initialize-repository

name	initialize-repository
version	1.0.1
description	Meta-skill (Phase 0) for bootstrapping new repositories with workflow system. Interactive callable tool that copies skills, documentation, and standards from source repository. Use when: Starting a new project that needs the workflow system Triggers: "initialize new repository", "bootstrap workflow", "replicate workflow system"

Initialize-Repository Meta-Skill

Purpose

The initialize-repository meta-skill is a Phase 0 (bootstrapping) tool that replicates the complete workflow system from a source repository to a new target repository. It provides an interactive Q&A system to configure what components get copied and how they're adapted for the new context.

Key capabilities:

• Copy all 8 workflow skills from source to target
• Adapt documentation for new repository context
• Generate customized README.md, CLAUDE.md, pyproject.toml
• Optionally copy domain-specific content, tests, containers
• Initialize git with branch structure (main, develop, contrib)
• Create compliant directory structure (ARCHIVED/, planning/, specs/)
• Validate the created repository structure

Token efficiency:

• Manual setup: ~3,500 tokens
• Callable tool: ~150 tokens
• Savings: ~3,350 tokens (96% reduction)

When to Use

Use this meta-skill when:

• Starting a new project that needs the workflow system
• Migrating an existing project to the workflow system
• Creating a template repository with workflow standards
• Bootstrapping multiple repositories with consistent workflow

NOT part of normal workflow phases (1-6). This is Phase 0, run once per repository to set up the environment for the other skills to operate.

Interactive Callable Tool

Command Syntax

python .claude/skills/initialize-repository/scripts/initialize_repository.py \
  <source-repo> <target-repo>

Arguments:

• source-repo: Path to source repository (with workflow system)
• target-repo: Path to target repository (will be created)

Example Usage

# Initialize new repository from current repo
python .claude/skills/initialize-repository/scripts/initialize_repository.py \
  /path/to/german /path/to/my-new-project

# From current directory (source repo)
python .claude/skills/initialize-repository/scripts/initialize_repository.py \
  . ../my-new-project

Interactive Session Flow

The script conducts a 4-phase interactive Q&A session:

Phase 1: Configuration Selection

Repository details:

1. Name (auto-detected from target path)
2. Purpose (Web app / CLI tool / Library / Data analysis / ML / Other)
3. Brief description (one line)
4. GitHub username (auto-detected from gh CLI)

Technology stack: 5. Python version (3.11 / 3.12 / 3.13)

Components to copy: 6. Copy workflow system? (required, always yes) 7. Copy domain-specific content (src/, resources/)? (yes/no) 8. Copy sample tests (tests/)? (yes/no) 9. Copy container configs (Containerfile, podman-compose.yml)? (yes/no) 10. Copy CI/CD pipelines (.github/workflows/tests.yml, azure-pipelines.yml)? (yes/no)

Phase 2: Git Setup

11. Initialize git repository? (yes/no)
12. If yes: Create branch structure (main, develop, contrib)? (yes/no)
13. If yes: Set up remote repository? (yes/no)
14. If yes: Remote URL (e.g., https://github.com/user/repo.git)
15. If yes and remote: Push to remote? (yes/no)

Phase 3: File Operations (Automatic)

Copied verbatim:

• .claude/skills/ (all 9 skills including this one)
• WORKFLOW.md (complete workflow guide)
• CONTRIBUTING.md (contributor guidelines)
• .claude/skills/UPDATE_CHECKLIST.md (skill update checklist)
• .gitignore (git exclusions)

Generated/adapted:

• README.md (customized for new repo purpose)
• CLAUDE.md (customized for new repo context)
• pyproject.toml (new repo name, purpose, dependencies)
• CHANGELOG.md (initial version 0.1.0)
• TODO.md (master workflow manifest)

Created:

• Directory structure (ARCHIVED/, planning/, specs/)
• CLAUDE.md and README.md in each directory
• ARCHIVED/ subdirectories with their own CLAUDE.md/README.md

Optionally copied:

• src/ and resources/ (if copy_domain = yes)
• tests/ (if copy_tests = yes)
• Containerfile, podman-compose.yml (if copy_containers = yes)
• .github/workflows/tests.yml, azure-pipelines.yml (if copy_cicd = yes)

Phase 4: Git Initialization (Conditional)

If init_git = yes:

1. Initialize git repository
2. Create initial commit on main (with proper format)
3. Create develop branch from main (if create_branches = yes)
4. Create contrib/ branch from develop (if create_branches = yes)
5. Set up remote origin (if remote_url provided)
6. Push to remote (if user confirms)

Example Interactive Session

=== Phase 1: Configuration Selection ===

What is the primary purpose of this repository?
  1) Web application
  2) CLI tool
  3) Library/package
  4) Data analysis
  5) Machine learning
  6) Other
> 3

Brief description of the repository (one line):
> Python library for task automation

GitHub username [default: stharrold]
> stharrold

Python version
  1) 3.11
  2) 3.12
  3) 3.13
  [default: 3.11]
> 1

Which components should be copied?

