are traceable to sources and all changes are documented.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → Q[X] actual results
get_financials(ticker, "balance", "quarterly") → BS update
get_financials(ticker, "cashflow", "quarterly") → CF updatechina-morning-note
When your agent uses it
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources (Multi-Tier)
- Data Sources (Legacy)
- Workflow
- China-Specific Morning Context
- Quality Checks
Files
SKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytes
Read SKILL.md
# china-morning-note
## Purpose
Draft concise **A股晨会纪要/每日策略**, summarizing overnight developments and pre-market sentiment for the Chinese equity market. Designed for the typical Chinese sell-side 晨会 format (typically 7:00-8:30 AM before market open).
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ppt-template-creator
When your agent uses it
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,995 bytesSKILL.mdcore5,995 bytes
Read SKILL.md
# china-ppt-template-creator
## Purpose
Create **A股投资分析PPT模板** — standardized PowerPoint templates for Chinese equity research and client presentations.
## Data Sources
N/A (template creation)
## Workflow
### Step 1: Define Template Requirements
china-pptx-author
When your agent uses it
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,152 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Pipeline
- Presentation Structure
- Design Standards
- Content Rules
- Quality Checklist
- Usage
Scripts executed separately
../../../../scripts/generate_a_share_ppt.py
Files
SKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytes../../../../scripts/generate_a_share_ppt.pyruns38,322 bytes
Read SKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions arechina-roll-forward
When your agent uses it
Roll forward fund accounting records for new reporting periods. Adapts the original roll-forward skill for Chinese fund administration and reporting requirements. Triggers on "基金账务滚动", "账务更新", "roll forward fund", "update fund books", "基金新期间", or "roll forward [fund] [period]".
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **基金账务** — update fund accounting records for new periods.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-sector-overview
When your agent uses it
Comprehensive A-share sector and industry landscape reports — market size, competitive positioning, policy environment, key A-share players, trading multiples, and thematic trends. Adapted from the original sector-overview skill for Chinese market structure and terminology. Triggers on "A股行业分析", "行业研究", "板块分析", "sector overview China", "A-share sector deep dive", "白酒/半导体/新能源 行业分析", or "[industry] landscape China".
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytes
Read SKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比china-skill-creator
When your agent uses it
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Skill Creation Pattern
- Quick-Start Template
- Example: Creating a New Skill
Scripts executed separately
../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/sync-china-skills.py
Files
SKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/sync-china-skills.pyruns3,089 bytes
Read SKILL.md
# china-skill-creator
## Purpose
Create new **china-* skills** — scaffold and template new skills for the China financial services plugin ecosystem.
## When to Use
Use this skill when:
- Creating a new china-* skill from scratch
- Adapting an existing plugins/ skill to China context
- Extending the china/ directory with new capabilities
- Ensuring consistency with existing china-* skill patterns
china-tax-loss-harvesting
When your agent uses it
Tax-loss harvesting strategies for A-share portfolios. Adapts the original tax-loss-harvesting skill for Chinese tax rules, A-share market conventions, and domestic tax treatment. Triggers on "A股税务亏损抵扣", "亏损抵扣", "tax loss harvesting China", "税务优化", "亏损抵扣策略", or "harvest tax losses [portfolio]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,610 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific TLH Considerations
- TLH for Different Client Types
- Quality Checks
Files
SKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytes
Read SKILL.md
# china-tax-loss-harvesting
## Purpose
Implement **A股税务亏损抵扣** — systematic tax-loss harvesting for Chinese investment portfolios.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Cost basis / purchase history
```china-thesis-tracker
When your agent uses it
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
2,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Thesis Considerations
- Quality Checks
Files
SKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytes
Read SKILL.md
# china-thesis-tracker
## Purpose
Track and maintain **A股投资逻辑/thesis** for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current price, valuation
get_historical_data(ticker) → Price trajectory
get_financials(ticker, "income") → Financial performancechina-variance-commentary
When your agent uses it
Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **基金业绩点评** — structured variance commentary on fund performance and portfolio changes.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-xlsx-author
When your agent uses it
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Excel Conventions
- Quality Checks
Files
SKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytes
Read SKILL.md
# china-xlsx-author
## Purpose
Create professional **A股财务分析Excel模型** — structured workbooks for Chinese equity analysis.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Income statement data
get_financials(ticker, "balance") → Balance sheet data
get_financials(ticker, "cashflow") → Cash flow datachina-3-statement-model
When your agent uses it
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US 3-Statement Models
- Data Sources
- Workflow
- China-Specific Modeling Conventions
- Excel Formatting (OpenPyXL / Office JS)
- Quality Checks
- Common Pitfalls
- Data Source Priority
- Output Checklist
Files
SKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytes
Read SKILL.md
# china-3-statement-model
## Purpose
Build institutional-quality three-statement models (Income Statement / Balance Sheet / Cash Flow) for A-share equities, adapted for Chinese Accounting Standards (CAS) and the Chinese market context.
## Key Differences from US 3-Statement Models
| Parameter | US Model | China Model |
|-----------|----------|-------------|
| Accounting standard | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% federal | 25% standard (高新技术企业 15%) |
| Currency | USD | CNY (人民币) |
| Fiscal year | Varied | Mostly Dec 31 year-end |china-accrual-schedule
When your agent uses it
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **基金应计项目时间表** — comprehensive accrual tracking for fund accounting and NAV calculation.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-audit-xls
When your agent uses it
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytes
Read SKILL.md
# china-audit-xls
## Purpose
Audit **A股财务模型** — comprehensive quality checks for Chinese equity financial models.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **基金持仓核查** — forensic analysis of fund holdings and portfolio company financials for fund administrators.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-catalyst-calendar
When your agent uses it
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Catalyst Types (A-share Specific)
- Data Sources (Multi-Tier)
- Workflow
- Calendar Format
- China-Specific Considerations
- Integration with Other Skills
- Quality Checks
Files
SKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytes
Read SKILL.md
# china-catalyst-calendar
## Purpose
Build and maintain a **A股催化剂日历** tracking upcoming events that could materially impact stock prices within a coverage universe.
## Catalyst Types (A-share Specific)
### 1. Earnings & Financial Reports
| Event | Typical Timing | Notes |
|-------|---------------|-------|
| 业绩预告 (earnings preview) | 1-4 weeks before | Mandatory if variance >50% from prior |
| 季报 (quarterly report) | 1 month after quarter-end | 10-day grace period possible |china-clean-data-xls
When your agent uses it
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
2,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Data Issues
- Quality Checks
Files
SKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytes
Read SKILL.md
# china-clean-data-xls
## Purpose
Clean and normalize **A股财务数据** — prepare raw financial data from 巨潮 filings for modeling and analysis.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-comps
When your agent uses it
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Workflow
- Notes
Files
SKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytes
Read SKILL.md
# china-comps
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid `IFIND_AUTH_TOKEN` is configured.
```pythonchina-comps-analysis
When your agent uses it
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytes
Read SKILL.md
# china-comps-analysis
## Purpose
Build **A股可比公司分析** — peer group multiples comparison adapted for the Chinese equity market.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-dcf
When your agent uses it
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Key differences from US-market DCF
- Workflow
- Notes
Files
SKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytes
Read SKILL.md
# china-dcf
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
```python
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstandingchina-dcf-model
When your agent uses it
Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Quick Reference
- Quality Checks
Files
SKILL.mdcore2,310 bytes
Read SKILL.md
# china-dcf-model
> **Note:** This skill is an alias/wrapper for `china-dcf`. For full DCF modeling guidance, see `china-dcf/SKILL.md`.
## Purpose
Provide access to **A股DCF估值** — discounted cash flow valuation adapted for Chinese market parameters.
## Quick Reference
### Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|-----------|--------------|--------|china-deal-screening
When your agent uses it
Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,723 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Screening Templates
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytes
Read SKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screeningchina-deck-refresh
When your agent uses it
Refresh and update existing A-share investment presentation decks with latest data. Adapts the original deck-refresh skill for Chinese presentations, A-share data updates, and domestic market conventions. Triggers on "更新PPT", "刷新演示", "refresh deck China", "update presentation", "更新演示文稿", or "refresh slides [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common Update Scenarios
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytes
Read SKILL.md
# china-deck-refresh
## Purpose
Refresh **A股投资分析PPT** — update existing presentation decks with latest financial data and market information.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Latest stock price
get_financials(ticker, "income") → Latest financials
get_index_data("000001") → Market contextchina-earnings-analysis
When your agent uses it
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Key Financial Terms (Chinese → English)
- Workflow
- China-Specific Elements
- Source Citations
Files
SKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytes
Read SKILL.md
# china-earnings-analysis
## Purpose
Create professional **A股季度/年度业绩点评报告**, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表china-earnings-preview
When your agent uses it
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pre-Earnings Considerations
- Quality Checks
Files
SKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytes
Read SKILL.md
# china-earnings-preview
## Purpose
Build **A股季报/年报前瞻分析**, preparing for company earnings releases with scenario frameworks and key metrics to watch.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation, PE/PB
get_historical_data(ticker) → Trading context, 52-wk range
get_financials(ticker, "income", "annual") → Historical revenue/EPS trendschina-gl-recon
When your agent uses it
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **基金总账核对** — comprehensive general ledger reconciliation for fund accounting.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ib-check-deck
When your agent uses it
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,806 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific QC Considerations
- Quality Checks
Files
SKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytes
Read SKILL.md
# china-ib-check-deck
## Purpose
Quality-check **A股投行材料** — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verificationchina-idea-generation
When your agent uses it
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytes
Read SKILL.md
# china-idea-generation
## Purpose
Systematically surface new **A股投资机会** through quantitative screens, thematic analysis, and pattern recognition.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentumchina-initiating-coverage
When your agent uses it
Institutional-quality equity research initiation reports for A-share companies. Covers company analysis, financial modeling, valuation, chart preparation, and final report assembly. Adapted from the original initiating-coverage skill for Chinese market conventions, CAS accounting, and AkShare data sources. Triggers on "A股首次覆盖", "首次评级", "initiate coverage China", "initiate on [company]", "A股研究报告", or "start research on [company]".
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
2,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytes
Read SKILL.md
# china-initiating-coverage
## Purpose
Create institutional-quality **A股首次覆盖研究报告**, following Chinese sell-side research standards.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading historychina-lbo-model
When your agent uses it
Leveraged buyout model for A-share and China-market LBO scenarios. Adapts the standard LBO-model methodology for Chinese debt markets, CAS accounting, and AkShare data. Use instead of the original lbo-model skill when analyzing leveraged buyouts involving Chinese targets or China-based sponsors.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US LBO Models
- Data Sources
- Workflow
- China-Specific Considerations
- Excel Model Structure
- Output Checklist
- Reference
Files
SKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytes
Read SKILL.md
# china-lbo-model
## Purpose
Build institutional-quality LBO models for transactions in the China market, accounting for:
- Chinese debt market structures (bank loans, 公司债, 中期票据)
- CAS accounting standards
- A-share trading restrictions and considerations
- China-specific tax treatment
## Key Differences from US LBO Models
| Parameter | US LBO | China LBO |
|-----------|--------|-----------|china-market-data
When your agent uses it
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data sources (multi-tier)
- iFind MCP tools（`mcp__ifind__*`）
- AkShare MCP tools（`mcp__akshare__*`）
- Workflow
- Note on data coverage
Files
SKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytes
Read SKILL.md
# china-market-data
## Data sources (multi-tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
- 覆盖：股票、基金、宏观经济、新闻公告、债券、港美股、指数板块
- MCP 服务：`ifind-mcp`（需 `IFIND_AUTH_TOKEN` 密钥）
- 优势：精确财务数据、一致预期、ESG评级、债券详情、港美股、宏观行业指标china-model-update
When your agent uses it
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Update Considerations
- Quality Checks
Files
SKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytes
Read SKILL.md
# china-model-update
## Purpose
Update existing **A股财务模型** with new data, ensuring all cells are traceable to sources and all changes are documented.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → Q[X] actual results
get_financials(ticker, "balance", "quarterly") → BS update
get_financials(ticker, "cashflow", "quarterly") → CF updatechina-morning-note
When your agent uses it
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources (Multi-Tier)
- Data Sources (Legacy)
- Workflow
- China-Specific Morning Context
- Quality Checks
Files
SKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytes
Read SKILL.md
# china-morning-note
## Purpose
Draft concise **A股晨会纪要/每日策略**, summarizing overnight developments and pre-market sentiment for the Chinese equity market. Designed for the typical Chinese sell-side 晨会 format (typically 7:00-8:30 AM before market open).
