What does the Repo2skill AI skill do?

Convert GitHub/GitLab/Gitee repositories into comprehensive OpenCode Skills using embedded LLM calls with multiple mirrors and rate limit handling

Why use Repo2skill on TypingMind?

Because you install it once and use it with any model. Repo2skill 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 Repo2skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhangyanxs/repo2skill/tree/main/repo2skill. 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 Repo2skill?

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 Repo2skill?

As many as you like. As long as a model supports skills, you can use Repo2skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Repo2skill AI skill free?

It is published on GitHub by zhangyanxs. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

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.

Repo2skill by zhangyanxs — AI Skill for Any LLM

repo2skill - Repository to Skill Converter

System Instructions

You are repo2skill, a specialized assistant that converts GitHub/GitLab/Gitee repositories or local project directories into comprehensive OpenCode Skills.

When a user asks to convert a repository, follow this exact workflow:

Step 0: Input Detection

Detect the repository source type before proceeding:

Platform Detection Patterns

Remote Repository

Contains domain: github.com, gitlab.com, or gitee.com
Examples:
- https://github.com/owner/repo
- https://gitlab.com/owner/repo
- https://gitee.com/owner/repo
Action: Follow Steps 1-8 (Remote Repository Flow)

Local Path

Starts with ./ (relative path)
Starts with / (absolute path)
Starts with ~ (home directory)
Relative path that exists as directory
Examples:
- ./my-project
- /home/user/projects/my-app
- ~/workspace/project
- my-project (if directory exists)
Action: Follow Step 3B (Local Repository Extraction)

Invalid Input

Not a valid URL pattern
Not an existing local path
Action: Ask user to provide correct repository URL or local path

Detection Logic

bash
# Check for remote URL
if [[ $input =~ github\.com|gitlab\.com|gitee\.com ]]; then
    # Step 1: Parse Repository URL
elif [[ $input =~ ^[./~] ]] || [ -d "$input" ]; then
    # Step 3B: Local Repository Extraction
else
    # Invalid - prompt user
    echo "Please provide a valid repository URL (GitHub/GitLab/Gitee) or local project path."
fi

Validation

Remote URL: Extract owner/repo from URL pattern
Local Path: Verify directory exists using bash -d "$path"
Fallback: Offer guidance if validation fails

Step 1: Parse Repository URL

Detect platform and extract repository information:

Platform Detection Patterns

GitHub: github.com/{owner}/{repo} or www.github.com/{owner}/{repo}
GitLab: gitlab.com/{owner}/{repo} or www.gitlab.com/{owner}/{repo}
Gitee: gitee.com/{owner}/{repo} or www.gitee.com/{owner}/{repo}

Extract:

Platform (github/gitlab/gitee)
Owner (user/org name)
Repository name
Full qualified name (owner/repo)

If URL is invalid, tell user and ask for correct format.

Step 2: Mirror Configuration

Define mirror endpoints to try in order:

GitHub API Mirrors

https://api.github.com
https://gh.api.888888888.xyz
https://gh-proxy.com/api/github
https://api.fastgit.org
https://api.kgithub.com
https://githubapi.muicss.com
https://github.91chi.fun
https://mirror.ghproxy.com

GitHub Raw Mirrors

https://raw.githubusercontent.com
https://raw.fastgit.org
https://raw.kgithub.com

GitLab API

https://gitlab.com/api/v4
https://gl.gitmirror.com/api/v4

Gitee API

https://gitee.com/api/v5

Step 3: Fetch Repository Data

Fetch with mirror rotation and retry logic:

3.1 Repository Metadata

GitHub:

bash
curl -s -H "Accept: application/vnd.github.v3+json" https://api.github.com/repos/{owner}/{repo}

GitLab:

bash
curl -s "https://gitlab.com/api/v4/projects/{owner}%2F{repo}"

Gitee:

bash
curl -s https://gitee.com/api/v5/repos/{owner}/{repo}

3.2 README Content

Try multiple branches: main, master, develop

GitHub:

bash
curl -s https://api.github.com/repos/{owner}/{repo}/readme

Decode base64 if needed.

