mirror of
https://github.com/affaan-m/everything-claude-code.git
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Commands enhanced with multi-language support, error recovery strategies, and structured step-by-step workflows: - build-fix: build system detection table, fix loop, recovery strategies - test-coverage: framework detection, test generation rules, before/after report - refactor-clean: safety tiers (SAFE/CAUTION/DANGER), multi-language tools - update-codemaps: codemap format spec, diff detection, metadata headers - update-docs: source-of-truth mapping, staleness checks, generated markers New example: - rust-api-CLAUDE.md: Axum + SQLx + PostgreSQL with layered architecture, thiserror patterns, compile-time SQL verification, integration test examples
73 lines
2.3 KiB
Markdown
73 lines
2.3 KiB
Markdown
# Update Codemaps
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Analyze the codebase structure and generate token-lean architecture documentation.
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## Step 1: Scan Project Structure
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1. Identify the project type (monorepo, single app, library, microservice)
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2. Find all source directories (src/, lib/, app/, packages/)
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3. Map entry points (main.ts, index.ts, app.py, main.go, etc.)
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## Step 2: Generate Codemaps
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Create or update codemaps in `docs/CODEMAPS/` (or `.reports/codemaps/`):
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| File | Contents |
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|------|----------|
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| `architecture.md` | High-level system diagram, service boundaries, data flow |
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| `backend.md` | API routes, middleware chain, service → repository mapping |
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| `frontend.md` | Page tree, component hierarchy, state management flow |
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| `data.md` | Database tables, relationships, migration history |
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| `dependencies.md` | External services, third-party integrations, shared libraries |
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### Codemap Format
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Each codemap should be token-lean — optimized for AI context consumption:
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```markdown
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# Backend Architecture
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## Routes
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POST /api/users → UserController.create → UserService.create → UserRepo.insert
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GET /api/users/:id → UserController.get → UserService.findById → UserRepo.findById
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## Key Files
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src/services/user.ts (business logic, 120 lines)
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src/repos/user.ts (database access, 80 lines)
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## Dependencies
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- PostgreSQL (primary data store)
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- Redis (session cache, rate limiting)
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- Stripe (payment processing)
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```
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## Step 3: Diff Detection
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1. If previous codemaps exist, calculate the diff percentage
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2. If changes > 30%, show the diff and request user approval before overwriting
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3. If changes <= 30%, update in place
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## Step 4: Add Metadata
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Add a freshness header to each codemap:
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```markdown
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<!-- Generated: 2026-02-11 | Files scanned: 142 | Token estimate: ~800 -->
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```
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## Step 5: Save Analysis Report
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Write a summary to `.reports/codemap-diff.txt`:
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- Files added/removed/modified since last scan
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- New dependencies detected
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- Architecture changes (new routes, new services, etc.)
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- Staleness warnings for docs not updated in 90+ days
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## Tips
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- Focus on **high-level structure**, not implementation details
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- Prefer **file paths and function signatures** over full code blocks
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- Keep each codemap under **1000 tokens** for efficient context loading
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- Use ASCII diagrams for data flow instead of verbose descriptions
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- Run after major feature additions or refactoring sessions
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