Equipe Z - Agent Skills Library 🧠

Welcome to Equipe Z's Agent Skills, a lightweight, pragmatic collection of "soft skills" and tools designed to enhance AI Agents (like GitHub Copilot or ChatGPT).

📖 Philosophy

We believe that for small teams, Context is the best Code. Instead of building complex Agent orchestration frameworks, we define Skills as folders containing specific instructions (System Prompts) and executable tools.

📂 Repository Structure

The repository is organized by Skills. Each folder represents a standalone capability that can be "installed" into an AI session.

root/
├── [Skill Name]/               # Example: "Code_Reviewer", "Data_Analyst"
│   ├── [skill_name].md         # THE CORE: The Prompt, Persona, and Strict Rules.
│   └── [supporting_files]      # Python scripts, reference docs, or templates.

Components of a Skill

1. The Manifesto (.md): A Markdown file defining the Agent's persona, strict rules, and operational workflow.
2. The Toolkit: Helper scripts (e.g., bibtex_formatter.py) that the Agent can read to understand how to execute specific tasks.

🚀 How to Use

Method 1: The "VS Code Workspace" Workflow (Recommended) ⭐

This method turns your editor into a powerful, context-aware Agent platform.

1. Clone this repository to your local machine.
2. Add this folder to your current VS Code Workspace.
   • File -> Add Folder to Workspace...
3. Summon the Skill in your AI Chat (e.g., Copilot Chat):
   • Simply type @ followed by the skill's filename.
   • Example: @code_review.md Please review the currently open file.

Method 2: The Direct Feed

If you are using a web-based chat model (ChatGPT, Claude):

1. Open the folder of the skill you want to use.
2. Drag and Drop the .md file and any script files into the chat context.
3. The AI will instantly adopt the persona and understand the available tools.

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Equipe Z Agent Skills - A Shared Library for AI Context & Tools.