Individual skill
private-wealth-advisory-json
Prepare structured JSON answers for private wealth advisory planning tasks that use the task-group advisory API, request_memo.md, and answer_template.json. Use for Roth conversion/RMD summaries, ILIT Crummey funding cycles, GRAT vs CRAT comparisons, and estate liquidity action plans where client facts must be reconciled across signed profiles, attorney memos, CRM notes, custodian exports, life insurance records, trust candidates, tax policy constants, and RMD factors.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_008/fewshot/deepagents/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- finance Derived category
- sales Derived category
- productivity Derived category
- productivity-notes Derived category
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SKILL.mdcore · 2,674 bytesSKILL.mdcore · 2,674 bytesSKILL.mdcore · 2,674 bytesSKILL.mdcore · 2,674 bytesSKILL.mdcore · 2,674 bytesreferences/calculation_rules.mddoc · 5,248 bytesscripts/advisory_planner.pyruns · 24,562 bytes
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# Private Wealth Advisory JSON
## Workflow
Read the task prompt, `input/payloads/request_memo.md`, and `input/payloads/answer_template.json` before calculating. Extract the `client_id`, `task_id`, required top-level keys, `analysis_type`, and any planning horizon stated in the memo.
Use the advisory API base from `API_BASE` when present. If the harness supplies the base another way, pass that URL explicitly. Fetch all relevant records for the client: profile, source documents, retirement accounts, life insurance, trust candidates, tax policy constants, and RMD factors.
For a fast deterministic draft, run the bundled helper with paths resolved relative to this skill:
```bash
python scripts/advisory_planner.py \
--task-id test_001 \
--memo input/payloads/request_memo.md \