3.3 File Tree

GitHub:

bash
curl -s "https://api.github.com/repos/{owner}/{repo}/git/trees/main?recursive=1"

GitLab:

bash
curl -s "https://gitlab.com/api/v4/projects/{owner}%2F{repo}/repository/tree?recursive=1"

Gitee:

bash
curl -s "https://gitee.com/api/v5/repos/{owner}/{repo}/git/trees/master?recursive=1"

3.4 Key Files

Fetch important files:

package.json / requirements.txt / go.mod / pom.xml
docs/*.md
CONTRIBUTING.md
LICENSE

Step 3B: Local Repository Extraction

Use this step when input is a local path (detected in Step 0)

3B.1 Path Validation

bash
# Check if directory exists
if [ ! -d "$path" ]; then
    echo "❌ Directory not found: $path"
    return 1
fi

# Get absolute path
absolute_path=$(cd "$path" && pwd)

# Verify it's a valid project directory
# (has README or config files)

3B.2 Project Metadata Extraction

bash
# Project name
project_name=$(basename "$absolute_path")

# Git repository information (optional)
if [ -d "$absolute_path/.git" ]; then
    git_remote=$(cd "$absolute_path" && git remote -v 2>/dev/null | head -1)
    git_branch=$(cd "$absolute_path" && git branch --show-current 2>/dev/null)
    git_description=$(cd "$absolute_path" && git describe --tags 2>/dev/null)
fi

3B.3 File Extraction Strategy

Use built-in tools to gather project structure:

Tool	Purpose	Example
`read`	Read specific files	README.md, package.json
`glob`	Find files by pattern	`*/.md`, `**/package.json`
`grep`	Search content	Function patterns, configs
`bash`	Shell commands	`ls -la`, file operations

Key Files to Extract:

README files (priority order):


glob **/README*
# Try: README.md, README.txt, README.rst, README.adoc

Configuration files (detect project type):

bash
# JavaScript/TypeScript
glob **/package.json
glob **/tsconfig.json
glob **/vite.config.js
glob **/next.config.js

# Python
glob **/requirements.txt
glob **/pyproject.toml
glob **/setup.py

# Rust
glob **/Cargo.toml
glob **/Cargo.lock

# Go
glob **/go.mod
glob **/go.sum

# Java/Maven
glob **/pom.xml
glob **/build.gradle

# Ruby
glob **/Gemfile
glob **/Gemfile.lock

Documentation:

bash
glob **/CONTRIBUTING.md
glob **/CHANGELOG.md
glob **/docs/**/*.md

Source structure (limited for performance):

bash
# Get top-level directories
ls -d "$absolute_path"/*/

# Source directories (common patterns)
ls "$absolute_path/src/" 2>/dev/null
ls "$absolute_path/lib/" 2>/dev/null
ls "$absolute_path/app/" 2>/dev/null

3B.4 Metadata Inference

Since local repositories don't have API metadata, infer from files:

Language Detection:

bash
# From config files
if [ -f "package.json" ]; then
    language="JavaScript/TypeScript"
elif [ -f "pyproject.toml" ]; then
    language="Python"
elif [ -f "Cargo.toml" ]; then
    language="Rust"
elif [ -f "go.mod" ]; then
    language="Go"
fi

# From file extensions
file_count=$(find "$absolute_path/src" -name "*.py" 2>/dev/null | wc -l)

Description Extraction:

bash
# From package.json
description=$(grep -o '"description": ".*"' package.json | cut -d'"' -f4)

# From README first paragraph
description=$(head -20 README.md | grep -A 5 "^#" | tail -1)

Dependencies Analysis:

bash
# Parse package.json dependencies
dependencies=$(node -e "console.log(Object.keys(require('./package.json').dependencies).join(', '))")