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ppt-template-creator
When your agent uses it
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,995 bytesSKILL.mdcore5,995 bytes
Read SKILL.md
# china-ppt-template-creator
## Purpose
Create **A股投资分析PPT模板** — standardized PowerPoint templates for Chinese equity research and client presentations.
## Data Sources
N/A (template creation)
## Workflow
### Step 1: Define Template Requirements
china-pptx-author
When your agent uses it
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,152 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Pipeline
- Presentation Structure
- Design Standards
- Content Rules
- Quality Checklist
- Usage
Scripts executed separately
../../../../scripts/generate_a_share_ppt.py
Files
SKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytes../../../../scripts/generate_a_share_ppt.pyruns38,322 bytes
Read SKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions arechina-roll-forward
When your agent uses it
Roll forward fund accounting records for new reporting periods. Adapts the original roll-forward skill for Chinese fund administration and reporting requirements. Triggers on "基金账务滚动", "账务更新", "roll forward fund", "update fund books", "基金新期间", or "roll forward [fund] [period]".
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **基金账务** — update fund accounting records for new periods.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-sector-overview
When your agent uses it
Comprehensive A-share sector and industry landscape reports — market size, competitive positioning, policy environment, key A-share players, trading multiples, and thematic trends. Adapted from the original sector-overview skill for Chinese market structure and terminology. Triggers on "A股行业分析", "行业研究", "板块分析", "sector overview China", "A-share sector deep dive", "白酒/半导体/新能源 行业分析", or "[industry] landscape China".
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytes
Read SKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比china-skill-creator
When your agent uses it
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Skill Creation Pattern
- Quick-Start Template
- Example: Creating a New Skill
Scripts executed separately
../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/sync-china-skills.py
Files
SKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/sync-china-skills.pyruns3,089 bytes
Read SKILL.md
# china-skill-creator
## Purpose
Create new **china-* skills** — scaffold and template new skills for the China financial services plugin ecosystem.
## When to Use
Use this skill when:
- Creating a new china-* skill from scratch
- Adapting an existing plugins/ skill to China context
- Extending the china/ directory with new capabilities
- Ensuring consistency with existing china-* skill patterns
china-tax-loss-harvesting
When your agent uses it
Tax-loss harvesting strategies for A-share portfolios. Adapts the original tax-loss-harvesting skill for Chinese tax rules, A-share market conventions, and domestic tax treatment. Triggers on "A股税务亏损抵扣", "亏损抵扣", "tax loss harvesting China", "税务优化", "亏损抵扣策略", or "harvest tax losses [portfolio]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,610 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific TLH Considerations
- TLH for Different Client Types
- Quality Checks
Files
SKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytes
Read SKILL.md
# china-tax-loss-harvesting
## Purpose
Implement **A股税务亏损抵扣** — systematic tax-loss harvesting for Chinese investment portfolios.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Cost basis / purchase history
```china-thesis-tracker
When your agent uses it
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
2,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Thesis Considerations
- Quality Checks
Files
SKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytes
Read SKILL.md
# china-thesis-tracker
## Purpose
Track and maintain **A股投资逻辑/thesis** for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current price, valuation
get_historical_data(ticker) → Price trajectory
get_financials(ticker, "income") → Financial performancechina-variance-commentary
When your agent uses it
Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **基金业绩点评** — structured variance commentary on fund performance and portfolio changes.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-xlsx-author
When your agent uses it
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Excel Conventions
- Quality Checks
Files
SKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytes
Read SKILL.md
# china-xlsx-author
## Purpose
Create professional **A股财务分析Excel模型** — structured workbooks for Chinese equity analysis.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Income statement data
get_financials(ticker, "balance") → Balance sheet data
get_financials(ticker, "cashflow") → Cash flow datachina-3-statement-model
When your agent uses it
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US 3-Statement Models
- Data Sources
- Workflow
- China-Specific Modeling Conventions
- Excel Formatting (OpenPyXL / Office JS)
- Quality Checks
- Common Pitfalls
- Data Source Priority
- Output Checklist
Files
SKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytes
Read SKILL.md
# china-3-statement-model
## Purpose
Build institutional-quality three-statement models (Income Statement / Balance Sheet / Cash Flow) for A-share equities, adapted for Chinese Accounting Standards (CAS) and the Chinese market context.
## Key Differences from US 3-Statement Models
| Parameter | US Model | China Model |
|-----------|----------|-------------|
| Accounting standard | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% federal | 25% standard (高新技术企业 15%) |
| Currency | USD | CNY (人民币) |
| Fiscal year | Varied | Mostly Dec 31 year-end |china-accrual-schedule
When your agent uses it
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **基金应计项目时间表** — comprehensive accrual tracking for fund accounting and NAV calculation.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-audit-xls
When your agent uses it
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytes
Read SKILL.md
# china-audit-xls
## Purpose
Audit **A股财务模型** — comprehensive quality checks for Chinese equity financial models.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **基金持仓核查** — forensic analysis of fund holdings and portfolio company financials for fund administrators.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-catalyst-calendar
When your agent uses it
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Catalyst Types (A-share Specific)
- Data Sources (Multi-Tier)
- Workflow
- Calendar Format
- China-Specific Considerations
- Integration with Other Skills
- Quality Checks
Files
SKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytes
Read SKILL.md
# china-catalyst-calendar
## Purpose
Build and maintain a **A股催化剂日历** tracking upcoming events that could materially impact stock prices within a coverage universe.
## Catalyst Types (A-share Specific)
### 1. Earnings & Financial Reports
| Event | Typical Timing | Notes |
|-------|---------------|-------|
| 业绩预告 (earnings preview) | 1-4 weeks before | Mandatory if variance >50% from prior |
| 季报 (quarterly report) | 1 month after quarter-end | 10-day grace period possible |china-clean-data-xls
When your agent uses it
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
2,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Data Issues
- Quality Checks
Files
SKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytes
Read SKILL.md
# china-clean-data-xls
## Purpose
Clean and normalize **A股财务数据** — prepare raw financial data from 巨潮 filings for modeling and analysis.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-comps
When your agent uses it
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Workflow
- Notes
Files
SKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytes
Read SKILL.md
# china-comps
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid `IFIND_AUTH_TOKEN` is configured.
```pythonchina-comps-analysis
When your agent uses it
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytes
Read SKILL.md
# china-comps-analysis
## Purpose
Build **A股可比公司分析** — peer group multiples comparison adapted for the Chinese equity market.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-dcf
When your agent uses it
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Key differences from US-market DCF
- Workflow
- Notes
Files
SKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytes
Read SKILL.md
# china-dcf
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
```python
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstandingchina-dcf-model
When your agent uses it
Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Quick Reference
- Quality Checks
Files
SKILL.mdcore2,310 bytes
Read SKILL.md
# china-dcf-model
> **Note:** This skill is an alias/wrapper for `china-dcf`. For full DCF modeling guidance, see `china-dcf/SKILL.md`.
## Purpose
Provide access to **A股DCF估值** — discounted cash flow valuation adapted for Chinese market parameters.
## Quick Reference
### Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|-----------|--------------|--------|china-deal-screening
When your agent uses it
Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,723 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Screening Templates
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytes
Read SKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screeningchina-deck-refresh
When your agent uses it
Refresh and update existing A-share investment presentation decks with latest data. Adapts the original deck-refresh skill for Chinese presentations, A-share data updates, and domestic market conventions. Triggers on "更新PPT", "刷新演示", "refresh deck China", "update presentation", "更新演示文稿", or "refresh slides [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common Update Scenarios
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytes
Read SKILL.md
# china-deck-refresh
## Purpose
Refresh **A股投资分析PPT** — update existing presentation decks with latest financial data and market information.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Latest stock price
get_financials(ticker, "income") → Latest financials
get_index_data("000001") → Market contextchina-earnings-analysis
When your agent uses it
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Key Financial Terms (Chinese → English)
- Workflow
- China-Specific Elements
- Source Citations
Files
SKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytes
Read SKILL.md
# china-earnings-analysis
## Purpose
Create professional **A股季度/年度业绩点评报告**, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表china-earnings-preview
When your agent uses it
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pre-Earnings Considerations
- Quality Checks
Files
SKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytes
Read SKILL.md
# china-earnings-preview
## Purpose
Build **A股季报/年报前瞻分析**, preparing for company earnings releases with scenario frameworks and key metrics to watch.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation, PE/PB
get_historical_data(ticker) → Trading context, 52-wk range
get_financials(ticker, "income", "annual") → Historical revenue/EPS trendschina-gl-recon
When your agent uses it
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **基金总账核对** — comprehensive general ledger reconciliation for fund accounting.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ib-check-deck
When your agent uses it
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,806 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific QC Considerations
- Quality Checks
Files
SKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytes
Read SKILL.md
# china-ib-check-deck
## Purpose
Quality-check **A股投行材料** — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verificationchina-idea-generation
When your agent uses it
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytes
Read SKILL.md
# china-idea-generation
## Purpose
Systematically surface new **A股投资机会** through quantitative screens, thematic analysis, and pattern recognition.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentumchina-initiating-coverage
When your agent uses it
Institutional-quality equity research initiation reports for A-share companies. Covers company analysis, financial modeling, valuation, chart preparation, and final report assembly. Adapted from the original initiating-coverage skill for Chinese market conventions, CAS accounting, and AkShare data sources. Triggers on "A股首次覆盖", "首次评级", "initiate coverage China", "initiate on [company]", "A股研究报告", or "start research on [company]".
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
2,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytes
Read SKILL.md
# china-initiating-coverage
## Purpose
Create institutional-quality **A股首次覆盖研究报告**, following Chinese sell-side research standards.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading historychina-lbo-model
When your agent uses it
Leveraged buyout model for A-share and China-market LBO scenarios. Adapts the standard LBO-model methodology for Chinese debt markets, CAS accounting, and AkShare data. Use instead of the original lbo-model skill when analyzing leveraged buyouts involving Chinese targets or China-based sponsors.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US LBO Models
- Data Sources
- Workflow
- China-Specific Considerations
- Excel Model Structure
- Output Checklist
- Reference
Files
SKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytes
Read SKILL.md
# china-lbo-model
## Purpose
Build institutional-quality LBO models for transactions in the China market, accounting for:
- Chinese debt market structures (bank loans, 公司债, 中期票据)
- CAS accounting standards
- A-share trading restrictions and considerations
- China-specific tax treatment
## Key Differences from US LBO Models
| Parameter | US LBO | China LBO |
|-----------|--------|-----------|china-market-data
When your agent uses it
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data sources (multi-tier)
- iFind MCP tools（`mcp__ifind__*`）
- AkShare MCP tools（`mcp__akshare__*`）
- Workflow
- Note on data coverage
Files
SKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytes
Read SKILL.md
# china-market-data
## Data sources (multi-tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
- 覆盖：股票、基金、宏观经济、新闻公告、债券、港美股、指数板块
- MCP 服务：`ifind-mcp`（需 `IFIND_AUTH_TOKEN` 密钥）
- 优势：精确财务数据、一致预期、ESG评级、债券详情、港美股、宏观行业指标china-model-update
When your agent uses it
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Update Considerations
- Quality Checks
Files
SKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytes
Read SKILL.md
# china-model-update
## Purpose
Update existing **A股财务模型** with new data, ensuring all cells are traceable to sources and all changes are documented.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → Q[X] actual results
get_financials(ticker, "balance", "quarterly") → BS update
get_financials(ticker, "cashflow", "quarterly") → CF updatechina-morning-note
When your agent uses it
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources (Multi-Tier)
- Data Sources (Legacy)
- Workflow
- China-Specific Morning Context
- Quality Checks
Files
SKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytes
Read SKILL.md
# china-morning-note
## Purpose
Draft concise **A股晨会纪要/每日策略**, summarizing overnight developments and pre-market sentiment for the Chinese equity market. Designed for the typical Chinese sell-side 晨会 format (typically 7:00-8:30 AM before market open).
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ppt-template-creator
When your agent uses it
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,995 bytesSKILL.mdcore5,995 bytes
Read SKILL.md
# china-ppt-template-creator
## Purpose
Create **A股投资分析PPT模板** — standardized PowerPoint templates for Chinese equity research and client presentations.
