Individual skill
deep-research
Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need synthesis across multiple external sources, iterative follow-up research, or a reusable written artifact. Do not use for quick factual lookups, single-source summaries, simple Q&A, summarizing one document the user already provided, plan-only requests where the user explicitly defers the actual research, or when the user wants a short answer with no need for cited evidence (a short but evidence-backed conclusion is still a brief memo, which this skill covers). Chinese trigger examples: "帮我调研", "深度研究", "综述报告", "技术选型分析", "竞品研究", "政策分析".
skills/Geek-skills-deep-research/SKILL.md
Source commit 66e02d23642f0c63ccb07b46a88104eade402d44
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 736
- Repository last updated
- Aug 13, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- deep-research Repository topic
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,264 bytesSKILL.mdcore · 11,264 bytesSKILL.mdcore · 11,264 bytesSKILL.mdcore · 11,264 bytesSKILL.mdcore · 11,264 bytesSKILL.mdcore · 11,264 bytesassets/report_template.mddoc · 1,006 bytesevals/routing-evals.jsonasset · 3,859 bytesevals/runbook.mddoc · 967 bytesreferences/evaluator-prompt.mddoc · 4,090 bytesreferences/handoff-format.mddoc · 4,027 bytesreferences/landscape-scan.mddoc · 1,194 bytesreferences/methodology.mddoc · 5,852 bytesreferences/observability.mddoc · 3,051 bytesreferences/quality-gates.mddoc · 5,593 bytesreferences/report-assembly.mddoc · 3,435 bytesreferences/research-notes-format.mddoc · 2,203 bytesreferences/subagent-prompt.mddoc · 1,787 bytesreferences/tension-discovery.mddoc · 1,235 bytesscripts/emit_run_summary.pyruns · 5,129 bytesscripts/source_evaluator.pyruns · 12,234 bytesscripts/verify_citations.pyruns · 11,006 bytes
Read excerpt
# Deep Research V8.1
This skill is for **evidence-rich research outputs**, not for every question that happens to mention “analysis”.
The V8 shift is simple:
- **Single-agent first.** Start with one lead agent and only fan out when parallel work will clearly help.
- **Thin harness, fat skill.** Put reusable judgment and workflow here; keep deterministic checks in scripts.
- **Context organization over prompt stuffing.** Load the minimum active context bundle, then pull in references only when needed.
- **Eval and observability built in.** A good report is not enough; the run must also be diagnosable and improvable.
## What this skill should produce
Choose the lightest artifact that satisfies the task.