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Skill Creator

Community
HezaoHezao
skill-creator

Create, edit, and evaluate agent skills iteratively.

Overview

PublisherHezaoHezao
Repositorypoirot
Skill nameskill-creator
Stars
252
Forks
26
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HezaoHezao 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.
    https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/core/skill-creator
  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/HezaoHezao/poirot.git /tmp/poirot
mkdir -p .claude/skills
cp -r /tmp/poirot/poirot/backend/agents/skill/builtin_skills/core/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

A skill for creating new skills and iteratively improving them.

At a high level, the process of creating a skill goes like this:

  • Decide what you want the skill to do and roughly how it should do it
  • Write a draft of the skill (a SKILL.md with YAML frontmatter + Markdown body)
  • Create a few test prompts and run them with the skill injected
  • Help the user evaluate the results both qualitatively and quantitatively
  • Rewrite the skill based on feedback from the user's evaluation
  • Repeat until you're satisfied
  • Expand the test set and try again at larger scale

Your job when using this skill is to figure out where the user is in this process and then jump in and help them progress through these stages.

Poirot skill format

A Poirot skill lives in a directory containing SKILL.md:

skills/<category>/<skill-name>/SKILL.md      # user skills
poirot/backend/agents/skill/builtin_skills/<category>/<skill-name>/SKILL.md   # builtin

Frontmatter fields:

yaml
---
name: <skill-name>            # unique, lowercase-hyphenated
description: <≤60 char one sentence ending with a period>
allowed-tools:                # Poirot tools this skill may invoke
  - web_search
  - browse_page
  - bash
  - read_file
  - write_file
  - list_dir
  - str_replace
  - present_files
  - read_snapshot
enabled: true
related-skills: [<other-skill-name>]   # optional cross-references
license: MIT                  # recommended for contributed skills
author: <human contributor or source attribution>
---

Body: # <Skill> title, 2-3 sentence intro, ## When to Use, ## How to Run, ## Procedure, ## Pitfalls, ## Verification.

Authoring standards

  1. description ≤ 60 characters, one sentence, ends with a period. State the capability, not the implementation. No marketing words.
  2. Tools referenced in prose must be native Poirot tools (listed above) or MCP servers the skill explicitly expects. Do NOT name shell utilities the agent already has wrapped — grep → bash, cat/head/tail → read_file, sed/awk → str_replace, find/ls → list_dir.
  3. Scripts go in scripts/, references in references/, templates in templates/ inside the skill directory. Don't expect the model to inline-write non-trivial logic every call — ship a helper script.
  4. Keep the body focused: ~100 lines for a simple skill, ~200 for complex.

Iteration loop

  1. Draft SKILL.md
  2. Install via /skill install <path> (or place under skills/)
  3. Reload: /skill list should show it active
  4. Run test prompts; observe whether the skill's guidance is followed
  5. Revise frontmatter description for better triggering, body for clarity
  6. Repeat

Pitfalls

  • Description too long → dilutes model attention when many skills loaded
  • Naming shell utilities instead of Poirot tools → model hallucinates calls to non-existent tools
  • No ## When to Use section → model triggers skill on wrong tasks
  • Frontmatter with unknown fields → parser may ignore silently; stick to the schema above

Frequently asked questions

What does the Skill Creator AI skill do?

Create, edit, and evaluate agent skills iteratively.

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/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/core/skill-creator. TypingMind reads its SKILL.md 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?

Yes. It is published on GitHub by HezaoHezao 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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