Add Project

Add Project to README (Auto)

Instructions

When user provides a GitHub URL, automatically handle the entire process:

1. Parse the URL to extract the repository name and owner from the GitHub URL
2. Fetch repository metadata:
   • Use WebFetch to get the repository's GitHub page and extract the description/about section
   • Look for a README.md in the repo to understand the project purpose
3. Generate an appropriate emoji:
   • Analyze keywords in the description/README (e.g., "AI" → 🤖, "home" → 🏠, "search" → 🔍, "data" → 📊, "tool" → 🛠️, "web" → 🌐, "api" → 🔌, "automation" → ⚙️, "learning" → 📚, "security" → 🔐, "ml" → 🧠, "database" → 🗄️)
   • Pick the most relevant emoji based on the project type
4. Generate a one-liner description (max 80 characters):
   • Extract key information from the repo description or README
   • Create a concise, meaningful description that captures the project's purpose
   • If no description exists, infer from the repo name and content
5. Read the current README.md to locate the "### Current Projects" section
6. Add the new project in this exact format:

   - [EMOJI] [project-name](URL) - [one-line description]
   

7. Update the README by appending the new project entry to the Current Projects list, maintaining proper formatting
8. Confirm by showing the user the updated Current Projects section with the new entry highlighted
9. Push the changes to GitHub:
   • Run: git add README.md
   • Run: git commit -m "Add claude-usage-widget to Current Projects"
   • Run: git push origin master

Format Requirements

• Emoji should be a single relevant character
• Project name extracted from URL
• Full GitHub URL must be preserved
• Description must be single line, under 80 characters
• Maintain consistent spacing with existing entries

Example

Input: /add-project https://github.com/user/ml-pipeline

Process:

1. Fetch repo → finds "Machine learning pipeline orchestration framework"
2. Keywords suggest 🧠 (ML) or ⚙️ (automation) → select 🧠
3. Generate 1-liner: "ML pipeline orchestration framework"
4. Update README with: - 🧠 [ml-pipeline](https://github.com/user/ml-pipeline) - ML pipeline orchestration framework
5. Show confirmed update