## Data Sources
N/A (template creation)
## Workflow
### Step 1: Define Template Requirements
china-pptx-author
When your agent uses it
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,152 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Pipeline
- Presentation Structure
- Design Standards
- Content Rules
- Quality Checklist
- Usage
Scripts executed separately
../../../../scripts/generate_a_share_ppt.py
Files
SKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytes../../../../scripts/generate_a_share_ppt.pyruns38,322 bytes
Read SKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions arechina-roll-forward
When your agent uses it
Roll forward fund accounting records for new reporting periods. Adapts the original roll-forward skill for Chinese fund administration and reporting requirements. Triggers on "基金账务滚动", "账务更新", "roll forward fund", "update fund books", "基金新期间", or "roll forward [fund] [period]".
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **基金账务** — update fund accounting records for new periods.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-sector-overview
When your agent uses it
Comprehensive A-share sector and industry landscape reports — market size, competitive positioning, policy environment, key A-share players, trading multiples, and thematic trends. Adapted from the original sector-overview skill for Chinese market structure and terminology. Triggers on "A股行业分析", "行业研究", "板块分析", "sector overview China", "A-share sector deep dive", "白酒/半导体/新能源 行业分析", or "[industry] landscape China".
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytes
Read SKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比china-skill-creator
When your agent uses it
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Skill Creation Pattern
- Quick-Start Template
- Example: Creating a New Skill
Scripts executed separately
../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/sync-china-skills.py
Files
SKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/sync-china-skills.pyruns3,089 bytes
Read SKILL.md
# china-skill-creator
## Purpose
Create new **china-* skills** — scaffold and template new skills for the China financial services plugin ecosystem.
## When to Use
Use this skill when:
- Creating a new china-* skill from scratch
- Adapting an existing plugins/ skill to China context
- Extending the china/ directory with new capabilities
- Ensuring consistency with existing china-* skill patterns
china-tax-loss-harvesting
When your agent uses it
Tax-loss harvesting strategies for A-share portfolios. Adapts the original tax-loss-harvesting skill for Chinese tax rules, A-share market conventions, and domestic tax treatment. Triggers on "A股税务亏损抵扣", "亏损抵扣", "tax loss harvesting China", "税务优化", "亏损抵扣策略", or "harvest tax losses [portfolio]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,610 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific TLH Considerations
- TLH for Different Client Types
- Quality Checks
Files
SKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytes
Read SKILL.md
# china-tax-loss-harvesting
## Purpose
Implement **A股税务亏损抵扣** — systematic tax-loss harvesting for Chinese investment portfolios.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Cost basis / purchase history
```china-thesis-tracker
When your agent uses it
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
2,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Thesis Considerations
- Quality Checks
Files
SKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytes
Read SKILL.md
# china-thesis-tracker
## Purpose
Track and maintain **A股投资逻辑/thesis** for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current price, valuation
get_historical_data(ticker) → Price trajectory
get_financials(ticker, "income") → Financial performancechina-variance-commentary
When your agent uses it
Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **基金业绩点评** — structured variance commentary on fund performance and portfolio changes.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-xlsx-author
When your agent uses it
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Excel Conventions
- Quality Checks
Files
SKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytes
Read SKILL.md
# china-xlsx-author
## Purpose
Create professional **A股财务分析Excel模型** — structured workbooks for Chinese equity analysis.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Income statement data
get_financials(ticker, "balance") → Balance sheet data
get_financials(ticker, "cashflow") → Cash flow datachina-3-statement-model
When your agent uses it
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US 3-Statement Models
- Data Sources
- Workflow
- China-Specific Modeling Conventions
- Excel Formatting (OpenPyXL / Office JS)
- Quality Checks
- Common Pitfalls
- Data Source Priority
- Output Checklist
Files
SKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytes
Read SKILL.md
# china-3-statement-model
## Purpose
Build institutional-quality three-statement models (Income Statement / Balance Sheet / Cash Flow) for A-share equities, adapted for Chinese Accounting Standards (CAS) and the Chinese market context.
## Key Differences from US 3-Statement Models
| Parameter | US Model | China Model |
|-----------|----------|-------------|
| Accounting standard | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% federal | 25% standard (高新技术企业 15%) |
| Currency | USD | CNY (人民币) |
| Fiscal year | Varied | Mostly Dec 31 year-end |china-accrual-schedule
When your agent uses it
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **基金应计项目时间表** — comprehensive accrual tracking for fund accounting and NAV calculation.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-audit-xls
When your agent uses it
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytes
Read SKILL.md
# china-audit-xls
## Purpose
Audit **A股财务模型** — comprehensive quality checks for Chinese equity financial models.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **基金持仓核查** — forensic analysis of fund holdings and portfolio company financials for fund administrators.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-catalyst-calendar
When your agent uses it
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Catalyst Types (A-share Specific)
- Data Sources (Multi-Tier)
- Workflow
- Calendar Format
- China-Specific Considerations
- Integration with Other Skills
- Quality Checks
Files
SKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytes
Read SKILL.md
# china-catalyst-calendar
## Purpose
Build and maintain a **A股催化剂日历** tracking upcoming events that could materially impact stock prices within a coverage universe.
## Catalyst Types (A-share Specific)
### 1. Earnings & Financial Reports
| Event | Typical Timing | Notes |
|-------|---------------|-------|
| 业绩预告 (earnings preview) | 1-4 weeks before | Mandatory if variance >50% from prior |
| 季报 (quarterly report) | 1 month after quarter-end | 10-day grace period possible |china-clean-data-xls
When your agent uses it
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
2,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Data Issues
- Quality Checks
Files
SKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytes
Read SKILL.md
# china-clean-data-xls
## Purpose
Clean and normalize **A股财务数据** — prepare raw financial data from 巨潮 filings for modeling and analysis.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-comps
When your agent uses it
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Workflow
- Notes
Files
SKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytes
Read SKILL.md
# china-comps
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid `IFIND_AUTH_TOKEN` is configured.
```pythonchina-comps-analysis
When your agent uses it
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytes
Read SKILL.md
# china-comps-analysis
## Purpose
Build **A股可比公司分析** — peer group multiples comparison adapted for the Chinese equity market.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-dcf
When your agent uses it
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Key differences from US-market DCF
- Workflow
- Notes
Files
SKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytes
Read SKILL.md
# china-dcf
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
```python
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstandingchina-dcf-model
When your agent uses it
Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Quick Reference
- Quality Checks
Files
SKILL.mdcore2,310 bytes
Read SKILL.md
# china-dcf-model
> **Note:** This skill is an alias/wrapper for `china-dcf`. For full DCF modeling guidance, see `china-dcf/SKILL.md`.
## Purpose
Provide access to **A股DCF估值** — discounted cash flow valuation adapted for Chinese market parameters.
## Quick Reference
### Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|-----------|--------------|--------|china-deal-screening
When your agent uses it
Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,723 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Screening Templates
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytes
Read SKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screeningchina-deck-refresh
When your agent uses it
Refresh and update existing A-share investment presentation decks with latest data. Adapts the original deck-refresh skill for Chinese presentations, A-share data updates, and domestic market conventions. Triggers on "更新PPT", "刷新演示", "refresh deck China", "update presentation", "更新演示文稿", or "refresh slides [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common Update Scenarios
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytes
Read SKILL.md
# china-deck-refresh
## Purpose
Refresh **A股投资分析PPT** — update existing presentation decks with latest financial data and market information.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Latest stock price
get_financials(ticker, "income") → Latest financials
get_index_data("000001") → Market contextchina-earnings-analysis
When your agent uses it
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Key Financial Terms (Chinese → English)
- Workflow
- China-Specific Elements
- Source Citations
Files
SKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytes
Read SKILL.md
# china-earnings-analysis
## Purpose
Create professional **A股季度/年度业绩点评报告**, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表china-earnings-preview
When your agent uses it
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pre-Earnings Considerations
- Quality Checks
Files
SKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytes
Read SKILL.md
# china-earnings-preview
## Purpose
Build **A股季报/年报前瞻分析**, preparing for company earnings releases with scenario frameworks and key metrics to watch.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation, PE/PB
get_historical_data(ticker) → Trading context, 52-wk range
get_financials(ticker, "income", "annual") → Historical revenue/EPS trendschina-gl-recon
When your agent uses it
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **基金总账核对** — comprehensive general ledger reconciliation for fund accounting.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ib-check-deck
When your agent uses it
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,806 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific QC Considerations
- Quality Checks
Files
SKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytes
Read SKILL.md
# china-ib-check-deck
## Purpose
Quality-check **A股投行材料** — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verificationchina-idea-generation
When your agent uses it
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytes
Read SKILL.md
# china-idea-generation
## Purpose
Systematically surface new **A股投资机会** through quantitative screens, thematic analysis, and pattern recognition.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentumchina-initiating-coverage
When your agent uses it
Institutional-quality equity research initiation reports for A-share companies. Covers company analysis, financial modeling, valuation, chart preparation, and final report assembly. Adapted from the original initiating-coverage skill for Chinese market conventions, CAS accounting, and AkShare data sources. Triggers on "A股首次覆盖", "首次评级", "initiate coverage China", "initiate on [company]", "A股研究报告", or "start research on [company]".
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
2,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytes
Read SKILL.md
# china-initiating-coverage
## Purpose
Create institutional-quality **A股首次覆盖研究报告**, following Chinese sell-side research standards.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading historychina-lbo-model
When your agent uses it
Leveraged buyout model for A-share and China-market LBO scenarios. Adapts the standard LBO-model methodology for Chinese debt markets, CAS accounting, and AkShare data. Use instead of the original lbo-model skill when analyzing leveraged buyouts involving Chinese targets or China-based sponsors.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US LBO Models
- Data Sources
- Workflow
- China-Specific Considerations
- Excel Model Structure
- Output Checklist
- Reference
Files
SKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytes
Read SKILL.md
# china-lbo-model
## Purpose
Build institutional-quality LBO models for transactions in the China market, accounting for:
- Chinese debt market structures (bank loans, 公司债, 中期票据)
- CAS accounting standards
- A-share trading restrictions and considerations
- China-specific tax treatment
## Key Differences from US LBO Models
| Parameter | US LBO | China LBO |
|-----------|--------|-----------|china-market-data
When your agent uses it
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data sources (multi-tier)
- iFind MCP tools（`mcp__ifind__*`）
- AkShare MCP tools（`mcp__akshare__*`）
- Workflow
- Note on data coverage
Files
SKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytes
Read SKILL.md
# china-market-data
## Data sources (multi-tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
- 覆盖：股票、基金、宏观经济、新闻公告、债券、港美股、指数板块
- MCP 服务：`ifind-mcp`（需 `IFIND_AUTH_TOKEN` 密钥）
- 优势：精确财务数据、一致预期、ESG评级、债券详情、港美股、宏观行业指标china-model-update
When your agent uses it
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Update Considerations
- Quality Checks
Files
SKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytes
Read SKILL.md
# china-model-update
## Purpose
Update existing **A股财务模型** with new data, ensuring all cells are traceable to sources and all changes are documented.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → Q[X] actual results
get_financials(ticker, "balance", "quarterly") → BS update
get_financials(ticker, "cashflow", "quarterly") → CF updatechina-morning-note
When your agent uses it
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources (Multi-Tier)
- Data Sources (Legacy)
- Workflow
- China-Specific Morning Context
- Quality Checks
Files
SKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytes
Read SKILL.md
# china-morning-note
## Purpose
Draft concise **A股晨会纪要/每日策略**, summarizing overnight developments and pre-market sentiment for the Chinese equity market. Designed for the typical Chinese sell-side 晨会 format (typically 7:00-8:30 AM before market open).
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ppt-template-creator
When your agent uses it
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,995 bytesSKILL.mdcore5,995 bytes
Read SKILL.md
# china-ppt-template-creator
## Purpose
Create **A股投资分析PPT模板** — standardized PowerPoint templates for Chinese equity research and client presentations.
## Data Sources
N/A (template creation)
## Workflow
### Step 1: Define Template Requirements
china-pptx-author
When your agent uses it
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,152 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Pipeline
- Presentation Structure
- Design Standards
- Content Rules
- Quality Checklist
- Usage
Scripts executed separately
../../../../scripts/generate_a_share_ppt.py
Files
SKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytes../../../../scripts/generate_a_share_ppt.pyruns38,322 bytes
Read SKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions arechina-roll-forward
When your agent uses it
Roll forward fund accounting records for new reporting periods. Adapts the original roll-forward skill for Chinese fund administration and reporting requirements. Triggers on "基金账务滚动", "账务更新", "roll forward fund", "update fund books", "基金新期间", or "roll forward [fund] [period]".
