provides	Repository context analysis Constraint discovery for AI adoption Research-backed AI enablement recommendations Team productivity acceleration guidance Spec-driven development workflows Repository intelligence insights

AI Enablement Intelligence Plugin

Repository intelligence and AI enablement toolkit that helps teams accelerate their product goals through constraint-aware AI adoption and research-backed implementation guidance.

This plugin provides deep repository analysis to understand your team's context, discover constraints, and deliver research-backed AI enablement strategies that actually work for your specific situation. No generic governance - just actionable guidance to help you build better, faster with AI.

🎯 What Makes This Different

Context-Aware Intelligence: We analyze your specific repository, team size, tech stack, and constraints to provide personalized AI enablement guidance that actually applies to your situation.

Research-Backed Recommendations: Every recommendation includes market analysis, implementation research, and specific tools that work for teams like yours.

Product Acceleration Focus: We don't do AI for AI's sake - we help you use AI to achieve your specific product goals faster.

🚀 Why Choose AI Enablement Intelligence?

• 🔍 Deep Repository Analysis: Understand your team's context, constraints, and opportunities
• ⚡ Constraint Discovery: Identify what's actually blocking AI adoption in your environment
• 🎯 Research-Backed Guidance: Get specific, tested recommendations for your tech stack and team size
• 📋 Implementation Ready: Receive ready-to-use code snippets, prompts, and workflows
• 🌐 Team-Focused: Designed for development teams who want to move faster, not add bureaucracy

Table of Contents

• Installation
• Usage
  • Enterprise Copilot Evaluation
• Quick Start
• Plugin Structure
• Development
  • Local Testing
• License
• Support

📊 Plugin Skills Overview

This plugin provides AI enablement and repository intelligence for development teams:

🔍 Core Enablement Skills

• ai-enablement-intelligence - Comprehensive repository analysis with constraint discovery and research-backed AI enablement recommendations

Installation

🚀 Quick Install (Recommended)

Install directly from GitHub - this is the fastest way to get started:

copilot plugin install Ankh-Studio/copilot-eval-plugin

📦 Alternative Installation Methods

From Local Path

copilot plugin install ./copilot-eval-plugin

From Specific Version

# Install a specific version
copilot plugin install Ankh-Studio/copilot-eval-plugin@v2.0.0

From Marketplace (if available)

# If added to a marketplace
copilot plugin install copilot-enterprise-eval@marketplace-name

✅ Verification

After installation, verify the plugin is working:

# Test repository assessment
/repo-assessment

# List all available skills
copilot plugin list

🔄 Updates

To update to the latest version:

# Reinstall from GitHub (gets latest version)
copilot plugin install Ankh-Studio/copilot-eval-plugin

# Or install specific version
copilot plugin install Ankh-Studio/copilot-eval-plugin@v2.0.0

Usage

AI Enablement Analysis

# Complete repository analysis with constraint discovery
/ai-enablement-intelligence

# Analyze specific repository path
/ai-enablement-intelligence ./my-project

# Quick analysis for large repositories
/ai-enablement-intelligence --depth quick

# Constraint discovery focus
/ai-enablement-intelligence --focus constraints

# Research-backed recommendations
/ai-enablement-intelligence --research-mode

Example Output

AI Enablement Analysis Results:
✅ Repository Context: React + TypeScript team, 13 people, 6 months old
✅ Constraints Discovered: Corporate AI policies, budget limits, existing GitHub Actions
✅ AI Opportunities: Component generation, test automation, dependency management
⚠️  Blocked: External AI services, custom model deployments

Recommended Enablement:
1. Enable Copilot Chat for code review assistance
2. Add spec-driven development prompts to PR template
3. Implement AI-assisted testing workflow

Implementation Ready:
- VS Code snippets for spec-driven development
- GitHub Action for AI-enhanced code review
- Team prompt templates for daily workflows

Plugin Structure

copilot-eval-plugin/
├── plugin.json              # Plugin manifest
├── skills/
│   └── ai-enablement-intelligence/  # Repository analysis and AI enablement
└── README.md                # This file

Development

Local Testing

# Test AI enablement analysis
/ai-enablement-intelligence

# Test with specific repository path
/ai-enablement-intelligence ./test-project

# Test constraint discovery
/ai-enablement-intelligence --focus constraints

License

MIT License - see LICENSE file for details.

Support

For issues and questions:

• Create an issue on GitHub
• Check the Copilot CLI Plugin Docs