Skill Creator logo

Skill Creator

Community
JasonxzWen
skill-creator

Load when creating, updating, adapting, or evaluating a standard agent skill; do not load for ordinary documentation edits or one-off prompt advice.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill nameskill-creator
Stars
71
Forks
0
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Skill Creator 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.
  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/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/skill-creator .claude/skills/skill-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Creator 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 Skill Creator 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 Skill Creator 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.

Skill Creator

Use this skill to create or improve a standard skill folder with SKILL.md plus optional references/, scripts/, and assets/.

Creation Workflow

  1. Define the trigger contract: real user phrases, positive cases, negative cases, and forbidden loads.
  2. Decide whether a skill is warranted. Prefer project docs or root instructions when the behavior is broad, obvious, or already covered.
  3. Budget context load before choosing invocation. A model-routed description is present in the Host's initial Skill inventory, so each word and each new Skill must earn its recurring cost; side-effect-heavy or rarely used Skills stay explicit-only.
  4. Write a concise description that front-loads a useful leading word, starts from user intent, includes the nearest dangerous overlap, and avoids workflow internals or duplicate synonyms.
  5. Give every ordered step a checkable completion criterion. State the evidence that distinguishes complete from merely attempted, especially where premature completion would be costly.
  6. Keep SKILL.md short. Move branch-specific examples, schemas, API tables, templates, or scripts behind precise context pointers in spokes.
  7. Record source, license, and upstream commit when adapting third-party material.
  8. Register the Skill in the install graph only after path, routing, overlap, and risk are clear.
  9. Validate with the repository's nearest Skill validator, routing tests, install checks, and the declared completion criteria.

Quality Gates

  • The skill changes agent behavior in a recurring, bounded way.
  • The name is lowercase hyphen-case and matches the folder.
  • The description is narrow enough to avoid trigger noise.
  • The body contains decisions and gotchas, not generic advice.
  • Heavy or volatile content uses progressive disclosure.
  • Side-effect-heavy workflows are explicit-only until safety boundaries are documented.
  • Each meaning has one canonical owner; references point to it instead of restating it.

Pruning Gate

Run the no-op test on the Skill and then on each sentence: if removing it would not change recurring agent behavior, delete it instead of polishing it. Reject or remove the Skill when project instructions, an existing Skill, or a native Host capability already produces the same behavior.

Split only when a branch has an independently useful trigger or later steps repeatedly cause premature completion. Do not split merely to shorten a file; progressive disclosure is cheaper than another model-routed description.

Evaluation Story

Before making a skill default-route material, capture at least:

  • positive routing cases;
  • negative routing cases;
  • forbidden-load cases;
  • one progressive-loading case for each spoke file that matters;
  • one completion check showing the workflow reaches the intended output.

Use the active project's skill-quality rules when they exist.

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 Skill Creator AI skill do?

Load when creating, updating, adapting, or evaluating a standard agent skill; do not load for ordinary documentation edits or one-off prompt advice.

Why use Skill Creator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/skill-creator. 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 Skill Creator?

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 Skill Creator?

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

Is the Skill Creator AI skill free?

It is published on GitHub by JasonxzWen. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