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codemap

Orchestrate parallel codebase analysis to produce 7 structured documents about the codebase in .planning/codebase/

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
47
Hot score
91
Updated
March 20, 2026
Overall rating
C2.2
Composite score
2.2
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install jellydn-my-ai-tools-codemap

Repository

jellydn/my-ai-tools

Skill path: skills/codemap

Orchestrate parallel codebase analysis to produce 7 structured documents about the codebase in .planning/codebase/

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack.

Target audience: everyone.

License: MIT.

Original source

Catalog source: SkillHub Club.

Repository owner: jellydn.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install codemap into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/jellydn/my-ai-tools before adding codemap to shared team environments
  • Use codemap for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: codemap
description: Orchestrate parallel codebase analysis to produce 7 structured documents about the codebase in .planning/codebase/
license: MIT
compatibility: opencode, claude, amp, codex, gemini
hint: Use when mapping codebase structure, documenting architecture, or onboarding to a project
user-invocable: true
metadata:
  audience: all
  workflow: codebase-mapping
---

## 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:
```bash
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:
```bash
ls -la .planning/codebase/
wc -l .planning/codebase/*.md
```

### Step 5: Commit (Optional)

If `.planning/` is not gitignored and the user wants to commit:
```bash
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**
```bash
# 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:**
```bash
# 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:**
```bash
# 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:**
```bash
# 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:**
```bash
# 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](https://github.com/glittercowboy/get-shit-done), specifically their [map-codebase workflow](https://github.com/glittercowboy/get-shit-done/blob/main/get-shit-done/workflows/map-codebase.md) and [gsd-codebase-mapper agent](https://github.com/glittercowboy/get-shit-done/blob/main/agents/gsd-codebase-mapper.md).
codemap | SkillHub