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **基金账务** — update fund accounting records for new periods.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-sector-overview
When your agent uses it
Comprehensive A-share sector and industry landscape reports — market size, competitive positioning, policy environment, key A-share players, trading multiples, and thematic trends. Adapted from the original sector-overview skill for Chinese market structure and terminology. Triggers on "A股行业分析", "行业研究", "板块分析", "sector overview China", "A-share sector deep dive", "白酒/半导体/新能源 行业分析", or "[industry] landscape China".
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytes
Read SKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比china-skill-creator
When your agent uses it
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Skill Creation Pattern
- Quick-Start Template
- Example: Creating a New Skill
Scripts executed separately
../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/sync-china-skills.py
Files
SKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/sync-china-skills.pyruns3,089 bytes
Read SKILL.md
# china-skill-creator
## Purpose
Create new **china-* skills** — scaffold and template new skills for the China financial services plugin ecosystem.
## When to Use
Use this skill when:
- Creating a new china-* skill from scratch
- Adapting an existing plugins/ skill to China context
- Extending the china/ directory with new capabilities
- Ensuring consistency with existing china-* skill patterns
china-tax-loss-harvesting
When your agent uses it
Tax-loss harvesting strategies for A-share portfolios. Adapts the original tax-loss-harvesting skill for Chinese tax rules, A-share market conventions, and domestic tax treatment. Triggers on "A股税务亏损抵扣", "亏损抵扣", "tax loss harvesting China", "税务优化", "亏损抵扣策略", or "harvest tax losses [portfolio]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,610 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific TLH Considerations
- TLH for Different Client Types
- Quality Checks
Files
SKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytes
Read SKILL.md
# china-tax-loss-harvesting
## Purpose
Implement **A股税务亏损抵扣** — systematic tax-loss harvesting for Chinese investment portfolios.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Cost basis / purchase history
```china-thesis-tracker
When your agent uses it
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
2,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Thesis Considerations
- Quality Checks
Files
SKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytes
Read SKILL.md
# china-thesis-tracker
## Purpose
Track and maintain **A股投资逻辑/thesis** for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current price, valuation
get_historical_data(ticker) → Price trajectory
get_financials(ticker, "income") → Financial performancechina-variance-commentary
When your agent uses it
Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **基金业绩点评** — structured variance commentary on fund performance and portfolio changes.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-xlsx-author
When your agent uses it
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Excel Conventions
- Quality Checks
Files
SKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytes
Read SKILL.md
# china-xlsx-author
## Purpose
Create professional **A股财务分析Excel模型** — structured workbooks for Chinese equity analysis.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Income statement data
get_financials(ticker, "balance") → Balance sheet data
get_financials(ticker, "cashflow") → Cash flow datawind-mcp
When your agent uses it
万得 Wind 金融数据 MCP 技能 — 44 个工具覆盖 A 股/港美股/基金/指数/债券/公告/宏观/分析 8 大服务域
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
2,286 tokensWhen the skill is activated
Reference documents
11,126 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 元数据
- 8 大服务域
- 调用规则
- 完整工具清单
- 启动命令
- 环境变量
- 版本
Scripts executed separately
server.py
Files
SKILL.mdcore7,352 bytesSKILL.mdcore7,352 bytesreferences/error-codes.jsonasset7,187 bytesreferences/fallback-alice.mddoc2,184 bytesreferences/indicators.mddoc12,625 bytesreferences/tool-contracts.mddoc19,116 bytesreferences/tool-manifest.jsonasset1,442 bytesrequirements.txtdoc44 bytesserver.pyruns30,671 bytes
Read SKILL.md
# Wind MCP — 万得金融数据技能
## 元数据
| 项目 | 内容 |
|------|------|
| MCP 服务器 | `wind-mcp` |
| 工具总数 | **44** |
| 服务域 | **8** |
| 传输协议 | stdio (本地) / SSE (部署) |
| API 密钥 | `WIND_API_KEY` 环境变量 (以 `ak_` 开头) |
| 密钥申请 | https://aifinmarket.wind.com.cn/#/home |
[Credential-related source omitted]
| 工具前缀 | `wind_*` (MCP 调用: `mcp__wind__*`) |china-3-statement-model
When your agent uses it
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US 3-Statement Models
- Data Sources
- Workflow
- China-Specific Modeling Conventions
- Excel Formatting (OpenPyXL / Office JS)
- Quality Checks
- Common Pitfalls
- Data Source Priority
- Output Checklist
Files
SKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytesSKILL.mdcore11,434 bytes
Read SKILL.md
# china-3-statement-model
## Purpose
Build institutional-quality three-statement models (Income Statement / Balance Sheet / Cash Flow) for A-share equities, adapted for Chinese Accounting Standards (CAS) and the Chinese market context.
## Key Differences from US 3-Statement Models
| Parameter | US Model | China Model |
|-----------|----------|-------------|
| Accounting standard | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% federal | 25% standard (高新技术企业 15%) |
| Currency | USD | CNY (人民币) |
| Fiscal year | Varied | Mostly Dec 31 year-end |china-accrual-schedule
When your agent uses it
Build accrual schedules for A-share companies tracking revenue recognition, expense accruals, and working capital timing. Adapted from the original accrual-schedule skill for CAS accounting and Chinese business practices. Triggers on "A股应计项目", "应计计提", "accrual schedule China", "应计账款分析", or "working capital accruals [company]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,563 bytesSKILL.mdcore6,563 bytesSKILL.mdcore6,563 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **A股应计项目时间表** — comprehensive accrual schedules for financial analysis and audit preparation.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Revenue, expenses
get_financials(ticker, "balance") → Working capital accounts
```china-audit-xls
When your agent uses it
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytesSKILL.mdcore7,053 bytes
Read SKILL.md
# china-audit-xls
## Purpose
Audit **A股财务模型** — comprehensive quality checks for Chinese equity financial models.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share companies. Identifies discrepancies, potential irregularities, and earnings quality issues in Chinese financial statements. Adapted from the original break-trace skill for CAS accounting and Chinese market red flags. Triggers on "A股财务核查", "财务异常", "forensic analysis China", "财务舞弊", "earnings quality China", or "investigate [company] financials".
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
1,933 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common A-share Fraud Patterns
- Quality Checks
Files
SKILL.mdcore7,454 bytesSKILL.mdcore7,454 bytesSKILL.mdcore7,454 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **A股财务核查** — forensic analysis to identify potential issues in Chinese financial statements.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Revenue, profit trends
get_financials(ticker, "balance") → Balance sheet anomalies
get_financials(ticker, "cashflow") → Cash flow qualitychina-catalyst-calendar
When your agent uses it
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Catalyst Types (A-share Specific)
- Data Sources (Multi-Tier)
- Workflow
- Calendar Format
- China-Specific Considerations
- Integration with Other Skills
- Quality Checks
Files
SKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytesSKILL.mdcore9,766 bytes
Read SKILL.md
# china-catalyst-calendar
## Purpose
Build and maintain a **A股催化剂日历** tracking upcoming events that could materially impact stock prices within a coverage universe.
## Catalyst Types (A-share Specific)
### 1. Earnings & Financial Reports
| Event | Typical Timing | Notes |
|-------|---------------|-------|
| 业绩预告 (earnings preview) | 1-4 weeks before | Mandatory if variance >50% from prior |
| 季报 (quarterly report) | 1 month after quarter-end | 10-day grace period possible |china-clean-data-xls
When your agent uses it
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
2,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Data Issues
- Quality Checks
Files
SKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytesSKILL.mdcore8,022 bytes
Read SKILL.md
# china-clean-data-xls
## Purpose
Clean and normalize **A股财务数据** — prepare raw financial data from 巨潮 filings for modeling and analysis.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-comps
When your agent uses it
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Workflow
- Notes
Files
SKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytesSKILL.mdcore4,641 bytes
Read SKILL.md
# china-comps
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
Use ifind MCP when a valid `IFIND_AUTH_TOKEN` is configured.
```pythonchina-comps-analysis
When your agent uses it
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytesSKILL.mdcore7,163 bytes
Read SKILL.md
# china-comps-analysis
## Purpose
Build **A股可比公司分析** — peer group multiples comparison adapted for the Chinese equity market.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-dcf
When your agent uses it
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Sources (Multi-Tier)
- Key differences from US-market DCF
- Workflow
- Notes
Files
SKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytesSKILL.mdcore3,518 bytes
Read SKILL.md
# china-dcf
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
```python
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstandingchina-dcf-model
When your agent uses it
Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Quick Reference
- Quality Checks
Files
SKILL.mdcore2,310 bytes
Read SKILL.md
# china-dcf-model
> **Note:** This skill is an alias/wrapper for `china-dcf`. For full DCF modeling guidance, see `china-dcf/SKILL.md`.
## Purpose
Provide access to **A股DCF估值** — discounted cash flow valuation adapted for Chinese market parameters.
## Quick Reference
### Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|-----------|--------------|--------|china-deal-screening
When your agent uses it
Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,723 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Screening Templates
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytesSKILL.mdcore6,085 bytes
Read SKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screeningchina-deck-refresh
When your agent uses it
Refresh and update existing A-share investment presentation decks with latest data. Adapts the original deck-refresh skill for Chinese presentations, A-share data updates, and domestic market conventions. Triggers on "更新PPT", "刷新演示", "refresh deck China", "update presentation", "更新演示文稿", or "refresh slides [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- Common Update Scenarios
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytesSKILL.mdcore6,590 bytes
Read SKILL.md
# china-deck-refresh
## Purpose
Refresh **A股投资分析PPT** — update existing presentation decks with latest financial data and market information.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Latest stock price
get_financials(ticker, "income") → Latest financials
get_index_data("000001") → Market contextchina-earnings-analysis
When your agent uses it
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Key Financial Terms (Chinese → English)
- Workflow
- China-Specific Elements
- Source Citations
Files
SKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytesSKILL.mdcore8,489 bytes
Read SKILL.md
# china-earnings-analysis
## Purpose
Create professional **A股季度/年度业绩点评报告**, analyzing results for companies already under coverage. Follow Chinese sell-side research standards (中金、中信、华泰 format).
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → 利润表 (季度)
get_financials(ticker, "income", "annual") → 利润表 (年度)
get_financials(ticker, "balance", "quarterly") → 资产负债表china-earnings-preview
When your agent uses it
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
2,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pre-Earnings Considerations
- Quality Checks
Files
SKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytesSKILL.mdcore8,167 bytes
Read SKILL.md
# china-earnings-preview
## Purpose
Build **A股季报/年报前瞻分析**, preparing for company earnings releases with scenario frameworks and key metrics to watch.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation, PE/PB
get_historical_data(ticker) → Trading context, 52-wk range
get_financials(ticker, "income", "annual") → Historical revenue/EPS trendschina-gl-recon
When your agent uses it
General ledger reconciliation for A-share companies. Adapts the original gl-recon skill for Chinese accounting standards, chart of accounts, and common reconciliation items. Triggers on "A股总账核对", "总账调节", "GL reconciliation China", "科目余额表", or "reconcile [company] accounts".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,875 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Recon Considerations
- Quality Checks
Files
SKILL.mdcore6,757 bytesSKILL.mdcore6,757 bytesSKILL.mdcore6,757 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **A股总账核对** — comprehensive general ledger reconciliation for Chinese companies.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "balance") → Balance sheet accounts
get_financials(ticker, "income") → P&L accounts
```china-ib-check-deck
When your agent uses it
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,806 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific QC Considerations
- Quality Checks
Files
SKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytesSKILL.mdcore6,979 bytes
Read SKILL.md
# china-ib-check-deck
## Purpose
Quality-check **A股投行材料** — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verificationchina-idea-generation
When your agent uses it
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Screening Considerations
- Quality Checks
Files
SKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytesSKILL.mdcore9,335 bytes
Read SKILL.md
# china-idea-generation
## Purpose
Systematically surface new **A股投资机会** through quantitative screens, thematic analysis, and pattern recognition.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentumchina-initiating-coverage
When your agent uses it
Institutional-quality equity research initiation reports for A-share companies. Covers company analysis, financial modeling, valuation, chart preparation, and final report assembly. Adapted from the original initiating-coverage skill for Chinese market conventions, CAS accounting, and AkShare data sources. Triggers on "A股首次覆盖", "首次评级", "initiate coverage China", "initiate on [company]", "A股研究报告", or "start research on [company]".
