Skill Creator logo

Skill Creator

Organization
7df-lab
skill-creator

Create, validate, and install agent skills - both markdown skills and Python-backed skills callable from the Python kernel. Use when the user asks to create a skill, turn a workflow, script, or prompt into a reusable skill, add a Python skill the agent can call, or asks how to write a SKILL.md and where skills live.

Overview

Publisher7df-lab
Repositorydevo
Skill nameskill-creator
Stars
341
Forks
139
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by 7df-lab 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/7df-lab/devo/tree/main/crates/skills/assets/bundled/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/7df-lab/devo.git /tmp/devo
mkdir -p .claude/skills
cp -r /tmp/devo/crates/skills/assets/bundled/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 is a directory with a SKILL.md file (YAML frontmatter + markdown instructions). At startup the agent reads only each skill's name and description into the system prompt; the full file loads on demand when a task matches. The agent follows the Agent Skills standard and extends it with Python-backed skills.

KindWhat it isWhen to use
markdownSKILL.md plus optional scripts, references, and assetsWorkflows, CLI recipes, domain knowledge, multi-step instructions
pythonA markdown skill that also ships a Python package installed into the agent's persistent Python kernelCapabilities that are naturally one Python call: API wrappers, fetchers, converters, computations

Before writing a Python-backed skill, read references/python-skills.md for the package contract.

Creating a Skill

  1. Pick the kind. Default to markdown. Go Python only when the agent should call the capability (await my_skill(...)) instead of following instructions.
  2. Pick the location. Ask the user when it is not obvious from context:
    • Project skill, shared via the repo: .devo/skills/<name>/ (or .agents/skills/<name>/)
    • Personal global skill: ~/.devo/skills/<name>/
    • Shipped with a plugin: the plugin's skills/ directory
  3. Scaffold and write the directory using the layout and frontmatter rules below.
  4. Verify the skill loads (see Verification).

On a name collision the first skill found wins. Precedence: explicit --skill paths and skills settings entries, then project, then global, then plugin, then built-in skills.

Layout

my-skill/
├── SKILL.md              # Required: frontmatter + instructions
├── scripts/              # Optional helper scripts the instructions reference
├── references/           # Optional detailed docs, loaded only when needed
└── assets/               # Optional templates and data files

Everything except SKILL.md is freeform. Reference files with paths relative to the skill directory; the agent resolves them against the directory containing SKILL.md.

Frontmatter

markdown
---
name: my-skill
description: What this skill does and when to use it. Be specific.
---
FieldRequiredRules
nameYesMax 64 chars. Lowercase a-z, 0-9, hyphens. No leading/trailing/consecutive hyphens. Must match the parent directory name.
descriptionYesMax 1024 chars. A skill with a missing or empty description is silently not loaded.
disable-model-invocationNotrue hides the skill from the system prompt; only explicit /skill:<name> invokes it.
licenseNoLicense name or reference to a bundled file.
compatibilityNoMax 500 chars. Environment requirements.
metadataNoArbitrary key-value mapping.
allowed-toolsNoSpace-delimited pre-approved tools (experimental).

Unknown fields are ignored. Name violations produce warnings but the skill still loads.

Write the description for routing

The description is the only thing the model sees before deciding to load the skill. State what the skill does and the trigger conditions ("Use when ..."), naming the concrete tasks, tools, and phrases a request would contain.

Good: Extracts text and tables from PDF files, fills PDF forms, and merges PDFs. Use when working with PDF documents. Poor: Helps with PDFs.

Write the body for progressive disclosure

Keep SKILL.md short: the decision flow, the common commands, the contract. Push exhaustive detail (API schemas, full option lists, long examples) into references/*.md and link them, so they only enter context when actually needed. State setup steps (installs, env vars, credentials) explicitly and early.

Verification

After writing the skill:

  1. Re-read the frontmatter and check every rule in the table above, especially that name matches the directory name and the description is non-empty.
  2. In an interactive session, /reload picks up new skills without a restart; other sessions pick them up on start. Loading problems (bad name, missing description, name collisions) surface as warnings — ask the user to check, or check diagnostics yourself if you can.
  3. A loaded skill is also invocable as /skill:<name>, which the user can try directly.

For Python-backed skills, also run the checks in references/python-skills.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 Skill Creator AI skill do?

Create, validate, and install agent skills - both markdown skills and Python-backed skills callable from the Python kernel. Use when the user asks to create a skill, turn a workflow, script, or prompt into a reusable skill, add a Python skill the agent can call, or asks how to write a SKILL.md and where skills live.

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/7df-lab/devo/tree/main/crates/skills/assets/bundled/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?

Yes. It is published on GitHub by 7df-lab 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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