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Copilot Docs

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hoodini
copilot-docs

Configure GitHub Copilot with custom instructions. Use when setting up .github/copilot-instructions.md, customizing Copilot behavior, or creating repository-specific AI guidance. Triggers on Copilot instructions, copilot-instructions.md, GitHub Copilot config.

Overview

Publisherhoodini
Repositoryai-agents-skills
Skill namecopilot-docs
Stars
280
Forks
62
Bundled files
Instructions only
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 hoodini on GitHub. Read the source before you install it.

Installation

Install the Copilot Docs 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/hoodini/ai-agents-skills.git /tmp/ai-agents-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agents-skills/skills/copilot-docs .claude/skills/copilot-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Copilot Docs 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 Copilot Docs 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 Copilot Docs 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.

GitHub Copilot Custom Instructions

Configure repository-specific instructions for GitHub Copilot.

Quick Start

Create .github/copilot-instructions.md in your repository:

markdown
# Copilot Instructions

## Code Style
- Use TypeScript with strict mode
- Prefer functional components with hooks
- Use Tailwind CSS for styling

## Project Context
This is a Next.js 14 app using the App Router.
API routes are in `app/api/`.

Effective Patterns

Project Context

markdown
# Project Context

## Tech Stack
- Next.js 14 with App Router
- TypeScript 5.3+
- Tailwind CSS 3.4
- Prisma ORM with PostgreSQL

## Architecture
- `app/` - Next.js App Router pages and API routes
- `components/` - React components
- `lib/` - Utility functions and shared code
- `prisma/` - Database schema and migrations

Code Standards

markdown
# Code Standards

## TypeScript
- Enable strict mode
- Prefer `interface` over `type` for object shapes
- Use explicit return types on functions

## React
- Use functional components exclusively
- Prefer named exports
- Extract hooks to `hooks/` directory

## Error Handling
- Use Result pattern for fallible operations
- Always handle async errors with try/catch
- Log errors with structured format

Naming Conventions

markdown
# Naming Conventions

## Files
- Components: PascalCase (Button.tsx)
- Utilities: camelCase (formatDate.ts)
- Constants: SCREAMING_SNAKE_CASE

## Code
- Boolean variables: is*, has*, should* prefix
- Event handlers: handle* prefix (handleClick)
- Async functions: *Async suffix

Testing

markdown
# Testing Guidelines

## Unit Tests
- Use Vitest for unit testing
- Place tests next to source files (*.test.ts)
- Mock external dependencies

## Test Patterns
```typescript
describe('Component', () => {
  it('should render correctly', () => {
    // Arrange, Act, Assert pattern
  });
});

### API Patterns
```markdown
# API Patterns

## Route Handlers
```typescript
// Standard response format
return NextResponse.json({
  data: result,
  error: null,
  meta: { timestamp: Date.now() }
});

// Error response
return NextResponse.json(
  { data: null, error: { code: 'NOT_FOUND', message: '...' } },
  { status: 404 }
);

Validation

  • Use Zod for request validation
  • Validate early, fail fast

### Do's and Don'ts
```markdown
# Guidelines

## Do
- Write self-documenting code
- Add JSDoc comments for public APIs
- Use meaningful variable names

## Don't
- Use `any` type
- Leave console.log in production code
- Commit sensitive data

File Location

The file must be at .github/copilot-instructions.md (not in root).

Resources

Frequently asked questions

What does the Copilot Docs AI skill do?

Configure GitHub Copilot with custom instructions. Use when setting up .github/copilot-instructions.md, customizing Copilot behavior, or creating repository-specific AI guidance. Triggers on Copilot instructions, copilot-instructions.md, GitHub Copilot config.

Why use Copilot Docs on TypingMind?

Because you install it once and use it with any model. Copilot Docs 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 Copilot Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoodini/ai-agents-skills/tree/master/skills/copilot-docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Copilot Docs?

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 Copilot Docs?

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

Is the Copilot Docs AI skill free?

It is published on GitHub by hoodini. Check the repository for licensing terms. 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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