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Skill Authoring

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rohitg00
skill-authoring

Creates and structures SKILL.md files for AI coding agents, including YAML frontmatter, trigger phrases, directive instructions, decision trees, code examples, and verification checklists. Use when the user asks to write a new skill, create a skill file, author agent capabilities, generate skill documentation, or define a skill template for Claude Code agents.

Overview

Publisherrohitg00
Repositoryskillkit
Skill nameskill-authoring
Stars
1.5K
Forks
147
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Skill Authoring 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/rohitg00/skillkit.git /tmp/skillkit
mkdir -p .claude/skills
cp -r /tmp/skillkit/packages/core/src/methodology/packs/meta/skill-authoring .claude/skills/skill-authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Authoring 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 Authoring 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 Authoring 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 Guide

You are authoring a SKILL.md for an AI coding agent. A well-written skill provides clear, actionable guidance that agents can follow consistently.

Core Principle

A skill's description triggers it; the body teaches it.

The description tells the agent WHEN to use the skill. The content tells the agent HOW to execute it.

Skill Anatomy

SKILL.md Structure

markdown
---
name: [lowercase-hyphenated-name]
description: [Concrete actions + "Use when..." clause]
version: [Semantic version]
triggers:
  - [keyword 1]
  - [keyword 2]
tags:
  - [tag 1]
---

# [Skill Title]

[Introduction paragraph explaining purpose]

## Core Principle

**[Single most important rule in bold]**

## [Main Content Sections]

## [Decision Points]

## [Verification Checklist]

Frontmatter Fields

FieldRequiredConstraints
nameYesLowercase alphanumeric + hyphens, 1–64 chars
descriptionYesMust include "Use when..." clause; 1–1024 chars
versionYesSemantic version (e.g. 1.0.0)
triggersRecommendedNatural-language phrases that activate the skill
tagsRecommendedCategorization tags

Writing Effective Triggers

Triggers should be phrases users naturally type.

Good triggers:

  • "write tests first"
  • "tdd"
  • "test driven development"

Bad triggers:

  • "testing methodology" (too vague)
  • "red-green-refactor-cycle-for-test-driven-development" (too specific)
  • "skill-123" (not natural language)

Trigger Guidelines

  1. Natural language — How would a human ask for this?
  2. Multiple variations — Different ways to say the same thing
  3. Specific enough — Don't trigger on too many queries
  4. Common terms — Use terms people actually use

Writing Skill Content

Voice and Tone

Use second person, present tense, active voice:

  • ✅ "Write the test first"
  • ✅ "You are implementing TDD"
  • ❌ "The developer should..." (passive)
  • ❌ "It is recommended that..." (wordy)

Structure Guidelines

  1. Start with context — What is the agent doing and why
  2. State the core principle — Most important rule upfront
  3. Provide process — Step-by-step guidance
  4. Include examples — Concrete illustrations
  5. Add a checklist — Verification criteria
  6. End with integration — How this connects to other skills

Directive Language

StrengthExamples
Strong (critical rules)"You MUST…", "ALWAYS…", "NEVER…", "Do NOT…"
Soft (recommendations)"Prefer…", "Consider…", "When possible…"

Content Patterns

Decision Trees

markdown
## Decision: [What to Decide]

If [condition A]:
→ [Action for A]

If [condition B]:
→ [Action for B]

If uncertain:
→ [Default action]

Process Steps

markdown
### Step 1: [Action]

[Detailed explanation]

**Verification:** [How to know step is complete]

### Step 2: [Action]
...

Code Examples

typescript
// BAD
const result = doTheThing(badInput);

// GOOD
const validated = validate(input);
const result = doTheThing(validated);

Anti-Patterns to Avoid

Anti-patternProblemFix
The EncyclopediaToo much info, agent gets lostFocus on actionable guidance only
The Vague Guide"Consider best practices"Be specific: "Use Arrange-Act-Assert"
The Constraint-Free SkillNo clear rules, agent improvisesInclude explicit constraints
The MonologueWall of textUse headers, lists, tables, code blocks
The Outdated SkillReferences deprecated patternsVersion skills and review periodically

Skill Testing

Before publishing, verify:

  1. Trigger test — Does it activate on expected phrases?
  2. Completeness test — Can the agent follow it without external info?
  3. Clarity test — Is every instruction unambiguous?
  4. Contradiction test — No conflicting guidance?
  5. Edge case test — Handles unusual situations?

Pack Organization

Group related skills under a named pack directory. See PACKS.md for full pack manifest format and filesystem conventions.

packs/
├── testing/
│   ├── pack.json
│   ├── red-green-refactor/
│   │   └── SKILL.md
│   └── test-patterns/
│       └── SKILL.md

Skill Maintenance

See MAINTENANCE.md for detailed versioning policy. Quick reference:

Version increments:

  • Patch (1.0.x): Typos, clarifications, minor fixes
  • Minor (1.x.0): New sections, examples, capabilities
  • Major (x.0.0): Breaking changes, fundamental rewrites

Deprecation frontmatter:

yaml
deprecated: true
deprecatedReason: "Superseded by skill-v2"
deprecatedSince: "2024-01-15"

Add a visible notice at the top of the body: > **DEPRECATED:** Use [skill-v2] instead.

Publication Checklist

Before publishing, confirm:

  • Frontmatter is complete and valid (name, description, version)
  • Description includes concrete actions and a "Use when…" clause
  • Triggers are natural-language phrases, specific but not over-fitted
  • Core principle is clear and prominent
  • Content uses headers, lists, or tables — no walls of text
  • Code examples demonstrate correct vs. incorrect usage
  • Verification criteria are included
  • Related skills are linked where applicable
  • No spelling/grammar errors
  • Tested with target agents against all trigger phrases

Frequently asked questions

What does the Skill Authoring AI skill do?

Creates and structures SKILL.md files for AI coding agents, including YAML frontmatter, trigger phrases, directive instructions, decision trees, code examples, and verification checklists. Use when the user asks to write a new skill, create a skill file, author agent capabilities, generate skill documentation, or define a skill template for Claude Code agents.

Why use Skill Authoring on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/skillkit/tree/main/packages/core/src/methodology/packs/meta/skill-authoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Authoring?

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 Authoring?

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

Is the Skill Authoring AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 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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