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
2,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytesSKILL.mdcore8,080 bytes
Read SKILL.md
# china-initiating-coverage
## Purpose
Create institutional-quality **A股首次覆盖研究报告**, following Chinese sell-side research standards.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading historychina-lbo-model
When your agent uses it
Leveraged buyout model for A-share and China-market LBO scenarios. Adapts the standard LBO-model methodology for Chinese debt markets, CAS accounting, and AkShare data. Use instead of the original lbo-model skill when analyzing leveraged buyouts involving Chinese targets or China-based sponsors.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US LBO Models
- Data Sources
- Workflow
- China-Specific Considerations
- Excel Model Structure
- Output Checklist
- Reference
Files
SKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytesSKILL.mdcore9,266 bytes
Read SKILL.md
# china-lbo-model
## Purpose
Build institutional-quality LBO models for transactions in the China market, accounting for:
- Chinese debt market structures (bank loans, 公司债, 中期票据)
- CAS accounting standards
- A-share trading restrictions and considerations
- China-specific tax treatment
## Key Differences from US LBO Models
| Parameter | US LBO | China LBO |
|-----------|--------|-----------|china-market-data
When your agent uses it
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data sources (multi-tier)
- iFind MCP tools（`mcp__ifind__*`）
- AkShare MCP tools（`mcp__akshare__*`）
- Workflow
- Note on data coverage
Files
SKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytesSKILL.mdcore9,382 bytes
Read SKILL.md
# china-market-data
## Data sources (multi-tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
### Tier 1 — 同花顺 iFind（付费精确数据）
- 覆盖：股票、基金、宏观经济、新闻公告、债券、港美股、指数板块
- MCP 服务：`ifind-mcp`（需 `IFIND_AUTH_TOKEN` 密钥）
- 优势：精确财务数据、一致预期、ESG评级、债券详情、港美股、宏观行业指标china-model-update
When your agent uses it
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Update Considerations
- Quality Checks
Files
SKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytesSKILL.mdcore6,932 bytes
Read SKILL.md
# china-model-update
## Purpose
Update existing **A股财务模型** with new data, ensuring all cells are traceable to sources and all changes are documented.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income", "quarterly") → Q[X] actual results
get_financials(ticker, "balance", "quarterly") → BS update
get_financials(ticker, "cashflow", "quarterly") → CF updatechina-morning-note
When your agent uses it
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources (Multi-Tier)
- Data Sources (Legacy)
- Workflow
- China-Specific Morning Context
- Quality Checks
Files
SKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytesSKILL.mdcore7,022 bytes
Read SKILL.md
# china-morning-note
## Purpose
Draft concise **A股晨会纪要/每日策略**, summarizing overnight developments and pre-market sentiment for the Chinese equity market. Designed for the typical Chinese sell-side 晨会 format (typically 7:00-8:30 AM before market open).
## Data Sources (Multi-Tier)
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ppt-template-creator
When your agent uses it
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,995 bytesSKILL.mdcore5,995 bytes
Read SKILL.md
# china-ppt-template-creator
## Purpose
Create **A股投资分析PPT模板** — standardized PowerPoint templates for Chinese equity research and client presentations.
## Data Sources
N/A (template creation)
## Workflow
### Step 1: Define Template Requirements
china-pptx-author
When your agent uses it
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,152 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Pipeline
- Presentation Structure
- Design Standards
- Content Rules
- Quality Checklist
- Usage
Scripts executed separately
../../../../scripts/generate_a_share_ppt.py
Files
../../../../scripts/generate_a_share_ppt.pyruns38,322 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytesSKILL.mdcore8,021 bytes
Read SKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions arechina-roll-forward
When your agent uses it
Roll forward A-share financial models for new periods. Adapts the original roll-forward skill for Chinese financial statements, CAS conventions, and A-share reporting calendars. Triggers on "A股模型滚动", "模型更新", "roll forward model China", "roll forward", "更新财务模型", or "project [company] [period]".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,488 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Roll-Forward Considerations
- Quality Checks
Files
SKILL.mdcore5,581 bytesSKILL.mdcore5,581 bytesSKILL.mdcore5,581 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **A股财务模型** — update financial models for new reporting periods.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Latest actuals
get_financials(ticker, "balance") → Latest BS
get_financials(ticker, "cashflow") → Latest CFchina-sector-overview
When your agent uses it
Comprehensive A-share sector and industry landscape reports — market size, competitive positioning, policy environment, key A-share players, trading multiples, and thematic trends. Adapted from the original sector-overview skill for Chinese market structure and terminology. Triggers on "A股行业分析", "行业研究", "板块分析", "sector overview China", "A-share sector deep dive", "白酒/半导体/新能源 行业分析", or "[industry] landscape China".
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytesSKILL.mdcore9,372 bytes
Read SKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比china-skill-creator
When your agent uses it
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Skill Creation Pattern
- Quick-Start Template
- Example: Creating a New Skill
Scripts executed separately
../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/check-china.py../../../../scripts/sync-china-skills.py
Files
../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/check-china.pyruns14,166 bytes../../../../scripts/sync-china-skills.pyruns3,089 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytesSKILL.mdcore8,986 bytes
Read SKILL.md
# china-skill-creator
## Purpose
Create new **china-* skills** — scaffold and template new skills for the China financial services plugin ecosystem.
## When to Use
Use this skill when:
- Creating a new china-* skill from scratch
- Adapting an existing plugins/ skill to China context
- Extending the china/ directory with new capabilities
- Ensuring consistency with existing china-* skill patterns
china-tax-loss-harvesting
When your agent uses it
Tax-loss harvesting strategies for A-share portfolios. Adapts the original tax-loss-harvesting skill for Chinese tax rules, A-share market conventions, and domestic tax treatment. Triggers on "A股税务亏损抵扣", "亏损抵扣", "tax loss harvesting China", "税务优化", "亏损抵扣策略", or "harvest tax losses [portfolio]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,610 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific TLH Considerations
- TLH for Different Client Types
- Quality Checks
Files
SKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytesSKILL.mdcore6,792 bytes
Read SKILL.md
# china-tax-loss-harvesting
## Purpose
Implement **A股税务亏损抵扣** — systematic tax-loss harvesting for Chinese investment portfolios.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Cost basis / purchase history
```china-thesis-tracker
When your agent uses it
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
2,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Thesis Considerations
- Quality Checks
Files
SKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytesSKILL.mdcore8,034 bytes
Read SKILL.md
# china-thesis-tracker
## Purpose
Track and maintain **A股投资逻辑/thesis** for portfolio positions and watchlist names, ensuring thesis validity is continuously monitored.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current price, valuation
get_historical_data(ticker) → Price trajectory
get_financials(ticker, "income") → Financial performancechina-variance-commentary
When your agent uses it
Write variance commentary for A-share financial results. Adapts the original variance-commentary skill for Chinese financial statements, CAS conventions, and Chinese business terminology. Triggers on "A股业绩点评", "财报点评", "variance commentary China", "业绩分析", "variances [company]", or "commentary on [company] results".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
1,905 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Commentary Considerations
- Quality Checks
Files
SKILL.mdcore6,816 bytesSKILL.mdcore6,816 bytesSKILL.mdcore6,816 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **A股业绩点评** — structured variance commentary on Chinese company financial results.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Revenue, profit data
get_financials(ticker, "balance") → Balance sheet data
get_quote(ticker) → Market contextchina-xlsx-author
When your agent uses it
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Excel Conventions
- Quality Checks
Files
SKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytesSKILL.mdcore7,502 bytes
Read SKILL.md
# china-xlsx-author
## Purpose
Create professional **A股财务分析Excel模型** — structured workbooks for Chinese equity analysis.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_financials(ticker, "income") → Income statement data
get_financials(ticker, "balance") → Balance sheet data
get_financials(ticker, "cashflow") → Cash flow datachina-accrual-schedule
When your agent uses it
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytesSKILL.mdcore5,799 bytes
Read SKILL.md
# china-accrual-schedule
## Purpose
Build **基金应计项目时间表** — comprehensive accrual tracking for fund accounting and NAV calculation.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-break-trace
When your agent uses it
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytesSKILL.mdcore5,370 bytes
Read SKILL.md
# china-break-trace
## Purpose
Conduct **基金持仓核查** — forensic analysis of fund holdings and portfolio company financials for fund administrators.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-gl-recon
When your agent uses it
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytesSKILL.mdcore5,982 bytes
Read SKILL.md
# china-gl-recon
## Purpose
Perform **基金总账核对** — comprehensive general ledger reconciliation for fund accounting.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-nav-tieout
When your agent uses it
Net asset value (NAV) reconciliation and tie-out for Chinese funds and investment portfolios. Adapts the original nav-tieout skill for A-share holdings, Chinese fund accounting standards, and domestic custody arrangements. Triggers on "A股净值核对", "NAV计算", "NAV tie-out China", "基金净值", "net asset value [fund]", or "portfolio valuation [date]".
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,978 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,005 bytesSKILL.mdcore7,005 bytesSKILL.mdcore7,005 bytes
Read SKILL.md
# china-nav-tieout
## Purpose
Perform **A股投资组合净值核算** — comprehensive NAV reconciliation and valuation for Chinese investment portfolios.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-roll-forward
When your agent uses it
Roll forward fund accounting records for new reporting periods. Adapts the original roll-forward skill for Chinese fund administration and reporting requirements. Triggers on "基金账务滚动", "账务更新", "roll forward fund", "update fund books", "基金新期间", or "roll forward [fund] [period]".
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytesSKILL.mdcore5,089 bytes
Read SKILL.md
# china-roll-forward
## Purpose
Roll forward **基金账务** — update fund accounting records for new periods.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-variance-commentary
When your agent uses it
Write variance commentary for A-share fund performance and portfolio changes. Adapts the original variance-commentary skill for fund accounting and Chinese fund reporting conventions. Triggers on "基金业绩点评", "组合表现分析", "variance commentary fund", "基金表现分析", "业绩归因", or "commentary on [fund] performance".
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytesSKILL.mdcore5,392 bytes
Read SKILL.md
# china-variance-commentary
## Purpose
Write professional **基金业绩点评** — structured variance commentary on fund performance and portfolio changes.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-buyer-list
When your agent uses it
Build a list of potential strategic and financial acquirers for A-share sell-side M&A mandates. Adapted from the original buyer-list skill for Chinese market acquirer universe. Triggers on "A股买方名单", "潜在收购方", "buyer list China", "strategic buyers China", "who would buy this A-share company", or "build buyer universe".
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,761 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,105 bytesSKILL.mdcore7,105 bytesSKILL.mdcore7,105 bytes
Read SKILL.md
# china-buyer-list
## Purpose
Build **A股潜在收购方名单**, identifying both strategic and financial buyers for a sell-side M&A mandate.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-cim-builder
When your agent uses it
Structure and draft Confidential Information Memorandums (CIMs) for A-share sell-side M&A processes. Organizes company information into professional, investor-ready documents with Chinese market context. Triggers on "A股CIM", "保密信息备忘录", "CIM China", "confidential memorandum A-share", or "offering memorandum [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,708 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,750 bytesSKILL.mdcore6,750 bytesSKILL.mdcore6,750 bytes
Read SKILL.md
# china-cim-builder
## Purpose
Draft **A股并购CIM (Confidential Information Memorandum)** for sell-side M&A processes — comprehensive, confidential company overviews for potential buyers.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-competitive-analysis
When your agent uses it
Competitive landscape analysis for A-share companies and Chinese industries. Maps competitors, compares positioning, and assesses relative strengths. Adapted from the original competitive-analysis skill for Chinese market context. Triggers on "A股竞争格局", "行业竞争分析", "competitive landscape China", "competitive analysis A-share", or "[company] competitors China".
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,849 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Output Format
- Quality Checks
Files
SKILL.mdcore7,052 bytesSKILL.mdcore7,052 bytesSKILL.mdcore7,052 bytesSKILL.mdcore7,052 bytes
Read SKILL.md
# china-competitive-analysis
## Purpose
Analyze **A股行业竞争格局**, mapping competitive dynamics for Chinese companies and industries.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-datapack-builder
When your agent uses it
Build professional data packs for A-share investment banking deals — M&A due diligence, IC materials, company profiles. Adapted from the original datapack-builder skill for Chinese data sources (AkShare, 巨潮, exchange filings) and CAS accounting. Triggers on "A股数据包", "投行数据包", "datapack China", "due diligence pack A-share", or "IC data pack [company]".
