codebase-context
This skill should be used when the user asks to "analyze the codebase", "understand the tech stack", "extract project patterns", "get codebase context", "what technologies are used", or when preparing context for planning documents, PRDs, or design documentation.
npx skills add majiayu000/claude-skill-registry --skill codebase-context --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Codebase Context Extraction Extract and summarize codebase context for planning purposes. This skill provides quick analysis approaches for different project types and standardized output formats. ## Quick Analysis Approach ### 1. Detect Tech Stack **JavaScript/TypeScript Projects:** ```bash cat package.json 2>/dev/null | head -60 ``` Identify from output: - `dependencies` / `devDependencies` for frameworks - `scripts` for build/test commands - `type: "module"` for ESM **Python Projects:** ```bash cat pyproject.toml 2>/dev/null || cat requirements.txt 2>/dev/null | head -30 ``` **Go Projects:** ```bash cat go.mod 2>/dev/null | head -15 ``` **Rust Projects:** ```bash cat Cargo.toml 2>/dev/null | head -30 ``` ### 2. Map Project Structure ```bash # Get directory tree (excluding noise) find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' -not -path '*/dist/*' -not -path '*/__pycache__/*' -not -path '*/target/*' | sort | head -40 ``` ```bash # Count files by type find . -type f -name "*.ts" -o -name "*.tsx" | wc -l find . -type f -name "*.py" | wc -l find . -type f -name "*.go" | wc -l ``` ### 3. Find Key Documentation ```bash # Project docs ls -la README* CLAUDE* AGENTS
- Quick Analysis Approach
- 1. Detect Tech Stack
- 2. Map Project Structure
- 3. Find Key Documentation
- 4. Identify Patterns
- Output Format
- Integration Notes
- Common Tech Stack Indicators
- Quality Checklist
cat package.json 2>/dev/null | head -60 cat pyproject.toml 2>/dev/null || cat requirements.txt 2>/dev/null | head -30 cat go.mod 2>/dev/null | head -15 cat Cargo.toml 2>/dev/null | head -30 Get directory tree (excluding noise) find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' -not -path '*/dist/*' -not -path '*/__pycache__/*' -not -path '*/target/*' | sort | head -40 Count files by type find . -type f -name "*.ts" -o -name "*.tsx" | wc -l find . -type f -name "*.py" | wc -l find . -type f -name "*.go" | wc -l
What does the codebase-context skill do?
This skill should be used when the user asks to "analyze the codebase", "understand the tech stack", "extract project patterns", "get codebase context", "what technologies are used", or when preparing context for planning documents, PRDs, or design documentation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill codebase-context --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.