Skill Creator logo

Skill Creator

Community
koolamusic
skill-creator

Guide for creating effective skills. Use when creating a new skill, updating an existing skill, or verifying skills work before deployment. Covers skill structure, creation process, testing methodology, and packaging.

Overview

Publisherkoolamusic
Repositoryclaudefiles
Skill nameskill-creator
Stars
121
Forks
14
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 koolamusic 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/koolamusic/claudefiles/tree/main/skills/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/koolamusic/claudefiles.git /tmp/claudefiles
mkdir -p .claude/skills
cp -r /tmp/claudefiles/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

Create effective, tested skills that extend Claude's capabilities with specialized knowledge, workflows, and tools.

About Skills

Skills are modular packages that provide:

  1. Specialized workflows - Multi-step procedures for specific domains
  2. Tool integrations - Instructions for working with specific file formats or APIs
  3. Domain expertise - Company-specific knowledge, schemas, business logic
  4. Bundled resources - Scripts, references, and assets for complex tasks

Core Principles

Concise is Key

The context window is a public good. Only add context Claude doesn't already have. Challenge each piece: "Does Claude really need this?" Prefer concise examples over verbose explanations.

Set Appropriate Degrees of Freedom

  • High freedom (text instructions): Multiple approaches valid, context-dependent
  • Medium freedom (pseudocode/parameterized scripts): Preferred pattern exists, some variation OK
  • Low freedom (specific scripts): Fragile operations, consistency critical

Progressive Disclosure

Three-level loading to manage context efficiently:

  1. Metadata (name + description) - Always in context (~100 words)
  2. SKILL.md body - When skill triggers (<5k words, under 500 lines)
  3. Bundled resources - As needed (unlimited, loaded on demand)

Skill Anatomy

skill-name/
├── SKILL.md              # Required: frontmatter + instructions
├── scripts/              # Optional: executable code (Python/Bash)
├── references/           # Optional: docs loaded into context as needed
└── assets/               # Optional: files used in output (templates, icons)

SKILL.md Frontmatter

Only name and description are required. The description is the primary trigger — it determines when the skill loads.

yaml
---
name: my-skill
description: Use when [specific triggering conditions and symptoms]
---

Description rules:

  • Start with "Use when..." — focus on triggering conditions
  • Include specific symptoms, situations, and contexts
  • Write in third person
  • NEVER summarize the skill's workflow in the description (Claude may follow the summary instead of reading the full skill)

Bundled Resources

  • scripts/: Deterministic, reusable code. Token-efficient. Test by running them.
  • references/: Documentation Claude reads as needed. Keep SKILL.md lean by moving detailed info here. For large files (>10k words), include grep patterns in SKILL.md.
  • assets/: Files for output (templates, images, fonts). Not loaded into context.

Do NOT include: README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, or auxiliary docs about the creation process.

Creation Process

Step 1: Understand with Concrete Examples

Ask the user:

  • What should the skill support?
  • Example usage scenarios?
  • What triggers should activate this skill?

Step 2: Plan Reusable Contents

For each example, identify what scripts, references, and assets would help when executing these workflows repeatedly.

Step 3: Initialize the Skill

Create the skill directory with a SKILL.md containing frontmatter (name + description) and the appropriate resource subdirectories (scripts/, references/, assets/) as needed.

Step 4: Edit the Skill

Consult these guides based on your needs:

  • Multi-step processes: See references/workflows.md
  • Output formats/quality standards: See references/output-patterns.md
  • Official authoring guidance: See references/anthropic-best-practices.md

Start with reusable resources, then write SKILL.md. Use imperative/infinitive form.

Step 5: Validate & Package

Verify the skill has valid frontmatter (name + description, kebab-case name, under 1024 chars), then package with zip -r skill-name.skill skill-name/ if distributing.

Step 6: Iterate with TDD

Skill creation IS Test-Driven Development applied to process documentation.

Follow RED-GREEN-REFACTOR:

RED — Baseline test (before writing/editing the skill):

  1. Create pressure scenarios (3+ combined pressures for discipline skills)
  2. Run scenarios with a subagent WITHOUT the skill
  3. Document exact behavior: choices, rationalizations (verbatim), failures

GREEN — Write minimal skill:

  1. Address the specific rationalizations observed in RED
  2. Don't add content for hypothetical cases
  3. Run same scenarios WITH skill — agent should now comply

REFACTOR — Close loopholes:

  1. Identify new rationalizations from testing
  2. Add explicit counters for each
  3. Build rationalization table, red flags list
  4. Re-test until bulletproof

The Iron Law: No skill without a failing test first. This applies to new skills AND edits.

For the complete testing methodology (pressure scenarios, pressure types, plugging holes, meta-testing), see references/testing-skills-with-subagents.md.

For psychology of persuasion techniques in discipline-enforcing skills, see references/persuasion-principles.md.

Claude Search Optimization (CSO)

Future Claude needs to FIND your skill:

  1. Rich description — "Use when..." with concrete triggers and symptoms
  2. Keyword coverage — Error messages, symptoms, synonyms, tool names
  3. Descriptive naming — Verb-first, active voice (condition-based-waiting not async-test-helpers)
  4. Token efficiency — Frequently-loaded skills <200 words; move details to references

Skill Types & Testing

TypeExamplesTest With
Discipline (rules)TDD, verificationPressure scenarios, rationalization resistance
Technique (how-to)condition-based-waitingApplication + edge cases
Pattern (mental model)flatten-with-flagsRecognition + counter-examples
Reference (docs/APIs)API guidesRetrieval + application accuracy

Progressive Disclosure Patterns

Pattern 1: High-level guide linking to references for advanced features Pattern 2: Domain-specific organization (only load relevant domain file) Pattern 3: Conditional details (basic inline, advanced linked)

Keep references one level deep from SKILL.md. For files >100 lines, include a table of contents.

Common Mistakes

  • Descriptions that summarize workflow (Claude takes shortcut, skips body)
  • Narrative storytelling instead of reusable patterns
  • Multi-language dilution (one excellent example beats many mediocre ones)
  • Code in flowcharts (can't copy-paste)
  • Deeply nested references (keep one level deep)
  • Skipping testing ("obviously clear" to you != clear to agents)

Flowcharts

Use ONLY for non-obvious decisions, process loops, or A-vs-B choices. Never for reference material, code examples, or linear instructions.

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?

Guide for creating effective skills. Use when creating a new skill, updating an existing skill, or verifying skills work before deployment. Covers skill structure, creation process, testing methodology, and packaging.

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/koolamusic/claudefiles/tree/main/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 koolamusic 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