Skill Creator logo

Skill Creator

Organization
Cap-go
skill-creator

Guides the agent through authoring and validating agent skills. Use when creating new skill directories, tightening skill metadata, extracting supporting references, or preparing skillgrade evals. Do not use for general app documentation, generic README editing, or non-agentic library code.

Overview

PublisherCap-go
Repositorycapgo-skills
Skill nameskill-creator
Stars
71
Forks
4
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by Cap-go 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/Cap-go/capgo-skills.git /tmp/capgo-skills
mkdir -p .claude/skills
cp -r /tmp/capgo-skills/plugins/skill-authoring/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 Authoring Procedure

Create professional-grade skills with lean context, deterministic structure, and validation.

When to Use This Skill

  • User wants to create a new skill directory
  • User wants to improve a skill's discoverability or metadata
  • User wants to split large instructions into references or scripts
  • User wants to add or update skillgrade validation

Procedures

Step 1: Validate the Skill Metadata

Check that the frontmatter uses a unique lowercase name, a specific description, and clear negative triggers.

Keep the description short enough to fit within the agent router's metadata budget.

Step 2: Keep the Main Skill Lean

Write the main SKILL.md as a high-level workflow.

Move dense rules, large schemas, and reusable templates into references/ or assets/.

Use scripts/ only for fragile or repetitive logic that should not be re-authored by the agent.

Step 3: Match Command Context

Keep command examples aligned with how the skill will be consumed.

  • Use standard npm and npx examples in skill prose, public docs, and marketing copy unless the skill is specifically about Bun.
  • Use npx ...@latest for Capacitor and Capgo CLI examples so consumers get the expected package version.
  • Use bun, bun run, and bunx only for this repository's development commands, CI commands, or Bun-specific skills.
  • When a skill tells an agent to edit a target repository, tell it to read that repository's instructions and follow that repository's package-manager policy before executing commands.

Step 4: Use Progressive Disclosure

Command the agent to read supporting files only when the current step needs them.

Prefer one-level-deep support files with explicit relative paths.

When a skill depends on repository state that will differ at invocation time, prefer a guarded inline shell snapshot such as !`node -e "..."` instead of baking the current state into prose.

Only do this when the command materially improves the invoked prompt, and keep the output short and deterministic.

If a skill uses inline commands, declare the minimum required allowed-tools entries in frontmatter and keep them read-only.

Step 5: Add Validation

Create a skillgrade eval when the skill needs regression testing.

Use a deterministic grader for structural checks and an LLM rubric only when qualitative judgment is necessary.

Step 6: Review for Hallucination Gaps

Inspect the skill for any step where the agent is forced to guess.

Replace ambiguous prose with concrete commands, file names, or output expectations.

Step 7: Preserve Sensitive Values

When a skill edits user files, instruct the agent not to replace user-provided tokens, keys, certificates, passwords, or other secrets with placeholders unless the user explicitly asks.

Use placeholders for new generic examples only. Do not tell users to rotate secrets unless they explicitly ask for rotation guidance.

Error Handling

  • If a skill cannot be validated, reduce scope until the missing behavior becomes testable.
  • If the description is too broad, tighten the trigger text before adding more instructions.
  • If the supporting material grows too large, extract it into a separate file and point the agent to it explicitly.
  • If an inline command would require broad shell access or produce noisy output, keep the skill static and tell the agent to inspect the files explicitly instead.

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?

Guides the agent through authoring and validating agent skills. Use when creating new skill directories, tightening skill metadata, extracting supporting references, or preparing skillgrade evals. Do not use for general app documentation, generic README editing, or non-agentic library code.

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/Cap-go/capgo-skills/tree/main/plugins/skill-authoring/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 Cap-go. 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.

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