
codebase-context
by jsegov
Spec Driven Development Plugin for Claude Code
SKILL.md
name: codebase-context description: 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. version: 0.1.0 allowed-tools: Read, Glob, Grep, Bash(find:), Bash(head:), Bash(cat:), Bash(ls:), Bash(wc:*)
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:
cat package.json 2>/dev/null | head -60
Identify from output:
dependencies/devDependenciesfor frameworksscriptsfor build/test commandstype: "module"for ESM
Python Projects:
cat pyproject.toml 2>/dev/null || cat requirements.txt 2>/dev/null | head -30
Go Projects:
cat go.mod 2>/dev/null | head -15
Rust Projects:
cat Cargo.toml 2>/dev/null | head -30
2. Map Project Structure
# 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
3. Find Key Documentation
# Project docs
ls -la README* CLAUDE* AGENTS* CONTRIBUTING* 2>/dev/null
# Config files
ls -la *.json *.yaml *.toml .env* 2>/dev/null
4. Identify Patterns
API Structure:
# REST endpoints
grep -r "app\.\(get\|post\|put\|delete\)" --include="*.ts" --include="*.js" | head -10
Component Patterns:
# React components
find . -path '*/components/*' -name "*.tsx" | head -10
Database Models:
# Schema definitions
find . -name "schema*" -o -name "*model*" | grep -v node_modules | head -10
Output Format
Structure codebase context summaries as:
## Technology Stack
**Language:** [e.g., TypeScript 5.x]
**Runtime:** [e.g., Node.js 20, Bun 1.x]
**Framework:** [e.g., Next.js 14 (App Router), FastAPI]
**Database:** [e.g., PostgreSQL with Drizzle ORM]
**Styling:** [e.g., Tailwind CSS]
**Testing:** [e.g., Vitest, Playwright]
## Project Structure
- `src/` - Main source code
- `components/` - React components
- `lib/` - Utility functions
- `app/` - Next.js app router pages
- `tests/` - Test files
## Key Patterns
- [Pattern 1: e.g., "Server components by default, client components marked explicitly"]
- [Pattern 2: e.g., "API routes use zod for validation"]
- [Pattern 3: e.g., "Error handling uses Result types"]
## Conventions
- Package manager: [pnpm/npm/yarn/bun]
- Code style: [ESLint + Prettier config]
- Commit style: [Conventional commits]
- Branch strategy: [main + feature branches]
## Existing Documentation
- README.md: [brief summary]
- CLAUDE.md: [if exists, key points]
- AGENTS.md: [if exists, key points]
Integration Notes
This context should be:
- Saved to
.shipspec/planning/<feature>/context.mdtemporarily during planning - Used by PRD and design document generation
- Referenced when creating implementation tasks
Note: The context file is automatically cleaned up after task generation completes. The relevant context is incorporated into the PRD, SDD, and TASKS.md files.
Common Tech Stack Indicators
| Indicator | Technology |
|---|---|
next.config.js | Next.js |
vite.config.ts | Vite |
tailwind.config.js | Tailwind CSS |
drizzle.config.ts | Drizzle ORM |
prisma/schema.prisma | Prisma ORM |
pyproject.toml | Modern Python |
go.mod | Go modules |
Cargo.toml | Rust |
Quality Checklist
Before finalizing context extraction:
- Tech stack versions identified
- Project structure mapped
- Key patterns documented
- Existing documentation referenced
- Conventions noted
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
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GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
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プログラミング言語が設定されている
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Reviews
Reviews coming soon
