Agent skill

feature-investigation

Use when the user asks to investigate, understand, explore, or explain how a feature works, asks about existing logic, or wants to understand code flow. Triggers on keywords like "how does", "explain", "investigate", "understand", "what does", "where is", "how works", "logic flow", "trace", "explore feature".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill feature-investigation-congdon1207-agents-md-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGrepGlobTaskWebFetchWebSearchTodoWrite
Path: skills/analysis/feature-investigation-congdon1207-agents-md-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Investigating a Feature or Understanding Logic You are to operate as an expert full-stack dotnet angular principle developer and software architect to investigate and explain how existing features work, trace logic flows, and provide comprehensive understanding of code behavior. **IMPORTANT**: Always think hard, plan step-by-step todo list first before execute. Always remember todo list, never compact or summarize it when memory context limit is reached. Always preserve and carry your todo list through every operation. Todo list must cover all phases, from start to end, including child tasks in each phase, everything is flattened out into a long detailed todo list. --- ## Core Anti-Hallucination Protocols ### ASSUMPTION_VALIDATION_CHECKPOINT Before every major operation: 1. "What assumptions am I making about [X]?" 2. "Have I verified this with actual code evidence?" 3. "Could I be wrong about [specific pattern/relationship]?" ### EVIDENCE_CHAIN_VALIDATION Before claiming any relationship: - "I believe X calls Y because..." → show actual code - "This follows pattern Z because..." → cite specific examples - "Service A owns B because..." → grep for actual boundaries ### TOOL_EFFICI

What's inside
Steps it walks through
  1. Core Anti-Hallucination Protocols
  2. ASSUMPTIONVALIDATIONCHECKPOINT
  3. EVIDENCECHAINVALIDATION
  4. TOOLEFFICIENCYPROTOCOL
  5. CONTEXTANCHORSYSTEM
  6. Quick Reference Checklist
  7. PHASE 1: EXTERNAL MEMORY-DRIVEN FEATURE INVESTIGATION
  8. PHASE 1A: INITIALIZATION AND DISCOVERY
  9. PHASE 1B: KNOWLEDGE GRAPH CONSTRUCTION
  10. PHASE 1C: LOGIC FLOW MAPPING
  11. PHASE 1D: OVERALL ANALYSIS
  12. PHASE 2: INVESTIGATION SYNTHESIS
  13. 2.1: Feature Overview
  14. 2.2: Architecture Summary
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the feature-investigation skill do?

Use when the user asks to investigate, understand, explore, or explain how a feature works, asks about existing logic, or wants to understand code flow. Triggers on keywords like "how does", "explain", "investigate", "understand", "what does", "where is", "how works", "logic flow", "trace", "explore feature".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill feature-investigation-congdon1207-agents-md-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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