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Skills Create

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coleam00
skills-create

Author a new Claude Code skill the house way, or refactor a fat skill into a lean SKILL.md + references/. Use when you want to "create a skill", "write a new skill", "turn a prompt or command into a skill", "split a skill into references", "trim a SKILL.md", or invoke /skills-create. The meta-skill — a skill that builds skills.

Overview

Publishercoleam00
Repositoryskills
Skill nameskills-create
Stars
678
Forks
184
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by coleam00 on GitHub. Read the source before you install it.

Installation

Install the Skills Create 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/coleam00/skills/tree/main/.claude/skills/skills-create
  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/coleam00/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/.claude/skills/skills-create .claude/skills/skills-create
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skills Create 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 Skills Create 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 Skills Create 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.

Skills Create — the meta-skill

A skill that authors and refactors skills. Two jobs:

  • Create a new skill from scratch (or from an existing prompt/command).
  • Refactor a fat skill — split detail into references/, move output shapes into templates/, trim SKILL.md down to a lean spine of pointers.

It's built the way it teaches: a lean body that defers detail to references/. That's progressive disclosure, and this skill is its own worked example. It's all composable markdown: a skill is a SKILL.md plus optional files the agent loads only when it reaches for them.

Prescribe the craft, not the content

Be strict on how a skill is built and agnostic on what any given skill — or its output — should contain.

  • Prescribe (firm, universal): progressive disclosure · a third-person, trigger-rich description · an imperative, lean body · no duplication · every bundled file wired · deliberate invocation control · validation that fits the skill type. (See references/skill-standards.md.)
  • Do NOT prescribe (the author's call): the sections a plan/PRD/report should have, the domain vocabulary, the output shape, which phases exist. There is no canonical output — guide the author to a good decision, never hand them a fixed one.

Strict on the craft so the author stays free on the content. (Guide, don't prescribe — and take-vs-build: you build a skill when you own the process and want it to follow YOUR way.)

Classify the skill first

Pin the type before applying the craft — the guidance is proportional, not one-size-fits-all:

TypeWhat it isApply
Workflowa multi-step procedure (plan, review, ship)the full lens incl. verifiable validation gates
Artifact-generatorproduces a document/outputContext-is-King + a suggested (never mandated) output shape
Knowledge / referencefacts the agent consultsContext-is-King + information-dense; no phases, no validation loop
Tool-wrapperdrives a script / CLI / APIa deterministic script + sharp triggers; validation = the tool's own exit code

A skill can blend types — apply the union of what fits. Never force a workflow's machinery (phases, loops, output skeletons) onto a knowledge skill. Full detail: references/skill-standards.md → Skill types.

Step 0 — pick the mode (from $ARGUMENTS)

Parse $ARGUMENTS to pick the mode and the target:

  • Starts with create [<name>] (or is clearly a new-skill ask) → create mode; use <name> as the skill name if one was given → follow references/creating-skills.md.
  • Starts with refactor <path/to/SKILL.md> (or points at an existing skill) → refactor mode on that path → follow references/refactoring-skills.md.
  • Blank or unclear → ask which mode and what the skill/target is. Don't guess.

Both modes obey the same craft rules → read references/skill-standards.md first.

Create — quick spine (full detail: references/creating-skills.md)

  1. Gather context — the literal phrases that should trigger it, the task start-to-finish, the gotchas, the patterns to mirror. Ask the user; don't write yet.
  2. Plan the resources — what repeats → scripts/; what informs the work → references/; what shapes the output → templates/; what you don't own / changes upstream → cite a path/URL; what only exists at runtime → gather it (ask the user, read git/codebase).
  3. Scaffold — copy templates/SKILL.template.md to .claude/skills/<name>/SKILL.md; add references/ / templates/ only as the plan needs.
  4. Write the spine first — third-person trigger-rich description; imperative, lean body; push detail to references. Get it triggering before you write the references.
  5. Validate & iterate — references/validation.md (checklist → trigger test → run it for real).

Refactor — quick spine (full detail: references/refactoring-skills.md)

  1. Inventory the SKILL.md — mark each block spine (keep) vs extractable (output templates, schemas, long examples, exhaustive pattern/edge-case lists).
  2. Extract verbatim into the target skill's references/ (or templates/ for output shapes) — don't reword anything that affects behavior.
  3. Replace with a pointer — for always-needed content, a mandatory-read line ("Before producing output, read templates/<x>.md"); for sometimes-needed content, a lazy pointer.
  4. Behavior-preservation check — same process, same output as before. Nothing lost, nothing duplicated.
  5. Validate — references/validation.md.

The #1 refactor risk: moving an always-needed output format into a lazily-loaded reference, so the agent forgets to read it and the output silently changes. Always pair such an extraction with a mandatory-read line.

When to build a skill at all

Build one when you own a process and want the agent to follow your way of it, repeatedly — the take-vs-build rule. A rough threshold: you've prompted the same thing ~3 times (the Rule of Three) → bank it as a skill. Don't build a skill for a one-off, or for a tool whose owner already ships a good one.

Resources

  • references/skill-standards.md — the craft rules: skill types, anatomy, context sources, frontmatter spec, progressive disclosure, writing voice, no-duplication, "structure implies a maintainer", wiring, portability.
  • references/creating-skills.md — the full create runbook (incl. porting an existing prompt/command).
  • references/refactoring-skills.md — the full split-and-trim runbook, with a before/after.
  • references/validation.md — the validation gates (structure · description · body · disclosure · behavior · trigger test).
  • templates/SKILL.template.md — the lean SKILL.md skeleton to scaffold from.

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 Skills Create AI skill do?

Author a new Claude Code skill the house way, or refactor a fat skill into a lean SKILL.md + references/. Use when you want to "create a skill", "write a new skill", "turn a prompt or command into a skill", "split a skill into references", "trim a SKILL.md", or invoke /skills-create. The meta-skill — a skill that builds skills.

Why use Skills Create on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coleam00/skills/tree/main/.claude/skills/skills-create. 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 Skills Create?

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 Skills Create?

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

Is the Skills Create AI skill free?

Yes. It is published on GitHub by coleam00 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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