Map

CommunityPopular

Yeachan-Heo

map

The yard's skill map — which skill owns which job, in delivery-loop order. Use when something needs doing but not which of the shipped skills owns it; the map routes, it never executes.

Overview

Publisher	Yeachan-Heo
Repository	`oh-my-claudecode`
Skill name	`map`
Stars	39.8K
Forks	3.6K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Yeachan-Heo on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/map
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.

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/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/map .claude/skills/map

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Map 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 Map 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 Map 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.

Map

You know something needs doing; you do not know which skill owns it. Find the job below and follow its route. Most routes call the Skill tool; a route marked manual gives you the slash command to invoke yourself because model invocation is disabled. The map routes and explains nothing twice — each routed skill owns its own doctrine.

The delivery loop

You are here	Skill
External work arrived (issues, PRs, reports)	`harbor`
A non-engineer handed you a chat log as requirements	`intent`
The destination is foggy — the first three decisions cannot be stated yet	`ask-navigator`
Vague idea; questions must come before anything else	`deep-interview`
Requirements are clear; you need a plan	`plan` (multi-perspective consensus: `ralplan`)
Approved plan; decompose and ship end to end with human checkpoints	`launch`
One task; persistence until verified complete	`ralph`
Hands-off idea-to-code	`autopilot`
Work needs coordinated parallel workers	`team`
One approved task carried through verified code	`execute`
A design question prose cannot settle	`loft`
Finished work needs judgment	`review`
Something claims to be done	`verify`
Work is landing as a PR	`pr`
The run taught the environment something	`refit`

On-ramps (off the main loop)

Job	Skill
A bug needs its root cause	`debug`; competing-hypothesis tracing: `trace`
Tests should drive the implementation	`tdd`
The codebase is getting harder to change	`architecture-survey`
AI-generated slop needs cleanup	`ai-slop-cleaner`
An open question needs grounded answers	`research`; external docs: `external-context`
Knowledge should compound across sessions	`wiki`; durable project memory: `remember`
A recurring autonomous improvement loop	`self-improve`; durable goal ledger: `ultragoal`
A session needs reorientation across its pivots and outcomes	`session-flow` — run `/oh-my-claudecode:session-flow` manually
Visual work needs verdicts or diagrams	`visual-verdict`; `diagram`

Utilities

Job	Skill
Install, diagnose, configure	`omc-setup`; `omc-doctor`; `configure-notifications`
Manage skills themselves	`skill` (local); `skillify` (extract from session)
Inspect orchestration state	`trace` (also the tracing lane); `graph` (DAG runtime)
Cancel a mode	`cancel`

Rules

The map routes; it never executes. Each ordinary row resolves to one Skill-tool call — make it, then follow that skill's doctrine. For a manual-only route, show the user its slash command; do not try to call the Skill tool.
When two rows both fit, the delivery loop above is the tiebreak: earlier legs come first.
Phase boundaries (continue / re-enter from disk / hand off / compact) are defined in launch's Context hygiene — the map does not restate them.
A job matching no row is itself information: say so plainly rather than picking the nearest-sounding skill.

Frequently asked questions

What does the Map AI skill do?

The yard's skill map — which skill owns which job, in delivery-loop order. Use when something needs doing but not which of the shipped skills owns it; the map routes, it never executes.

Why use Map on TypingMind?

Because you install it once and use it with any model. Map 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 Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/map. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Map?

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 Map?

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

Is the Map AI skill free?

Yes. It is published on GitHub by Yeachan-Heo under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Map

The delivery loop

On-ramps (off the main loop)

Utilities

Rules

Frequently asked questions

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