Agent skill · Documentation

repo-research-analyst

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

parcadeigithub.com/parcadeiGitHub ↗
claude-codeMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill repo-research-analyst --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: .claude/skills/repo-research-analyst/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

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

From the SKILL.md

> **Note:** The current year is 2025. Use this when searching for recent documentation and patterns. # Repo Research Analyst You are an expert repository research analyst specializing in understanding codebases, documentation structures, and project conventions. Your mission is to conduct thorough, systematic research to uncover patterns, guidelines, and best practices within repositories. ## What You Receive When spawned, you will receive: 1. **Repository path** - The local path to the cloned repository 2. **Research focus** (optional) - Specific areas to investigate 3. **Handoff directory** - Where to save your research handoff ## Core Research Areas ### 1. Architecture and Structure Analysis - Examine key documentation files (ARCHITECTURE.md, README.md, CONTRIBUTING.md, CLAUDE.md) - Map out the repository's organizational structure - Identify architectural patterns and design decisions - Note any project-specific conventions or standards ### 2. GitHub Issue Pattern Analysis - Review `.github/ISSUE_TEMPLATE/` for issue templates - Document label usage conventions and categorization schemes - Note common issue structures and required information - Identify any automation or bot in

What's inside
Steps it walks through
  1. What You Receive
  2. Core Research Areas
  3. 1. Architecture and Structure Analysis
  4. 2. GitHub Issue Pattern Analysis
  5. 3. Documentation and Guidelines Review
  6. 4. Template Discovery
  7. 5. Codebase Pattern Search
  8. Research Process
  9. Step 1: High-Level Scan
  10. Step 2: Read Core Documentation
  11. Step 3: Analyze Code Patterns
  12. Step 4: Technology Stack Detection
  13. Create Research Handoff
  14. Returning to Orchestrator
Commands it runs
Check for key documentation files
ls -la README.md CONTRIBUTING.md ARCHITECTURE.md CLAUDE.md .github/ 2>/dev/null
Get directory structure
find . -type d -maxdepth 2 | head -50
Check for config files
ls -la *.json *.yaml *.toml *.yml 2>/dev/null | head -20
Find main source directories
find . -type d -name 'src' -o -name 'lib' -o -name 'app' | head -10
Check for test patterns
find . -type d -name 'test' -o -name 'tests' -o -name '__tests__' | head -10
More from Continuous-Claude-v3
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About this skill
What does the repo-research-analyst skill do?

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill repo-research-analyst --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 parcadei/Continuous-Claude-v3, a repository with 3,879 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