repo-to-claude-skill
🥈SilverAutomatically converts GitHub repositories into Claude Skills. Operations teams benefit by streamlining the integration of code repositories into AI workflows. Connects to GitHub and Claude AI, enabling rapid deployment of AI skills from existing codebases.
1720Updated Today
Intermediate30min to implementautomation
Saves ~30 min per use
Quick InstallView Source
git clone https://github.com/eddiehaug/repo-to-claude-skill.gitWorks with:
Claude
Overview
About This Skill
Automatically converts GitHub repositories into Claude Skills. Operations teams benefit by streamlining the integration of code repositories into AI workflows. Connects to GitHub and Claude AI, enabling rapid deployment of AI skills from existing codebases.
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/eddiehaug/repo-to-claude-skillRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Convert the GitHub repository [REPO_URL] into a Claude Skill. The repository contains [INDUSTRY]-related code for [COMPANY]. Ensure the skill is optimized for [USE_CASE] and includes all necessary dependencies.
Example Output
# Claude Skill: GitHub Repository Converter ## Overview This skill converts the GitHub repository [https://github.com/example/repo](https://github.com/example/repo) into a Claude Skill. The repository contains code for a data analytics pipeline in the healthcare industry. ## Key Features - Automated dependency resolution - Optimized for data processing tasks - Includes example prompts for common operations ## Dependencies - Python 3.8+ - pandas - numpy - scikit-learn ## Example Prompts ``` 1. Analyze patient data trends 2. Generate predictive models 3. Visualize data distributions ```
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