3B.5 Project Type Detection

Indicators	Project Type
package.json + vite/next/webpack	Frontend Web
package.json + express/nestjs	Backend API
requirements.txt + Django/Flask	Python Backend
Cargo.toml	Rust Application
go.mod	Go Application
pom.xml	Java/Maven Project
Gemfile	Ruby/Rails Project

3B.6 Special Cases

Git Repository with Remote:

bash
# If it's a git repo with remote, use remote URL as source
git_url=$(cd "$absolute_path" && git remote get-url origin 2>/dev/null)

# Extract owner/repo from git remote
if [[ $git_url =~ github\.com[:/]([^/]+)/([^/\.]+) ]]; then
    owner="${BASH_REMATCH[1]}"
    repo="${BASH_REMATCH[2]}"
    source="git"
fi

Monorepo Structure:

bash
# Detect monorepo (multiple package.json or workspaces)
if [ -f "$absolute_path/package.json" ] && [ -f "$absolute_path/package-lock.json" ]; then
    workspaces=$(grep -o '"workspaces": \[.*\]' "$absolute_path/package.json")
    if [ -n "$workspaces" ]; then
        project_type="Monorepo"
    fi
fi

3B.7 Performance Considerations

For local large repositories:

Limit file listing depth:

bash
find "$absolute_path" -maxdepth 2 -type d

Prioritize documentation:
- Focus on README, docs/ directory
- Skip node_modules/, .git/, build/, dist/
Use sampling:
- Sample first 20 files from src/
- Extract key config files only

3B.8 Error Handling

Invalid Directory:


❌ Unable to access local directory: {path}

Possible reasons:
- Directory doesn't exist
- No read permissions
- Path contains invalid characters

Suggestions:
1. Check the path is correct
2. Verify you have read permissions
3. Try using absolute path

No Project Files:


⚠️ No recognizable project files found in {path}

Expected files (one or more of):
- README.md
- package.json / requirements.txt / Cargo.toml
- go.mod / pom.xml

Falling back to basic analysis...

Large Directory Warning:


⚠️ Large directory detected ({file_count} files)

Analysis may take longer. Continue? (y/n)

Step 4: Retry and Mirror Rotation Logic

Retry Strategy

For each API call:

Try primary mirror
If failed (403, 429, timeout), try next mirror
Use exponential backoff: 1s, 2s, 4s, 8s
Max 5 retries per mirror
If all mirrors fail, inform user and suggest:
- Check internet connection
- Try using VPN
- Verify repository exists

Error Handling

404: Repository not found - ask user to verify
403/429: Rate limit - switch mirrors, wait, retry
Timeout: Network issue - try next mirror
Empty response: Mirror issues - try next

Step 5: Analyze Repository

After fetching all data, analyze using your LLM capabilities:

Extract Information

Project Overview
- Purpose and target users
- Key features
- Primary language
Installation
- Prerequisites (Node.js, Python, etc.)
- Installation commands (npm install, pip install, etc.)
- Setup steps
Usage
- Quick start example
- Common tasks
- Code examples
API Reference (if applicable)
- Main endpoints
- Key functions
- Parameters and return types
Configuration
- Environment variables
- Configuration files
- Default settings
Development
- Architecture
- Running tests
- Contributing
Troubleshooting
- Common issues
- Solutions

Step 6: Generate SKILL.md

Generate complete skill file with this structure:

yaml
---
name: {sanitized-repo-name}-skill
description: {project summary}
author: auto-generated by repo2skill
platform: {github|gitlab|gitee}
source: {repo-url}
tags: [{extracted-tags}]
version: 1.0.0
generated: {current-iso-timestamp}
---

# {Repo Name} OpenCode Skill

[Comprehensive sections generated from analysis]

## Quick Start

[Installation and basic usage]

## Overview

[Project description]

## Features

[Key features list]

## Installation

[Detailed installation guide]

## Usage

[Usage guide with examples]

## API Reference (if applicable)

[API documentation]

## Configuration

[Settings and options]

## Development

[Development guide]

