Ecosystem Migration Skill

Ecosystem Migration Skill

Purpose

Migrate existing repositories to use Personal GitHub Ecosystem templates and patterns, including workflow conversion and AI integration adoption.

Triggers

• "migrate this repo to the ecosystem"
• "adopt the python template"
• "convert to reusable workflows"
• "upgrade my CI to ecosystem standards"
• "add ecosystem AI integration"

Usage

Point this skill at an existing repository to assess its current state and receive a migration plan. Choose from full adoption, workflow-only, or incremental strategies based on project complexity.

Migration Assessment

# Detect project type
[ -f "pyproject.toml" ] && echo "Python"
[ -f "package.json" ] && echo "Node.js"
[ -f "go.mod" ] && echo "Go"
[ -f "Cargo.toml" ] && echo "Rust"
[ -f "build.gradle.kts" ] && echo "Java"

# Check existing config
ls -la .github/​workflows/ 2>/​dev/​null
[ -f "CLAUDE.md" ] && echo "Has CLAUDE.md"
[ -f ".github/​copilot-instructions.md" ] && echo "Has Copilot"

Migration Strategies

Strategy 1: Full Template Adoption

Best for: New-ish projects with minimal customization

# 1. Backup existing config
mkdir -p .migration-backup
cp -r .github .migration-backup/

# 2. Copy template files
cp -r ~/​ecosystem/​templates/​python-template/​.github ./
cp ~/​ecosystem/​templates/​python-template/​CLAUDE.md ./
mkdir -p .vscode
cp ~/​ecosystem/​templates/​python-template/​.vscode/​mcp.json .vscode/

# 3. Merge configurations (manual review)

Strategy 2: Workflow-Only Migration

Best for: Established projects wanting CI standardization

# Replace existing CI with reusable workflow
name: CI
on: [push, pull_request]

jobs:
  ci:
    uses: zircote/​.github/​.github/​workflows/​reusable-ci-python.yml@main
    with:
      python-version: '3.12'
    secrets: inherit

Strategy 3: Incremental Adoption

Best for: Large projects requiring careful migration

Phase 1: AI Integration

• Add CLAUDE.md
• Add copilot-instructions.md
• Add mcp.json

Phase 2: Standardize Tooling

• Update linter/​formatter configs

Phase 3: Migrate Workflows

• Add reusable workflow alongside existing
• Test and validate
• Remove old workflow

Phase 4: Security Baseline

• Add pre-commit hooks
• Configure gitleaks
• Enable Dependabot

Adding AI Integration

# Create CLAUDE.md
cat > CLAUDE.md << 'EOF'
# CLAUDE.md

## Project Overview
[Describe project]

## Build Commands
```bash
[relevant commands]

Code Style

[Document standards] EOF

Create copilot-instructions.md

mkdir -p .github cat > .github/​copilot-instructions.md << 'EOF'

GitHub Copilot Instructions

Project Context

[Describe for Copilot]

Code Guidelines

[Language patterns] EOF

## Converting to Reusable Workflows

**Before:**
```yaml
name: CI
on: [push]
jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/​checkout@v4
      - run: pip install ruff && ruff check .

After:

name: CI
on: [push]
jobs:
  ci:
    uses: zircote/​.github/​.github/​workflows/​reusable-ci-python.yml@main

Validation After Migration

# Check required files
for f in CLAUDE.md .github/​copilot-instructions.md; do
  [ -f "$f" ] && echo "✓ $f" || echo "✗ $f"
done

# Validate workflows
./​scripts/​validate-sha-pinning.sh .github/​workflows/

# Test CI (if possible)
# Run linting, tests locally

Rollback Procedure

# Quick rollback
cp -r .migration-backup/​.github ./
rm CLAUDE.md .github/​copilot-instructions.md

# Or selective
git checkout HEAD~1 -- .github/​workflows/

Migration Checklist

Pre-Migration

• Document current CI behavior
• Create backup branch
• Identify custom configs to preserve

During Migration

• Copy/​adapt template files
• Merge configs (don't overwrite)
• Update project-specific values

Post-Migration

• CI passes
• Existing features work
• AI integration functional
• Team approval