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,931 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,742 bytesSKILL.mdcore7,742 bytesSKILL.mdcore7,742 bytesSKILL.mdcore7,742 bytes
Read SKILL.md
# china-datapack-builder
## Purpose
Build professional **A股投行数据包 (Data Pack)** for investment banking workflows — M&A due diligence, IC review, deal execution.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-deal-tracker
When your agent uses it
Track A-share sell-side M&A and deal pipeline with milestones, deadlines, and action items. Adapted from the original deal-tracker skill for Chinese market deal processes. Triggers on "A股交易跟踪", "并购进度", "deal tracker China", "M&A pipeline A-share", or "track progress on [deal]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,373 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore4,937 bytes
Read SKILL.md
# china-deal-tracker
## Purpose
Track **A股投行交易/并购进度** with structured milestone tracking, deadline management, and action item follow-up.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-merger-model
When your agent uses it
Accretion/dilution and merger consequences analysis for A-share M&A transactions. Adapted from the original merger-model skill for Chinese GAAP, CAS accounting, and China market transaction structures. Triggers on "A股并购分析", "并购模型", "accretion dilution China", "merger model A-share", or "M&A consequences [company]".
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,985 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Differences from US Merger Models
- Data Sources
- Workflow
- Quality Checks
Files
SKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytes
Read SKILL.md
# china-merger-model
## Purpose
Build **A股并购分析模型**, analyzing accretion/dilution, synergy capture, and purchase price allocation for M&A transactions involving Chinese companies.
## Key Differences from US Merger Models
| Parameter | US M&A Model | China M&A Model |
|-----------|-------------|-----------------|
| Accounting | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% | 25% (or 15% for 高新技术企业) |
| Currency | USD | CNY |
| Goodwill | Indefinite life | Amortized or tested under CAS |china-pitch-deck
When your agent uses it
Populate A-share investment banking pitch deck templates with data from source files. Adapted from the original pitch-deck skill for Chinese companies, A-share market data, and Chinese business context. Triggers on "A股Pitch Deck", "路演PPT", "pitch deck China", "pitch deck A-share", or "fill pitch template for [company]".
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Pitch Considerations
- Quality Checks
Files
SKILL.mdcore7,241 bytesSKILL.mdcore7,241 bytesSKILL.mdcore7,241 bytesSKILL.mdcore7,241 bytesSKILL.mdcore7,241 bytes
Read SKILL.md
# china-pitch-deck
## Purpose
Populate **A股投行 Pitch Deck / 路演材料** templates with financial data, charts, and narrative for Chinese target companies.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-process-letter
When your agent uses it
Draft process letters and bid instructions for A-share sell-side M&A processes. Covers indication of interest (IOI) instructions, final bid procedures, and management meeting logistics adapted for Chinese market conventions. Triggers on "A股流程函", "投标函", "process letter China", "bid instructions A-share", or "IOI instructions [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,911 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Transaction Types
- Workflow
- China-Specific Process Considerations
- Quality Checks
Files
SKILL.mdcore6,761 bytes
Read SKILL.md
# china-process-letter
## Purpose
Draft **A股并购流程函/投标函** for sell-side M&A processes — bid instructions, IOI guidelines, and process correspondence.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-strip-profile
When your agent uses it
Create one-page company profile slides (strip profiles) for A-share targets in pitch books and deal materials. Adapted from the original strip-profile skill for Chinese companies, A-share market data, and Chinese business terminology. Triggers on "A股公司简介", "公司概况", "strip profile China", "one-pager A-share", or "target profile for [company]".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,634 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
Files
SKILL.mdcore6,219 bytesSKILL.mdcore6,219 bytesSKILL.mdcore6,219 bytes
Read SKILL.md
# china-strip-profile
## Purpose
Create professional **A股目标公司简介/Strip Profile** slides for pitch books and deal materials.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-teaser
When your agent uses it
Draft anonymous one-page company teasers for A-share sell-side M&A processes. Creates compelling blind profiles without revealing the company's identity, adapted for Chinese market conventions. Triggers on "A股Teaser", "盲审材料", "blind profile China", "anonymous teaser A-share", or "sell-side teaser".
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
1,749 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,578 bytesSKILL.mdcore7,578 bytesSKILL.mdcore7,578 bytes
Read SKILL.md
# china-teaser
## Purpose
Draft **A股并购盲审Teaser / teaser** for sell-side M&A processes — anonymous one-page profiles designed to gauge buyer interest before NDA execution.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-kyc-doc-parse
When your agent uses it
Parse and extract data from Chinese identity documents for KYC (Know Your Customer) compliance. Adapts the original kyc-doc-parse skill for Chinese ID cards, business licenses, and domestic compliance requirements. Triggers on "A股KYC", "身份文件解析", "parse Chinese ID", "KYC document", "客户身份识别", or "extract [document type]".
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,969 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Document Types
- Parsing Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,206 bytesSKILL.mdcore7,206 bytesSKILL.mdcore7,206 bytes
Read SKILL.md
# china-kyc-doc-parse
## Purpose
Parse **中国身份文件** — extract and verify data from Chinese KYC documents.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-kyc-rules
When your agent uses it
Chinese KYC (Know Your Customer) and AML (Anti-Money Laundering) rules for financial services. Adapts the original kyc-rules skill for Chinese regulatory requirements and domestic compliance. Triggers on "A股KYC规则", "中国反洗钱", "AML rules China", "KYC compliance China", "反洗钱规定", or "KYC requirements".
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,810 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Regulatory Framework
- Customer Identification
- Transaction Monitoring
- A-share Specific Requirements
- Sanctions & Restrictions
- Quality Checks
Files
SKILL.mdcore6,965 bytesSKILL.mdcore6,965 bytesSKILL.mdcore6,965 bytes
Read SKILL.md
# china-kyc-rules
## Purpose
Define **中国KYC与反洗钱规则** — comprehensive KYC/AML requirements for Chinese financial services.
## Data Sources
### Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：`wind-mcp`（需 `WIND_API_KEY` 密钥，以 `ak_` 开头）
- 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
china-ai-readiness
When your agent uses it
Assess an A-share portfolio company's AI readiness for China-focused private equity investments. Evaluates data infrastructure, technology stack, talent, and AI adoption opportunities in the Chinese market context. Triggers on "A股公司AI评估", "AI readiness China", "AI assessment portfolio company", "AI转型评估", or "artificial intelligence readiness [company]".
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,659 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific AI Context
- Quality Checks
Files
SKILL.mdcore7,087 bytesSKILL.mdcore7,087 bytesSKILL.mdcore7,087 bytes
Read SKILL.md
# china-ai-readiness
## Purpose
Evaluate **A股被投企业AI就绪度** — assessing portfolio companies' preparedness for AI adoption and transformation in the Chinese market context.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Company valuation context
get_financials(ticker, "income") → Revenue scale, R&D spend
get_stock_info(ticker) → Business descriptionchina-dd-checklist
When your agent uses it
Due diligence checklists for A-share investments and M&A transactions. Adapted from the original dd-checklist skill for Chinese market due diligence requirements, regulatory filings, and business practices. Triggers on "A股尽调清单", "尽调清单", "due diligence China", "DD checklist A-share", "尽调checklist [company]", or "due diligence questions [company]".
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,700 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- DD Categories
- China-Specific DD Considerations
- Quality Checks
Files
SKILL.mdcore7,070 bytes
Read SKILL.md
# china-dd-checklist
## Purpose
Provide comprehensive **A股及中国市场尽调清单** — structured checklists for investment and M&A due diligence.
## DD Categories
### 1. 商业尽调 (Commercial DD)
**Industry & Market:**
- [ ] Market size and growth trajectory
- [ ] Competitive landscape (5-10 peers mapped)
- [ ] Market share trendschina-dd-meeting-prep
When your agent uses it
Prepare management meeting materials and question lists for A-share investment due diligence. Adapted from the original dd-meeting-prep skill for Chinese business culture and management meeting conventions. Triggers on "A股尽调会议准备", "管理层会议准备", "management meeting China", "DD meeting prep", "管理層访谈准备", or "prepare for management meeting [company]".
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,939 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Meeting Considerations
- Quality Checks
Files
SKILL.mdcore7,549 bytesSKILL.mdcore7,549 bytesSKILL.mdcore7,549 bytes
Read SKILL.md
# china-dd-meeting-prep
## Purpose
Prepare for **A股投资尽调管理层会议** — structured meeting preparation with question lists and material review.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_stock_info(ticker) → Company overview
get_quote(ticker) → Valuation context
get_financials(ticker, "income") → Financial performancechina-deal-sourcing
When your agent uses it
Discover and evaluate potential A-share investment opportunities for China-focused private equity and investment strategies. Adapted from the original deal-sourcing skill for Chinese market structure, data sources, and business practices. Triggers on "A股项目挖掘", "投资项目发现", "deal sourcing China", "find A-share deals", "sourcing opportunities China", or "discover investment targets".
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,739 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Sourcing Considerations
- Quality Checks
Files
SKILL.mdcore6,960 bytesSKILL.mdcore6,960 bytesSKILL.mdcore6,960 bytesSKILL.mdcore6,960 bytes
Read SKILL.md
# china-deal-sourcing
## Purpose
Identify and evaluate **A股及中国市场投资机会** — both listed and pre-IPO opportunities for China-focused investment strategies.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_market_overview() → Market movers
get_industry_stocks(industry="...") → Industry peer lists
get_quote(ticker) → Valuation snapshotchina-ic-memo
When your agent uses it
Investment Committee memo drafting for China-focused PE/IB deals. Adapted from the original ic-memo skill for Chinese market context, terminology, and decision frameworks. Triggers on "A股投委会", "IC Memo", "investment memo China", "投委会材料", "IC memo A-share", or "committee memo [company]".
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,953 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore7,299 bytesSKILL.mdcore7,299 bytesSKILL.mdcore7,299 bytes
Read SKILL.md
# china-ic-memo
## Purpose
Draft **A股投资委员会备忘录 (IC Memo)** — structured decision documents for investment committee reviews.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Valuation context
get_financials(ticker, "income") → Financials
get_industry_stocks(industry="...") → Peer comparableschina-portfolio-monitoring
When your agent uses it
Track and report on A-share portfolio company performance for China-focused private equity funds. Monitors KPIs, financials, and strategic milestones. Adapted from the original portfolio-monitoring skill for Chinese portfolio companies. Triggers on "A股投后管理", "基金投后监控", "portfolio monitoring China", "monitor portfolio company", "投后报告", or "portfolio company review".
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,796 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Monitoring Considerations
- Quality Checks
Files
SKILL.mdcore6,799 bytesSKILL.mdcore6,799 bytesSKILL.mdcore6,799 bytes
Read SKILL.md
# china-portfolio-monitoring
## Purpose
Monitor **A股及中国市场投资组合公司表现** — financial performance, operational KPIs, strategic milestones, and risk indicators.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Stock performance
get_historical_data(ticker) → Price trend
get_financials(ticker, "income") → Revenue, profitchina-returns-analysis
When your agent uses it
IRR and MOIC analysis for China-focused private equity and investment funds. Adapted from the original returns-analysis skill for RMB/USD fund structures, China market conventions, and Chinese portfolio companies. Triggers on "A股基金回报", "IRR分析", "returns China", "MOIC analysis China", "基金业绩分析", or "portfolio returns review".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,751 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Metrics
- Data Sources (Multi-Tier)
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,150 bytesSKILL.mdcore6,150 bytes
Read SKILL.md
# china-returns-analysis
## Purpose
Analyze and report on **中国私募基金回报表现** using IRR, MOIC, and related metrics.
## Key Metrics
### Core Metrics (Same as Global)
| Metric | Formula | Benchmark |
|--------|---------|-----------|
| IRR (Internal Rate of Return) | Discounted cash flow rate | 15-20%+ for top China PE |
| MOIC (Multiple on Invested Capital) | Total returned / Total invested | 2.0-3.0x typical |china-unit-economics
When your agent uses it
Unit economics analysis for China-focused portfolio companies. Adapted from the original unit-economics skill for Chinese business models, pricing, and market dynamics. Triggers on "A股单位经济模型", "单元经济模型", "unit economics China", "unit economics [company]", "LTV/CAC China", or "Cohort analysis [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,912 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Metrics
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore6,799 bytesSKILL.mdcore6,799 bytesSKILL.mdcore6,799 bytesSKILL.mdcore6,799 bytes
Read SKILL.md
# china-unit-economics
## Purpose
Analyze **A股及中国市场单元经济模型** — per-unit economics, customer economics, and cohort analysis for portfolio companies.