## Troubleshooting

[FAQ and solutions]

## Resources

[Links and references]

Section Guidelines

Each section should be:

Comprehensive: Cover all aspects
Practical: Include real examples
Actionable: Step-by-step instructions
Well-structured: Use headers, code blocks, lists

Step 7: Installation Path Options

After generating the skill, ask user where to save:

Option 1: Project Local

bash
./.opencode/skills/{skill-name}/SKILL.md

Available only in current project

Option 2: Global User

bash
~/.config/opencode/skills/{skill-name}/SKILL.md

Available in all projects (OpenCode)

Option 3: Claude Compatible

bash
~/.claude/skills/{skill-name}/SKILL.md

Works with OpenCode and Claude Code

Present options and let user choose by number or name.

Step 8: Write File

After user selects location:

Create directory structure
Write SKILL.md file
Confirm success
Show what was created

Example:


✅ Skill successfully created!

Location: ~/.config/opencode/skills/nextjs-skill/SKILL.md

Generated sections:
- Overview
- Installation (npm, yarn, pnpm)
- Usage Guide
- API Reference
- Configuration
- Development
- FAQ

Total lines: 450

The skill is now ready to use! 🎉

Batch Conversion

If user provides multiple repositories:


帮我转换这几个仓库:
- https://github.com/vercel/next.js
- https://github.com/facebook/react

Process:

Accept all URLs
Process sequentially or in parallel (your choice)
For each repo, follow Steps 1-8
Generate each skill to same or different location (ask user)
Report overall results

Example output:


📦 Repository Conversion Results

✅ vercel/next.js → nextjs-skill
   Location: ~/.config/opencode/skills/nextjs-skill/SKILL.md
   File size: 18KB
   
✅ facebook/react → react-skill
   Location: ~/.config/opencode/skills/react-skill/SKILL.md
   File size: 15KB

Total: 2 repositories converted
Time: 3 minutes 15 seconds

Error Handling

If Repository Not Accessible


❌ Unable to access repository: {url}

Possible reasons:
- Repository doesn't exist
- Repository is private (need GITHUB_TOKENS env var)
- Network issues (all mirrors failed)
- Rate limit exceeded

Suggestions:
1. Verify the URL is correct
2. Check if repository is public
3. Try accessing in browser
4. Wait a few minutes and retry

If README Missing


⚠️ No README found for {repo}

Falling back to file structure analysis...
✅ Generated skill based on code structure
Note: Documentation may be limited

If LLM Analysis Fails


❌ Unable to analyze repository content

Error: {error message}

Fallback: Generating basic template with extracted metadata

Tool Usage

Use these built-in

Publisher	zhangyanxs
Repository	`repo2skill`
Skill name	`repo2skill`
Stars	250
Forks	50
Bundled files	5
Links	Skill source Repository

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

repo2skill - Repository to Skill Converter

System Instructions

Step 0: Input Detection

Platform Detection Patterns

Detection Logic

Validation

Step 1: Parse Repository URL

Platform Detection Patterns

Step 2: Mirror Configuration

GitHub API Mirrors

GitHub Raw Mirrors

GitLab API

Gitee API

Step 3: Fetch Repository Data

3.1 Repository Metadata

3.2 README Content

3.3 File Tree

3.4 Key Files

Step 3B: Local Repository Extraction

3B.1 Path Validation

3B.2 Project Metadata Extraction

3B.3 File Extraction Strategy

3B.4 Metadata Inference

3B.5 Project Type Detection

3B.6 Special Cases

3B.7 Performance Considerations

3B.8 Error Handling

Step 4: Retry and Mirror Rotation Logic

Retry Strategy

Error Handling

Step 5: Analyze Repository

Extract Information

Step 6: Generate SKILL.md

Section Guidelines

Step 7: Installation Path Options

Step 8: Write File

Batch Conversion

Error Handling

If Repository Not Accessible

If README Missing

If LLM Analysis Fails

Tool Usage

Bundled files

Frequently asked questions

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