Execute

CommunityPopular

Yeachan-Heo

execute

Carry an approved task through to working, verified code

Overview

Publisher	Yeachan-Heo
Repository	`oh-my-claudecode`
Skill name	`execute`
Stars	39.2K
Forks	3.5K
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 Execute 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.
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/execute .claude/skills/execute

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

Use it in TypingMind

Enable Execute 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 Execute 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 Execute 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.

Execute

Use this skill when the work is understood and the job is to build it.

This is the canonical execution workflow. autopilot, ralph, ultragoal, ultrapilot, pipeline, and swarm route here.

Goal

Take a task from agreed intent to working code, with evidence that it works.

Workflow

Confirm the task is clear enough to build. If it is not, plan first.
Break the work into independent units; run genuinely independent units in parallel.
Implement the smallest correct change per unit, reusing existing utilities and patterns.
Verify as you go, not only at the end.
Report what changed, what was verified, and what remains.

Scale

Match the machinery to the task:

Single unit — implement directly, verify, done.
Several independent units — delegate to executor agents in parallel.
Long-running or unbounded — keep a durable task list and continue until the list is empty.
Needs coordinated parallel workers — use team.

Do not spin up coordination for work that one focused pass would finish.

Rules

Prefer deletion over addition when behavior is preserved.
Do not add dependencies without an explicit request.
Keep diffs small and reversible.
Placeholder TODOs, test.skip, and stub tests are blockers, not progress.
Authoring and approval are separate passes — do not self-approve; hand off to review or verify.

Completion

Before claiming done:

No pending tasks
Tests pass, or failures are reported plainly
Verification evidence collected

Output

Files changed
What was implemented
Evidence it works
What is still open

Frequently asked questions

What does the Execute AI skill do?

Carry an approved task through to working, verified code

Why use Execute on TypingMind?

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

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

Which AI models can use Execute?

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 Execute?

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

Is the Execute 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

Execute

Goal

Workflow

Scale

Rules

Completion

Output

Frequently asked questions

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