codemap

What I do

Analyze your entire codebase and create 7 comprehensive documentation files in .planning/codebase/:

• STACK.md – Technologies, dependencies, configuration
• INTEGRATIONS.md – 3rd party providers, APIs, databases, auth providers
• ARCHITECTURE.md – System patterns, layers, data flow
• STRUCTURE.md – Directory layout, key locations, naming conventions
• CONVENTIONS.md – Code style, patterns, error handling
• TESTING.md – Framework, structure, mocking, coverage
• CONCERNS.md – Tech debt, bugs, security, performance issues

When to use me

Use this skill when you need to:

• Onboard new developers to understand the codebase quickly
• Plan new features with full context of existing patterns
• Understand code conventions before making changes
• Identify technical debt and areas of concern
• Document the current state of the project

How it works

This skill orchestrates 4 parallel agents, each exploring a specific focus area:

1. Tech Agent → Analyzes stack and integrations → STACK.md, INTEGRATIONS.md
2. Architecture Agent → Analyzes patterns and structure → ARCHITECTURE.md, STRUCTURE.md
3. Quality Agent → Analyzes conventions and testing → CONVENTIONS.md, TESTING.md
4. Concerns Agent → Identifies tech debt and issues → CONCERNS.md

Each agent:

• Explores the codebase in a fresh context
• Uses templates from $SKILL_PATH/templates/
• Writes documents directly to .planning/codebase/
• Returns only confirmation (not document contents)

The orchestrator:

• Creates .planning/codebase/ directory
• Spawns 4 parallel agents with run_in_background=true
• Collects confirmations
• Verifies all documents created
• Commits the codebase map (if configured)

Process

Step 1: Check Existing Map

If .planning/codebase/ already exists, prompt:

.planning/codebase/ already exists. What's next?
1. Refresh - Delete existing and remap codebase
2. Update - Keep existing, only update specific documents
3. Skip - Use existing codebase map as-is

Step 2: Create Structure

Create the output directory:

mkdir -p .planning/codebase

Step 3: Spawn Parallel Agents

Use the Task tool with agent_type="explore" and run_in_background=true for parallel execution.

Tech Agent:

agent_type: explore
description: Map codebase tech stack
prompt: |
	Focus: tech

	Analyze this codebase for technology stack and external integrations.

	Write these documents to .planning/codebase/:
	- STACK.md - Languages, runtime, frameworks, dependencies, configuration
	- INTEGRATIONS.md - External APIs, databases, auth providers, webhooks

	Use the templates from map-codebase skill. Explore thoroughly.
	Write documents directly. Return confirmation only.

Architecture Agent:

agent_type: explore
description: Map codebase architecture
prompt: |
	Focus: arch

	Analyze this codebase architecture and directory structure.

	Write these documents to .planning/codebase/:
	- ARCHITECTURE.md - Pattern, layers, data flow, abstractions, entry points
	- STRUCTURE.md - Directory layout, key locations, naming conventions

	Use the templates from map-codebase skill. Explore thoroughly.
	Write documents directly. Return confirmation only.

Quality Agent:

agent_type: explore
description: Map codebase conventions
prompt: |
	Focus: quality

	Analyze this codebase for coding conventions and testing patterns.

	Write these documents to .planning/codebase/:
	- CONVENTIONS.md - Code style, naming, patterns, error handling
	- TESTING.md - Framework, structure, mocking, coverage

	Use the templates from map-codebase skill. Explore thoroughly.
	Write documents directly. Return confirmation only.

Concerns Agent:

agent_type: explore
description: Map codebase concerns
prompt: |
	Focus: concerns

	Analyze this codebase for technical debt, known issues, and areas of concern.

	Write this document to .planning/codebase/:
	- CONCERNS.md - Tech debt, bugs, security, performance, fragile areas

	Use the templates from map-codebase skill. Explore thoroughly.
	Write document directly. Return confirmation only.

