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Create Skill

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tamdogood
create-skill

Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.

Overview

Publishertamdogood
Repositorybuilder-essential-skills
Skill namecreate-skill
Stars
225
Forks
8
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 tamdogood on GitHub. Read the source before you install it.

Installation

Install the Create Skill 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/tamdogood/builder-essential-skills/tree/main/skills/create-skill
  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/tamdogood/builder-essential-skills.git /tmp/builder-essential-skills
mkdir -p .claude/skills
cp -r /tmp/builder-essential-skills/skills/create-skill .claude/skills/create-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Skill 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 Create Skill 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 Create Skill 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.

Create Skill

Turn a skill idea into a complete, discoverable, and shippable skill folder. Treat the skill instructions, metadata, artwork, README wiring, and validation as one deliverable.

Workflow

  1. Orient the repository. Read AGENTS.md, the root README.md, the nearest existing skill with a similar purpose, and any local lessons file. Inspect package.json, skills.sh.json, the installer, and the existing assets/skill-cards/ and assets/skill-banners/ conventions before editing.

  2. Define the contract. Extract the skill slug, purpose, audience, trigger phrases, inputs, outputs, and acceptance checks from the request. Normalize the slug to lowercase hyphen-case. Preserve the user's terminology, but make the frontmatter description explicit about both the capability and the situations that should trigger it.

  3. Choose the smallest useful structure. Create only the resources the skill needs:

    • skills/<slug>/SKILL.md for the core workflow and routing rules.
    • skills/<slug>/agents/openai.yaml for display metadata and an explicit $<slug> default prompt.
    • skills/<slug>/references/ for detailed domain guidance that should load progressively.
    • skills/<slug>/scripts/ only for deterministic, repeatable automation.
    • skills/<slug>/assets/ only for files the skill will reuse in its outputs.
    • skills/<slug>/README.md because this repository documents every published skill.

    Keep SKILL.md under 500 lines. Put deep specifications and long examples in one-level-deep references and link them directly from the skill.

  4. Write the skill. Use imperative instructions. State the decision points, required tools, file paths, invariants, failure handling, and verification commands another agent cannot safely infer. Prefer a short workflow in SKILL.md and conditional links such as references/artwork.md for specialized work.

  5. Create the required artwork. In this repository, every new skill needs assets/skill-cards/<slug>.svg and a linked row in the root README's Pick a skill table. When the collection uses cinematic banners, also create assets/skill-banners/<slug>.webp and use the banner in the root and skill READMEs. Read references/artwork.md before creating either asset.

  6. Wire every discovery surface. Update all surfaces that explicitly enumerate skills: the root README card table, the skill README, skills.sh.json groupings, and any registry or installer allowlist discovered during orientation. Do not invent a new registry file. Confirm that package.json already includes the skills/ and assets/ trees; change it only if the package would otherwise omit the new files.

  7. Validate before handoff. Run the skill validator, parse the SVG, inspect the rendered card and banner, check every new README link, run the repository test suite, and run git diff --check. Review the diff for stale names, placeholder text, missing metadata, broken relative paths, untracked required assets, and accidental unrelated edits.

Skill content requirements

Include these sections when relevant:

  • Scope and trigger behavior: what the skill handles and what it should not handle.
  • Inputs and outputs: expected files, links, user decisions, and final artifacts.
  • Workflow: the smallest reliable sequence, with explicit branch points.
  • Resources: when to read each reference or run each script.
  • Validation: concrete commands and visual or semantic acceptance checks.
  • Failure handling: what to do when a tool, dependency, reference, or user choice is missing.

Never leave TODO markers, template prose, guessed tool names, or unsupported claims in a published skill. Avoid duplicating long reference material in SKILL.md.

Artwork routing

Use the built-in image-generation tool for a new raster banner. First inspect two or more existing banners and any user-provided reference images. Treat references as style and composition guidance, not as content to copy. Generate a wide cinematic scene with exact title text only when the tool can render it reliably; inspect the result and iterate on one targeted issue at a time. Save the final project asset as WebP and keep the SVG card deterministic and accessible.

For the detailed visual system, prompt template, composition rules, conversion commands, and review checklist, read references/artwork.md.

Validation commands

From the repository root, adapt these commands to the local toolchain:

bash
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/skill-creator/scripts/quick_validate.py" skills/<slug>
xmllint --noout assets/skill-cards/<slug>.svg
npm test
git diff --check

If a command is unavailable, use the repository's documented equivalent and report the substitution. Do not call the work complete while required files are untracked or a validation check is red.

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 Create Skill AI skill do?

Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.

Why use Create Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tamdogood/builder-essential-skills/tree/main/skills/create-skill. 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 Create Skill?

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 Create Skill?

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

Is the Create Skill AI skill free?

Yes. It is published on GitHub by tamdogood 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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