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Skill Creator

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ryoppippi
skill-creator

Guides authoring agent-facing instructions following Anthropic's SKILL.md best practices. Use when adding or editing skills under `agents/skills/`, the global instructions in `agents/AGENTS.md`, or the `agents/shared/` fragments — frontmatter, references, and routing included.

Overview

Publisherryoppippi
Repositorydotfiles
Skill nameskill-creator
Stars
263
Forks
5
Bundled files
2
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.

  • 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 ryoppippi 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/ryoppippi/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/agents/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 when creating or updating local skills under agents/skills/ in this dotfiles repo. They are deployed to ~/.agents/skills/ and ~/.config/claude/skills/ via nix/modules/home/agent-skills.nix (auto-enabled by skills.enableAll = [ "local" ]).

The Body and Documentation references sections below apply to every agent-facing instruction file here, not just skills: agents/AGENTS.md, agents/shared/*.md, and this repository's own AGENTS.md. Global instructions are loaded on every session, so they are the least forgiving place to be verbose — keep them to judgement the agent cannot derive on its own.

Workflow

  1. Decide whether a new skill is needed. Add one only when repeated work needs a specialised workflow, local references, command sequences, or policy that should trigger on demand. Otherwise extend an existing skill.
  2. Create or update agents/skills/<skill-name>/SKILL.md with YAML frontmatter and concise Markdown.
  3. Keep SKILL.md focused on workflow and navigation. Move detailed examples, APIs, or long checklists into references/*.md linked directly from SKILL.md.
  4. Add scripts under scripts/ for deterministic, repeated, or fragile operations — see the Scripts section below for when a script beats inline commands.
  5. Stage only the skill directory and deploy: git add agents/skills/<skill-name> && nix run .#switch. Avoid git add . so unrelated working-tree changes (especially nix/modules/home/programs/codex.nix, which can contain private repo names) are not picked up. agent-skills.nix enables every directory under local automatically — no allow-list edit needed.

Frontmatter

Required fields:

https://docs.claude.com/en/docs/agents-and-tools/agent-skills/best-practices

yaml
---
name: skill-name
description: One or two sentences. What the skill does and when to use it.
---

Constraints:

  • name: max 64 chars, lowercase letters / numbers / hyphens only, no anthropic or claude.
  • description: max 1024 chars, non-empty, third person, no XML tags. Include both what and when. Frontmatter is always loaded, so keep it tight — aim for ~20-35 words (~100-250 chars).

Good:

yaml
description: Creates atomic Conventional Commits. Use when committing code changes, splitting hunks into revertable units, or writing detailed commit messages.

Bad:

yaml
# Vague
description: Helps with commits.
# First person
description: I can help you write commits.
# Way too long, no clear trigger
description: This skill is a comprehensive commit assistant that analyses changes and produces beautifully formatted commit messages following all the best practices...

Body

Keep the body procedural and repo-specific:

  • Commands to run, with exact flags.
  • Files or references to read.
  • Local conventions that are easy to miss.
  • Validation expected after changes.
  • Small good/bad examples that prevent common mistakes.

Avoid explaining generic concepts the model already knows. Aim for under 500 lines; split larger content into references/.

Rules that are easy to violate without noticing:

Documentation references

Don't paste large chunks of external docs into the skill — they go stale and cost tokens. Point at the authoritative source instead:

  • When a URL is self-descriptive, include the URL directly without adding a title or summary.

  • Public docs: include the canonical docs URL (e.g. https://vitest.dev/api/) so the agent can fetch the current version when needed.

  • Installed libraries: if the skill is about a package present in node_modules/, instruct the agent to read the docs the package ships locally — they match the installed version and need no network. Many packages now publish docs on npm for exactly this.

https://ryoppippi.com/blog/2025-12-14-publish-docs-on-npm-en

markdown
For API details, read `node_modules/<package-name>/README.md`
(or `node_modules/<package-name>/docs/**/*.md` if the package ships a docs folder).

Find them with fd README.md node_modules/<package-name> or fd -e md . node_modules/<package-name>/docs.

  • CLI tools: never transcribe usage, flags, or subcommands — the agent can run <tool> --help itself, and a copy goes stale. Write the judgement the help output cannot give (when to reach for the tool, which of several tools to pick, what not to do with it) and point at <tool> --help for the mechanics.

    markdown
    Clone it with `ghq` instead of `git clone` into `/tmp`. See `ghq --help` for usage.
  • Relevant repo files (local skills only): if concrete files in this repo are the source of truth for the skill, list them by path so the agent reads the real thing instead of a stale copy. The vitest-testing skill's Key Files section is the model — it names vitest.setup.ts, test-db.ts, etc. by path.

Overlap between skills

When two skills cover related ground, prefer the lightest fix that removes the duplication:

  1. Cross-link — if each skill is still distinct but they touch, link them by name rather than copying text. E.g. vitest-testing says "Use the tdd skill when …". The shared detail lives in one skill; the other points to it.
  2. Merge — only when the skills are genuinely the same workflow and neither earns its own trigger. Fold one into the other and delete the empty directory.

Never paste the same instructions into two skills — pick a single home and link to it.

Dynamic context

Use !`command` inside fenced blocks to inject live state (current branch, tool version, detected test runner). Prefer dynamic blocks for environment info; keep static text for workflow steps and best practices.

https://code.claude.com/docs/en/skills#inject-dynamic-context

References

Two thresholds for SKILL.md length:

  • ~150 lines — consider splitting. Once the body passes this, it is usually no longer a tight, scannable workflow. Move conditional or long-form detail into references/*.md. The vitest-testing skill is the model: a ~50-line SKILL.md that routes to ten focused references/*.md files.
  • ~500 lines — hard ceiling (Anthropic guidance). Never exceed this; split aggressively before you get here.

Reference files load only when the agent follows the link, so splitting keeps the always-loaded surface small without losing detail. When a skill passes the soft threshold, or when deciding whether a section earns its own file, read references/splitting.md.

Scripts

When an operation is deterministic and repeated, add a script under scripts/ — it is executed, not loaded, so only its stdout costs tokens. For when to use one and the rules (execution intent, shebangs, error handling, no magic constants), read references/scripts.md.

Token budget

Skill metadata (name + description across all skills) is preloaded into the system prompt. If Codex or Claude reports descriptions were trimmed to fit the skills context budget, shorten descriptions first, then disable unused skills in agent-skills.nix.

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 authoring agent-facing instructions following Anthropic's SKILL.md best practices. Use when adding or editing skills under `agents/skills/`, the global instructions in `agents/AGENTS.md`, or the `agents/shared/` fragments — frontmatter, references, and routing included.

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/ryoppippi/dotfiles/tree/main/agents/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?

Yes. It is published on GitHub by ryoppippi 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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