Step 4: Verify Output

Check that all documents were created:

ls -la .planning/codebase/
wc -l .planning/codebase/*.md

Step 5: Commit (Optional)

If .planning/ is not gitignored and the user wants to commit:

git add .planning/codebase/*.md
git commit -m "docs: map existing codebase

- STACK.md - Technologies and dependencies
- ARCHITECTURE.md - System design and patterns
- STRUCTURE.md - Directory layout
- CONVENTIONS.md - Code style and patterns
- TESTING.md - Test structure
- INTEGRATIONS.md - External services
- CONCERNS.md - Technical debt and issues"

Step 6: Summary

Present completion summary:

Codebase mapping complete.

Created .planning/codebase/:
- STACK.md ([N] lines) - Technologies and dependencies
- ARCHITECTURE.md ([N] lines) - System design and patterns
- STRUCTURE.md ([N] lines) - Directory layout and organization
- CONVENTIONS.md ([N] lines) - Code style and patterns
- TESTING.md ([N] lines) - Test structure and practices
- INTEGRATIONS.md ([N] lines) - External services and APIs
- CONCERNS.md ([N] lines) - Technical debt and issues

Next steps:
- Review documents: cat .planning/codebase/STACK.md
- Use these as reference when planning features
- Update as codebase evolves

Templates

Templates are located in $SKILL_PATH/templates/:

• STACK.md.template – Technology stack
• INTEGRATIONS.md.template – External integrations
• ARCHITECTURE.md.template – System architecture
• STRUCTURE.md.template – Directory structure
• CONVENTIONS.md.template – Coding conventions
• TESTING.md.template – Testing patterns
• CONCERNS.md.template – Technical concerns

Each agent reads the appropriate template and fills it in based on codebase exploration.

Agent Guidelines

When spawned as a mapper agent:

Exploration Commands

Helper: Use fd if available, fall back to find

# Define finder helper (fd if available, otherwise find)
_finder() { command -v fd >/dev/null 2>&1 && fd "$@" || find "$@"; }
_rg() { command -v rg >/dev/null 2>&1 && rg "$@" || grep -r "$@"; }

Tech Focus:

# Package manifests
cat package.json pyproject.toml Cargo.toml go.mod 2>/dev/null

# Config files
ls -la *.config.* .env* tsconfig.json 2>/dev/null

# Find SDK/API imports
_rg "import.*stripe|import.*supabase|import.*aws" src/ 2>/dev/null | head -50

Architecture Focus:

# Directory structure (fd is faster and ignores node_modules/.git by default)
_finder -t d . | head -50

# Entry points
_finder -t f "index.*" "main.*" "app.*" src/ app/ 2>/dev/null | head -20

# Import patterns
_rg "^import" src/ 2>/dev/null | head -100

Quality Focus:

# Linting/formatting config
cat .eslintrc* .prettierrc* biome.json 2>/dev/null

# Test files
_finder -t f "\.test\." "\.spec\." 2>/dev/null | head -30

Concerns Focus:

# TODO/FIXME comments
_rg "TODO|FIXME|HACK|XXX" src/ 2>/dev/null | head -50

# Large files (potential complexity)
_finder -t f "\.ts$" -e "\.tsx$" src/ 2>/dev/null | xargs wc -l 2>/dev/null | sort -rn | head -20

Critical Rules

1. Write documents directly – Use the Write tool, don’t return contents
2. Always include file paths – Every finding needs a file path in backticks
3. Use the templates – Fill in the template structure exactly
4. Be thorough – Read actual files, don’t guess
5. Return only confirmation – Response should be ~10 lines with file paths and line counts
6. Don’t commit – The orchestrator handles git operations

Benefits

• Fast: Parallel exploration reduces total time
• Fresh context: Each agent starts clean, no token contamination
• Minimal context transfer: Agents write directly, orchestrator only receives confirmations
• Comprehensive: 7 structured documents cover all aspects of the codebase
• Reusable: Documents serve as reference for future planning and development

Inspiration

This skill is inspired by and adapted from glittercowboy/get-shit-done, specifically their map-codebase workflow and gsd-codebase-mapper agent.