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Codemap

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akitaonrails
codemap

Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or initial repository mapping

Overview

Publisherakitaonrails
Repositorymy-skills
Skill namecodemap
Stars
268
Forks
31
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by akitaonrails on GitHub. Read the source before you install it.

Installation

Install the Codemap AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/akitaonrails/my-skills/tree/master/codemap
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/akitaonrails/my-skills.git /tmp/my-skills
mkdir -p .claude/skills
cp -r /tmp/my-skills/codemap .claude/skills/codemap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codemap in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codemap on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codemap is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Codemap Skill

You help users understand and map repositories by creating hierarchical codemaps.

When to Use

  • User asks to understand/map a repository
  • User wants codebase documentation
  • Starting work on an unfamiliar codebase

Workflow

Step 1: Check for Existing State

First, check if .slim/codemap.json exists in the repo root.

If it does not exist, check for legacy state at .slim/cartography.json.

If legacy state exists: move .slim/cartography.json to .slim/codemap.json, then continue with change detection.

If .slim/codemap.json exists: Skip to Step 3 (Detect Changes) - no need to re-initialize.

If neither file exists: Continue to Step 2 (Initialize).

Step 2: Initialize (Only if no state exists)

  1. Analyze the repository structure - List files, understand directories
  2. Infer patterns for core code/config files ONLY to include:
    • Include: src/**/*.ts, package.json, etc.
    • Exclude (MANDATORY): Do NOT include tests, documentation, or translations.
      • Tests: **/*.test.ts, **/*.spec.ts, tests/**, __tests__/**
      • Docs: docs/**, *.md (except root README.md if needed), LICENSE
      • Build/Deps: node_modules/**, dist/**, build/**, *.min.js
    • Respect .gitignore automatically
  3. Run codemap.mjs init:
bash
node ~/.config/opencode/skills/codemap/scripts/codemap.mjs init \
  --root ./ \
  --include "src/**/*.ts" \
  --exclude "**/*.test.ts" --exclude "dist/**" --exclude "node_modules/**"

This creates:

  • .slim/codemap.json - File and folder hashes for change detection
  • Empty codemap.md files in all relevant subdirectories
  1. Delegate codemap writing to Fixer agents - Spawn one fixer per folder to read code and create or update its specific codemap.md file.

Step 3: Detect Changes (If state already exists)

  1. Run codemap.mjs changes to see what changed:
bash
node ~/.config/opencode/skills/codemap/scripts/codemap.mjs changes \
  --root ./
  1. Review the output - It shows:

    • Added files
    • Removed files
    • Modified files
    • Affected folders
  2. Only update affected codemaps - Spawn one fixer per affected folder to update its codemap.md.

  3. Run update to save new state:

bash
node ~/.config/opencode/skills/codemap/scripts/codemap.mjs update \
  --root ./

Step 4: Finalize Repository Atlas (Root Codemap)

Once all specific directories are mapped, the Orchestrator must create or update the root codemap.md. This file serves as the Master Entry Point for any agent or human entering the repository.

  1. Map Root Assets: Document the root-level files (e.g., package.json, index.ts, plugin.json) and the project's overall purpose.
  2. Aggregate Sub-Maps: Create a "Repository Directory Map" section. For every folder that has a codemap.md, extract its Responsibility summary and include it in a table or list in the root map.
  3. Cross-Reference: Ensure that the root map contains the absolute or relative paths to the sub-maps so agents can jump directly to the relevant details.

Step 5: Register Codemap in AGENTS.md

OpenCode auto-loads AGENTS.md into agent context on every session. To ensure agents automatically discover and use the codemap, update (or create) AGENTS.md at the repo root:

  1. If AGENTS.md already exists and already contains a ## Repository Map section, skip this step — the reference is already set up.
  2. If AGENTS.md exists but has no ## Repository Map section, append the section below.
  3. If AGENTS.md doesn't exist, create it with the section below.
markdown
## Repository Map

A full codemap is available at `codemap.md` in the project root.

Before working on any task, read `codemap.md` to understand:
- Project architecture and entry points
- Directory responsibilities and design patterns
- Data flow and integration points between modules

For deep work on a specific folder, also read that folder's `codemap.md`.

This is idempotent — repeated codemap runs will detect the existing section and skip. No duplication.

Codemap Content

Fixers are responsible for writing codemap.md files during this workflow. Use precise technical terminology to document the implementation:

  • Responsibility - Define the specific role of this directory using standard software engineering terms (e.g., "Service Layer", "Data Access Object", "Middleware").
  • Design Patterns - Identify and name specific patterns used (e.g., "Observer", "Singleton", "Factory", "Strategy"). Detail the abstractions and interfaces.
  • Data & Control Flow - Explicitly trace how data enters and leaves the module. Mention specific function call sequences and state transitions.
  • Integration Points - List dependencies and consumer modules. Use technical names for hooks, events, or API endpoints.

Example codemap:

markdown
# src/agents/

## Responsibility
Defines agent personalities and manages their configuration lifecycle.

## Design
Each agent is a prompt + permission set. Config system uses:
- Default prompts (orchestrator.ts, explorer.ts, etc.)
- User overrides from ~/.config/opencode/oh-my-opencode-slim.json
- Permission wildcards for skill/MCP access control

## Flow
1. Plugin loads → calls getAgentConfigs()
2. Reads user config preset
3. Merges defaults with overrides
4. Applies permission rules (wildcard expansion)
5. Returns agent configs to OpenCode

## Integration
- Consumed by: Main plugin (src/index.ts)
- Depends on: Config loader, skills registry

Example Root Codemap (Atlas):

markdown
# Repository Atlas: oh-my-opencode-slim

## Project Responsibility
A high-performance, low-latency agent orchestration plugin for OpenCode, focusing on specialized sub-agent delegation and multiplexer-assisted child sessions.

## System Entry Points
- `src/index.ts`: Plugin initialization and OpenCode integration.
- `package.json`: Dependency manifest and build scripts.
- `oh-my-opencode-slim.json`: User configuration schema.

## Directory Map (Aggregated)
| Directory | Responsibility Summary | Detailed Map |
|-----------|------------------------|--------------|
| `src/agents/` | Defines agent personalities (Orchestrator, Explorer) and manages model routing. | [View Map](src/agents/codemap.md) |
| `src/features/` | Core logic for tmux integration and session state. | [View Map](src/features/codemap.md) |
| `src/config/` | Implements the configuration loading pipeline and environment variable injection. | [View Map](src/config/codemap.md) |

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codemap AI skill do?

Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or initial repository mapping

Why use Codemap on TypingMind?

Because you install it once and use it with any model. Codemap is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codemap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/akitaonrails/my-skills/tree/master/codemap. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Codemap?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codemap?

As many as you like. As long as a model supports skills, you can use Codemap with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codemap AI skill free?

It is published on GitHub by akitaonrails. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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