## Key Metrics
### Core Framework (Same as Global)
| Metric | Formula | Target |
|--------|---------|--------|
| LTV (Customer Lifetime Value) | ARPU × Lifetime × Gross Margin | >3x CAC |
| CAC (Customer Acquisition Cost) | Sales & Marketing / New Customers | <12-month payback |china-value-creation-plan
When your agent uses it
Post-close value creation plans for China-focused portfolio companies. Adapted from the original value-creation-plan skill for Chinese business context, management practices, and market dynamics. Triggers on "A股投后增值", "价值提升计划", "value creation plan China", "100-day plan China", "portfolio value creation", or "value creation [company]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Value Creation
- Quality Checks
Files
SKILL.mdcore6,836 bytesSKILL.mdcore6,836 bytesSKILL.mdcore6,836 bytes
Read SKILL.md
# china-value-creation-plan
## Purpose
Develop **A股投后价值提升计划** — structured value creation roadmaps for China-focused portfolio companies.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current valuation
get_financials(ticker, "income") → Financial baseline
get_industry_stocks(industry="...") → Peer benchmarkschina-client-report
When your agent uses it
Generate client-facing performance reports for Chinese wealth management clients. Adapted from the original client-report skill for A-share portfolios, Chinese regulatory requirements, and local reporting conventions. Triggers on "A股客户报告", "客户持仓报告", "client report China", "wealth report A-share", "客户业绩报告", or "portfolio report for [client]".
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
1,451 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,481 bytesSKILL.mdcore5,481 bytesSKILL.mdcore5,481 bytes
Read SKILL.md
# china-client-report
## Purpose
Create professional **A股财富管理客户报告** — performance reports for Chinese wealth management clients.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_index_data("000001") → 上证指数 benchmark
get_index_data("399006") → 创业板指 benchmark
get_index_data("000300") → 沪深300 benchmarkchina-client-review
When your agent uses it
Prepare for Chinese wealth management client meetings with performance summaries, talking points, and relationship context. Adapted from the original client-review skill for A-share portfolios and Chinese client conventions. Triggers on "A股客户回顾", "客户会议准备", "client review China", "wealth client review", "客户回访准备", or "prepare for client meeting [client]".
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,525 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore5,823 bytesSKILL.mdcore5,823 bytesSKILL.mdcore5,823 bytes
Read SKILL.md
# china-client-review
## Purpose
Prepare comprehensive **A股财富管理客户会议材料** — performance summaries, talking points, and relationship context for client meetings.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_index_data("000001") → 上证 benchmark
get_index_data("399006") → 创业板 benchmark
get_index_data("000300") → 沪深300 benchmarkchina-financial-plan
When your agent uses it
Create financial plans for Chinese wealth management clients covering retirement, education, estate, and cash-flow planning. Adapted from the original financial-plan skill for Chinese tax rules, social security, and local financial products. Triggers on "A股财务规划", "理财规划", "financial plan China", "retirement plan China", "财务规划客户", "退休规划", "教育金规划", or "comprehensive financial plan".
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
2,276 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,182 bytesSKILL.mdcore8,182 bytesSKILL.mdcore8,182 bytes
Read SKILL.md
# china-financial-plan
## Purpose
Create comprehensive **中国家庭/个人财务规划** — retirement, education, estate, and cash-flow planning adapted for Chinese context.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_index_data("000001") → A股 historical returns
get_fund_data(fund_code) → Fund performance data
```china-investment-proposal
When your agent uses it
Draft investment proposals for Chinese wealth management clients. Creates structured proposals with investment rationale, product recommendations, and risk disclosures. Adapted from the original investment-proposal skill for A-share products and Chinese regulatory requirements. Triggers on "A股投资建议书", "投资方案", "investment proposal China", "proposal for [client]", "investment recommendation A-share", or "build investment proposal".
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
2,148 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Considerations
- Quality Checks
Files
SKILL.mdcore8,056 bytesSKILL.mdcore8,056 bytesSKILL.mdcore8,056 bytes
Read SKILL.md
# china-investment-proposal
## Purpose
Create professional **A股财富管理投资建议书** — structured proposals for Chinese wealth management clients.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_index_data("000001") → Market context
get_index_data("399006") → ChiNext context
get_quote(ticker) → Security analysischina-portfolio-rebalance
When your agent uses it
Portfolio rebalancing analysis for A-share wealth management portfolios. Analyzes allocation drift, generates rebalancing trades, and optimizes for tax efficiency. Adapted from the original portfolio-rebalance skill for Chinese portfolios. Triggers on "A股组合再平衡", "调仓", "rebalance China", "portfolio rebalance A-share", "rebalance portfolio", or "adjust allocation [client]".
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
1,471 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Data Sources
- Workflow
- China-Specific Rebalancing Considerations
- Quality Checks
Files
SKILL.mdcore5,751 bytesSKILL.mdcore5,751 bytesSKILL.mdcore5,751 bytes
Read SKILL.md
# china-portfolio-rebalance
## Purpose
Perform **A股投资组合再平衡** — analyze allocation drift, generate rebalancing recommendations, and optimize trade execution.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_quote(ticker) → Current prices for holdings
get_historical_data(ticker) → Tax lot / cost basis context
```Skills included
- china-3-statement-model
- china-accrual-schedule
- china-audit-xls
- china-break-trace
- china-catalyst-calendar
- china-clean-data-xls
- china-comps
- china-comps-analysis
- china-dcf
- china-dcf-model
- china-deal-screening
- china-deck-refresh
- china-earnings-analysis
- china-earnings-preview
- china-gl-recon
- china-ib-check-deck
- china-idea-generation
- china-initiating-coverage
- china-lbo-model
- china-market-data
- china-model-update
- china-morning-note
- china-ppt-template-creator
- china-pptx-author
- china-roll-forward
- china-sector-overview
- china-skill-creator
- china-tax-loss-harvesting
- china-thesis-tracker
- china-variance-commentary
- china-xlsx-author
- china-3-statement-model
- china-accrual-schedule
- china-audit-xls
- china-break-trace
- china-catalyst-calendar
- china-clean-data-xls
- china-comps
- china-comps-analysis
- china-dcf
- china-dcf-model
- china-deal-screening
- china-deck-refresh
- china-earnings-analysis
- china-earnings-preview
- china-gl-recon
- china-ib-check-deck
- china-idea-generation
- china-initiating-coverage
- china-lbo-model
- china-market-data
- china-model-update
- china-morning-note
- china-ppt-template-creator
- china-pptx-author
- china-roll-forward
- china-sector-overview
- china-skill-creator
- china-tax-loss-harvesting
- china-thesis-tracker
- china-variance-commentary
- china-xlsx-author
- china-3-statement-model
- china-accrual-schedule
- china-audit-xls
- china-break-trace
- china-catalyst-calendar
- china-clean-data-xls
- china-comps
- china-comps-analysis
- china-dcf
- china-dcf-model
- china-deal-screening
- china-deck-refresh
- china-earnings-analysis
- china-earnings-preview
- china-gl-recon
- china-ib-check-deck
- china-idea-generation
- china-initiating-coverage
- china-lbo-model
- china-market-data
- china-model-update
- china-morning-note
- china-ppt-template-creator
- china-pptx-author
- china-roll-forward
- china-sector-overview
- china-skill-creator
- china-tax-loss-harvesting
- china-thesis-tracker
- china-variance-commentary
- china-xlsx-author
- china-3-statement-model
- china-accrual-schedule
- china-audit-xls
- china-break-trace
- china-catalyst-calendar
- china-clean-data-xls
- china-comps
- china-comps-analysis
- china-dcf
- china-dcf-model
- china-deal-screening
- china-deck-refresh
- china-earnings-analysis
- china-earnings-preview
- china-gl-recon
- china-ib-check-deck
- china-idea-generation
- china-initiating-coverage
- china-lbo-model
- china-market-data
- china-model-update
- china-morning-note
- china-ppt-template-creator
- china-pptx-author
- china-roll-forward
- china-sector-overview
- china-skill-creator
- china-tax-loss-harvesting
- china-thesis-tracker
- china-variance-commentary
- china-xlsx-author
- wind-mcp
- china-3-statement-model
- china-accrual-schedule
- china-audit-xls
- china-break-trace
- china-catalyst-calendar
- china-clean-data-xls
- china-comps
- china-comps-analysis
- china-dcf
- china-dcf-model
- china-deal-screening
- china-deck-refresh
- china-earnings-analysis
- china-earnings-preview
- china-gl-recon
- china-ib-check-deck
- china-idea-generation
- china-initiating-coverage
- china-lbo-model
- china-market-data
- china-model-update
- china-morning-note
- china-ppt-template-creator
- china-pptx-author
- china-roll-forward
- china-sector-overview
- china-skill-creator
- china-tax-loss-harvesting
- china-thesis-tracker
- china-variance-commentary
- china-xlsx-author
- china-accrual-schedule
- china-break-trace
- china-gl-recon
- china-nav-tieout
- china-roll-forward
- china-variance-commentary
- china-buyer-list
- china-cim-builder
- china-competitive-analysis
- china-datapack-builder
- china-deal-tracker
- china-merger-model
- china-pitch-deck
- china-process-letter
- china-strip-profile
- china-teaser
- china-kyc-doc-parse
- china-kyc-rules
- china-ai-readiness
- china-dd-checklist
- china-dd-meeting-prep
- china-deal-sourcing
- china-ic-memo
- china-portfolio-monitoring
- china-returns-analysis
- china-unit-economics
- china-value-creation-plan
- china-client-report
- china-client-review
- china-financial-plan
- china-investment-proposal
- china-portfolio-rebalance
Repository facts
- License
- Apache-2.0
- Created
- Jun 7, 2026
- Last pushed
- Sep 14, 2026
- Forks
- 140
- Open issues
- 3
- Project activity
- Active
Rank over the last 12 weeks
Now #984 · best #683 · down 202 in 30 days
- #968 on Nov 1
- #974 on Nov 2
- #978 on Nov 3
- #983 on Nov 4
- #982 on Nov 5
- #984 since Nov 6
63 earlier periods
- #684 on Aug 2
- #680 on Aug 7
- #678 on Aug 8
- #683 on Aug 9
- #714 on Aug 11
- #708 on Aug 12
- #683 on Aug 15
- #706 on Aug 16
- #716 on Aug 17
- #733 on Aug 18
- #716 on Aug 20
- #688 on Aug 22
- #725 on Aug 23
- #750 on Aug 24
- #758 on Aug 25
- #744 on Aug 26
- #754 on Aug 27
- #777 on Aug 28
- #712 on Aug 29
- #718 on Aug 30
- #753 on Aug 31
- #768 on Sep 1
- #756 on Sep 3
- #763 on Sep 7
- #784 on Sep 8
- #767 on Sep 9
- #780 on Sep 10
- #749 on Sep 12
- #780 on Sep 14
- #770 on Sep 15
- #781 on Sep 16
- #782 on Sep 17
- #763 on Sep 18
- #782 on Sep 21
- #804 on Sep 22
- #791 on Sep 23
- #735 on Sep 25
- #739 on Sep 26
- #772 on Sep 27
- #792 on Sep 28
- #820 on Sep 29
- #803 on Sep 30
- #747 on Oct 1
- #766 on Oct 2
- #734 on Oct 3
- #754 on Oct 4
- #766 on Oct 5
- #767 on Oct 6
- #782 on Oct 7
- #829 on Oct 8
- #794 on Oct 9
- #776 on Oct 11
- #818 on Oct 14
- #812 on Oct 16
- #788 on Oct 17
- #777 on Oct 18
- #827 on Oct 23
- #789 on Oct 24
- #964 on Oct 25
- #964 on Oct 28
- #965 on Oct 29
- #962 on Oct 30
- #964 on Oct 31
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 525 notes
.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedvertical-plugins/china-finance/.claude-plugin/plugin.json:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-accrual-schedule/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-accrual-schedule/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-break-trace/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-break-trace/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-clean-data-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-clean-data-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-plugins/china-earnings-reviewer/skills/china-clean-data-xls/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 252 network referencesin 94 files: scripts/generate_a_share_ppt.py:67 wind-mcp/server.py:73 china-skill-creator/SKILL.md:87 and 91 more
- No hidden or obfuscated text
- No instruction overrides
- 26 executable scriptsin 4 files: scripts/check-china.py:1 scripts/generate_a_share_ppt.py:1 scripts/sync-china-skills.py:1 and 1 more
- 149 references to secretsin 93 files: scripts/check-china.py:42 scripts/generate_a_share_ppt.py:25 wind-mcp/server.py:22 and 90 more
- No requests to vote in Hot
Show all 427 signals by file
.claude-plugin/marketplace.json
agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-accrual-schedule/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-audit-xls/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-break-trace/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-catalyst-calendar/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-clean-data-xls/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-comps-analysis/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-comps/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-dcf/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-gl-recon/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-market-data/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-morning-note/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-roll-forward/SKILL.md
agent-plugins/china-earnings-reviewer/skills/china-skill-creator/SKILL.md
- Network accessline 87
[Credential-related source omitted] - Access to secretsline 87
[Credential-related source omitted] - Network accessline 89
- 密钥申请：https://aifinmarket.wind.com.cn/#/home - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
