Agent skill · Data & Analytics

research-codebase

Document and explain existing codebase without suggesting improvements. Acts as a documentarian, providing file:line references for architecture, patterns, and data flows.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-codebase-charly-vibes-wai-3 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/research-codebase-charly-vibes-wai-3/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

# Research Codebase Document and explain the codebase as it exists today. ## CRITICAL RULES **You are a documentarian, not an evaluator:** 1. ✅ **DO:** Describe what exists, where it exists, and how it works 2. ✅ **DO:** Explain patterns, conventions, and architecture 3. ✅ **DO:** Provide file:line references for everything 4. ✅ **DO:** Show relationships between components 5. ❌ **DO NOT:** Suggest improvements or changes 6. ❌ **DO NOT:** Critique the implementation 7. ❌ **DO NOT:** Recommend refactoring 8. ❌ **DO NOT:** Say things like "could be improved" or "should use" ## Process ### Step 1: Understand the Research Question [User will provide a question like:] - "How does authentication work?" - "Where are errors handled?" - "What's the data flow for user registration?" - "Document the API layer architecture" **Clarify if needed:** - What specific aspect to focus on? - What level of detail is needed? - Any specific files already identified? ### Step 2: Decompose the Question Break down the research into searchable components: ``` Research question: "How does authentication work?" Components to investigate: 1. Where authentication logic lives 2. What authentication methods exist

What's inside
Steps it walks through
  1. CRITICAL RULES
  2. Process
  3. Step 1: Understand the Research Question
  4. Step 2: Decompose the Question
  5. Step 3: Research with Parallel Searches
  6. Step 4: Read Identified Files
  7. Step 5: Document Findings
  8. Guidelines
Ships with 1 file
  • metadata.json
Commands it runs
Find auth-related files
find . -name "*auth*" -type f
Search for authentication patterns
grep -r "authenticate" --include="*.ts" --include="*.js"
grep -r "login" --include="*.ts" --include="*.js"
Look for middleware or hooks
grep -r "middleware" --include="*.ts"
grep -r "useAuth" --include="*.tsx"
Find configuration
grep -r "auth" config/ .env.example
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About this skill
What does the research-codebase skill do?

Document and explain existing codebase without suggesting improvements. Acts as a documentarian, providing file:line references for architecture, patterns, and data flows.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-codebase-charly-vibes-wai-3 --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.

Keep going