agent-plugins/china-earnings-reviewer/skills/china-variance-commentary/SKILL.md
agent-plugins/china-market-researcher/skills/china-3-statement-model/SKILL.md
agent-plugins/china-market-researcher/skills/china-accrual-schedule/SKILL.md
agent-plugins/china-market-researcher/skills/china-audit-xls/SKILL.md
agent-plugins/china-market-researcher/skills/china-break-trace/SKILL.md
agent-plugins/china-market-researcher/skills/china-catalyst-calendar/SKILL.md
agent-plugins/china-market-researcher/skills/china-clean-data-xls/SKILL.md
agent-plugins/china-market-researcher/skills/china-comps-analysis/SKILL.md
agent-plugins/china-market-researcher/skills/china-comps/SKILL.md
agent-plugins/china-market-researcher/skills/china-dcf/SKILL.md
agent-plugins/china-market-researcher/skills/china-gl-recon/SKILL.md
agent-plugins/china-market-researcher/skills/china-market-data/SKILL.md
agent-plugins/china-market-researcher/skills/china-morning-note/SKILL.md
agent-plugins/china-market-researcher/skills/china-roll-forward/SKILL.md
agent-plugins/china-market-researcher/skills/china-skill-creator/SKILL.md
- Network accessline 87
[Credential-related source omitted] - Access to secretsline 87
[Credential-related source omitted] - Network accessline 89
- 密钥申请：https://aifinmarket.wind.com.cn/#/home - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
agent-plugins/china-market-researcher/skills/china-variance-commentary/SKILL.md
agent-plugins/china-model-builder/skills/china-3-statement-model/SKILL.md
agent-plugins/china-model-builder/skills/china-accrual-schedule/SKILL.md
agent-plugins/china-model-builder/skills/china-audit-xls/SKILL.md
agent-plugins/china-model-builder/skills/china-break-trace/SKILL.md
agent-plugins/china-model-builder/skills/china-catalyst-calendar/SKILL.md
agent-plugins/china-model-builder/skills/china-clean-data-xls/SKILL.md
agent-plugins/china-model-builder/skills/china-comps-analysis/SKILL.md
agent-plugins/china-model-builder/skills/china-comps/SKILL.md
agent-plugins/china-model-builder/skills/china-dcf/SKILL.md
agent-plugins/china-model-builder/skills/china-gl-recon/SKILL.md
agent-plugins/china-model-builder/skills/china-market-data/SKILL.md
agent-plugins/china-model-builder/skills/china-morning-note/SKILL.md
agent-plugins/china-model-builder/skills/china-roll-forward/SKILL.md
agent-plugins/china-model-builder/skills/china-skill-creator/SKILL.md
- Network accessline 87
[Credential-related source omitted] - Access to secretsline 87
[Credential-related source omitted] - Network accessline 89
- 密钥申请：https://aifinmarket.wind.com.cn/#/home - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
agent-plugins/china-model-builder/skills/china-variance-commentary/SKILL.md
agent-plugins/china-pitch-agent/skills/china-3-statement-model/SKILL.md
agent-plugins/china-pitch-agent/skills/china-accrual-schedule/SKILL.md
agent-plugins/china-pitch-agent/skills/china-audit-xls/SKILL.md
agent-plugins/china-pitch-agent/skills/china-break-trace/SKILL.md
agent-plugins/china-pitch-agent/skills/china-catalyst-calendar/SKILL.md
agent-plugins/china-pitch-agent/skills/china-clean-data-xls/SKILL.md
agent-plugins/china-pitch-agent/skills/china-comps-analysis/SKILL.md
agent-plugins/china-pitch-agent/skills/china-comps/SKILL.md
agent-plugins/china-pitch-agent/skills/china-dcf/SKILL.md
agent-plugins/china-pitch-agent/skills/china-gl-recon/SKILL.md
agent-plugins/china-pitch-agent/skills/china-market-data/SKILL.md
agent-plugins/china-pitch-agent/skills/china-morning-note/SKILL.md
agent-plugins/china-pitch-agent/skills/china-roll-forward/SKILL.md
agent-plugins/china-pitch-agent/skills/china-skill-creator/SKILL.md
- Network accessline 87
[Credential-related source omitted] - Access to secretsline 87
[Credential-related source omitted] - Network accessline 89
- 密钥申请：https://aifinmarket.wind.com.cn/#/home - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
agent-plugins/china-pitch-agent/skills/china-variance-commentary/SKILL.md
mcp-servers/wind-mcp/SKILL.md
- Network accessline 15
| 传输协议 | stdio (本地) / SSE (部署) | | API 密钥 | `WIND_API_KEY` 环境变量 (以 `ak_` 开头) | | 密钥申请 | https://aifinmarket.wind.com.cn/#/home | - Network accessline 16
[Credential-related source omitted] - Access to secretsline 16
[Credential-related source omitted] - Network accessline 17
| 密钥申请 | https://aifinmarket.wind.com.cn/#/home | - Access to secretsline 144
[Credential-related source omitted]
mcp-servers/wind-mcp/references/fallback-alice.md
mcp-servers/wind-mcp/server.py
- Executable scriptline 1
Executable file - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 56
[Credential-related source omitted] - Access to secretsline 61
[Credential-related source omitted] - Access to secretsline 67
[Credential-related source omitted] - Network accessline 73
[Credential-related source omitted] - Access to secretsline 73
[Credential-related source omitted] - Network accessline 74
BASE_URL = "https://mcp.wind.com.cn" - Access to secretsline 76
[Credential-related source omitted] - Network accessline 93
_session = requests.Session() - Access to secretsline 115
[Credential-related source omitted] - Access to secretsline 129
[Credential-related source omitted] - Access to secretsline 191
[Credential-related source omitted] - Network accessline 192
return json.dumps( {"error": "Wind API Key 未配置。请设置 WIND_API_KEY 环境变量或在 mcp_config.json 中配置密钥。" "申请地址：https://aifinmarket.wind.com.cn/#/home"}, - Network accessline 193
[Credential-related source omitted] - Access to secretsline 193
[Credential-related source omitted] - Network accessline 194
"申请地址：https://aifinmarket.wind.com.cn/#/home"}, - Access to secretsline 807
[Credential-related source omitted] - Network accessline 809
"WARNING: Wind API Key 未配置。" "请设置 WIND_API_KEY 环境变量或在 mcp_config.json 中配置密钥。" "申请地址：https://aifinmarket.wind.com.cn/#/home", - Network accessline 810
[Credential-related source omitted] - Access to secretsline 810
[Credential-related source omitted] - Network accessline 811
"申请地址：https://aifinmarket.wind.com.cn/#/home", - Network accessline 818
"Use --host 127.0.0.1 for local-only access or put a reverse proxy in front.", file=sys.stderr) print(f"Starting Wind SSE server on http://{args.host}:{args.port}/mcp", file=sys.stderr) - Network accessline 819
file=sys.stderr) print(f"Starting Wind SSE server on http://{args.host}:{args.port}/mcp", file=sys.stderr) server.run(transport="sse", host=args.host, port=args.port) - Network accessline 820
print(f"Starting Wind SSE server on http://{args.host}:{args.port}/mcp", file=sys.stderr)
scripts/check-china.py
- Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
Executable file; content unavailable - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted]
scripts/generate_a_share_ppt.py
- Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 26
[Credential-related source omitted] - Access to secretsline 26
[Credential-related source omitted] - Access to secretsline 26
[Credential-related source omitted] - Access to secretsline 26
[Credential-related source omitted] - Access to secretsline 26
[Credential-related source omitted] - Access to secretsline 29
[Credential-related source omitted] - Access to secretsline 29
[Credential-related source omitted] - Access to secretsline 29
[Credential-related source omitted] - Access to secretsline 29
[Credential-related source omitted] - Access to secretsline 29
[Credential-related source omitted] - Network accessline 67
def fetch_quote(ticker): prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 67
def fetch_quote(ticker): prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 67
def fetch_quote(ticker): prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 67
def fetch_quote(ticker): prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 67
def fetch_quote(ticker): prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 68
prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") text = r.text.strip() - Network accessline 68
prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") text = r.text.strip() - Network accessline 68
prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") text = r.text.strip() - Network accessline 68
prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") text = r.text.strip() - Network accessline 68
prefix = _prefix(ticker) r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") text = r.text.strip() - Network accessline 69
r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 69
r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 69
r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 69
r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 69
r = _get(f"https://qt.gtimg.cn/q={prefix}{ticker}") - Network accessline 119
return d start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 119
return d start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 119
return d start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 119
return d start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 119
return d start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 120
start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" f"?param={prefix}{ticker},day,{start_f},{end_f},500,qfq") - Network accessline 120
start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" f"?param={prefix}{ticker},day,{start_f},{end_f},500,qfq") - Network accessline 120
start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" f"?param={prefix}{ticker},day,{start_f},{end_f},500,qfq") - Network accessline 120
start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" f"?param={prefix}{ticker},day,{start_f},{end_f},500,qfq") - Network accessline 120
start_f, end_f = _fmt(start), _fmt(end) url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" f"?param={prefix}{ticker},day,{start_f},{end_f},500,qfq") - Network accessline 121
url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 121
url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 121
url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 121
url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 121
url = (f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get" - Network accessline 152
return [] pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 152
return [] pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 152
return [] pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 152
return [] pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 152
return [] pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 153
pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") results = [] - Network accessline 153
pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") results = [] - Network accessline 153
pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") results = [] - Network accessline 153
pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") results = [] - Network accessline 153
pairs = [f"{_prefix(t)}{t}" for t in tickers] r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") results = [] - Network accessline 154
r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 154
r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 154
r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 154
r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}") - Network accessline 154
r = _get(f"https://qt.gtimg.cn/q={','.join(pairs)}")
scripts/sync-china-skills.py
vertical-plugins/china-finance/skills/china-3-statement-model/SKILL.md
vertical-plugins/china-finance/skills/china-audit-xls/SKILL.md
vertical-plugins/china-finance/skills/china-catalyst-calendar/SKILL.md
vertical-plugins/china-finance/skills/china-clean-data-xls/SKILL.md
vertical-plugins/china-finance/skills/china-comps-analysis/SKILL.md
vertical-plugins/china-finance/skills/china-comps/SKILL.md
vertical-plugins/china-finance/skills/china-dcf/SKILL.md
vertical-plugins/china-finance/skills/china-market-data/SKILL.md
vertical-plugins/china-finance/skills/china-morning-note/SKILL.md
vertical-plugins/china-finance/skills/china-skill-creator/SKILL.md
- Network accessline 87
[Credential-related source omitted] - Access to secretsline 87
[Credential-related source omitted] - Network accessline 89
- 密钥申请：https://aifinmarket.wind.com.cn/#/home - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
vertical-plugins/fund-admin/skills/china-accrual-schedule/SKILL.md
vertical-plugins/fund-admin/skills/china-break-trace/SKILL.md
vertical-plugins/fund-admin/skills/china-gl-recon/SKILL.md
vertical-plugins/fund-admin/skills/china-nav-tieout/SKILL.md
vertical-plugins/fund-admin/skills/china-roll-forward/SKILL.md
vertical-plugins/fund-admin/skills/china-variance-commentary/SKILL.md
vertical-plugins/investment-banking/skills/china-buyer-list/SKILL.md
vertical-plugins/investment-banking/skills/china-cim-builder/SKILL.md
vertical-plugins/investment-banking/skills/china-competitive-analysis/SKILL.md
vertical-plugins/investment-banking/skills/china-datapack-builder/SKILL.md
vertical-plugins/investment-banking/skills/china-deal-tracker/SKILL.md
vertical-plugins/investment-banking/skills/china-merger-model/SKILL.md
vertical-plugins/investment-banking/skills/china-pitch-deck/SKILL.md
vertical-plugins/investment-banking/skills/china-process-letter/SKILL.md
vertical-plugins/investment-banking/skills/china-strip-profile/SKILL.md
vertical-plugins/investment-banking/skills/china-teaser/SKILL.md
vertical-plugins/operations/skills/china-kyc-doc-parse/SKILL.md
vertical-plugins/operations/skills/china-kyc-rules/SKILL.md
vertical-plugins/private-equity/skills/china-returns-analysis/SKILL.md
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md agent-plugins/china-earnings-reviewer/skills/china-3-statement-model/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
Explore alternatives and comparisons
Add this badge to your README
It updates every night and links to this page.
[](https://hotskills.dev/skill/jwangkun-claude-for-financial-services-cn/)