Copy workflow system (.claude/skills/, WORKFLOW.md, etc.)? (Y/n)
> y

Copy domain-specific content (src/, resources/)? (y/N)
> n

Copy sample tests (tests/)? (y/N)
> y

Copy container configs (Containerfile, podman-compose.yml)? (y/N)
> n

Copy CI/CD pipelines (.github/workflows/tests.yml, azure-pipelines.yml)? (Y/n)
> y

✓ Configuration complete

=== Phase 2: Git Setup ===

Initialize git repository? (Y/n)
> y

Create branch structure (main, develop, contrib)? (Y/n)
> y

Set up remote repository? (y/N)
> y

Remote URL (e.g., https://github.com/user/repo.git):
> https://github.com/stharrold/my-new-project.git

✓ Git setup configuration complete

Review Configuration:
  Source: /path/to/german
  Target: /path/to/my-new-project
  Name: my-new-project
  Purpose: Library/package
  GitHub User: stharrold
  Copy workflow: True
  Copy domain: False
  Initialize git: True

Proceed with initialization? (Y/n)
> y

=== Phase 3: File Operations ===

ℹ Copying workflow skills...
✓ Copied skill: workflow-orchestrator
✓ Copied skill: tech-stack-adapter
✓ Copied skill: git-workflow-manager
✓ Copied skill: bmad-planner
✓ Copied skill: speckit-author
✓ Copied skill: quality-enforcer
✓ Copied skill: workflow-utilities
✓ Copied skill: initialize-repository
✓ Copied 9/9 skills

ℹ Copying workflow documentation...
✓ Copied: WORKFLOW.md
✓ Copied: CONTRIBUTING.md
✓ Copied: .claude/skills/UPDATE_CHECKLIST.md

ℹ Generating README.md...
✓ Generated README.md

ℹ Generating CLAUDE.md...
✓ Generated CLAUDE.md

ℹ Generating pyproject.toml...
✓ Generated pyproject.toml

ℹ Copying .gitignore...
✓ Copied .gitignore

ℹ Creating directory structure...
✓ Created: ARCHIVED/
✓ Created: planning/
✓ Created: specs/
✓ Created: tests/
✓ Directory structure created

ℹ Creating TODO.md master manifest...
✓ Created TODO.md master manifest

ℹ Creating CHANGELOG.md...
✓ Created CHANGELOG.md

ℹ Copying tests...
✓ Copied: tests/

ℹ Copying CI/CD pipelines...
✓ Copied: .github/workflows/tests.yml
✓ Copied: azure-pipelines.yml

✓ File operations complete

=== Phase 4: Git Initialization ===

ℹ Initializing git repository...
✓ Git initialized

ℹ Creating initial commit...
✓ Initial commit created on main

ℹ Creating develop branch...
✓ Created develop branch

ℹ Creating contrib/stharrold branch...
✓ Created contrib/stharrold branch

ℹ Setting up remote: https://github.com/stharrold/my-new-project.git
✓ Remote configured

Push to remote? (y/N)
> y

✓ Pushed to remote

✓ Git initialization complete

ℹ Validating repository structure...
✓ Repository structure validated

============================================================
✓ Repository Initialization Complete
============================================================

Repository: /path/to/my-new-project
Name: my-new-project
Purpose: Library/package
GitHub User: stharrold

Created:
  ✓ Workflow system (9 skills)
  ✓ Documentation (WORKFLOW.md, CLAUDE.md, CONTRIBUTING.md)
  ✓ Quality configs (pyproject.toml, .gitignore)
  ✓ Directory structure (ARCHIVED/, planning/, specs/)
  ✓ Tests (tests/)
  ✓ CI/CD pipelines (GitHub Actions + Azure Pipelines)

Git:
  ✓ Initialized repository
  ✓ Created branches: main, develop, contrib/stharrold
  ✓ Remote configured: https://github.com/stharrold/my-new-project.git

Next Steps:
  1. cd /path/to/my-new-project
  2. uv sync
  3. Start first feature:
     python .claude/skills/bmad-planner/scripts/create_planning.py \
       my-feature stharrold

Documentation:
  - README.md - Project overview
  - WORKFLOW.md - Complete workflow guide
  - CLAUDE.md - Claude Code interaction guide
  - CONTRIBUTING.md - Contributor guidelines

🎉 Happy coding!

Components Copied

Always Copied (Workflow System)

Skills (8 total):

.claude/skills/
├── workflow-orchestrator/    (~300 lines SKILL.md, orchestrator logic)
├── tech-stack-adapter/        (~200 lines, detect_stack.py)
├── git-workflow-manager/      (~500 lines, 8 scripts)
├── bmad-planner/              (~400 lines, 1006-line script, 3 templates)
├── speckit-author/            (~400 lines, 2 scripts, 2 templates)
├── quality-enforcer/          (~300 lines, 2 scripts)
├── workflow-utilities/        (~200 lines, 7 utility scripts)
└── initialize-repository/     (~400 lines, this meta-skill)

Documentation:

• WORKFLOW.md (2,023 lines) - Complete 6-phase workflow guide
• CONTRIBUTING.md (575 lines) - Contributor guidelines with quality standards
• .claude/skills/UPDATE_CHECKLIST.md (393 lines) - Skill update checklist

Configuration:

• .gitignore (290 chars) - Git exclusions for Python/IDE/OS files

Generated/Adapted Files

README.md:

• Customized for new repository name and purpose
• Quick start guide with installation commands
• Workflow commands with correct GitHub username
• Quality standards and contributing link

CLAUDE.md:

• Repository purpose from Q&A
• Code architecture section (placeholder for user to fill)
• Workflow architecture section from source (copied verbatim)
• Common commands with correct GitHub username
• Quality gates and git branch structure

pyproject.toml:

• New repository name
• New description
• Python version from Q&A
• Standard dependencies (pytest, pytest-cov, ruff, mypy)
• Tool configurations (ruff, mypy, pytest)

CHANGELOG.md:

• Initial [0.1.0] entry with current date
• [Unreleased] section for future changes

TODO.md:

• Master workflow manifest with YAML frontmatter
• Empty active/archived workflow lists
• Ready for first workflow creation

Directory Structure Created

target-repo/
├── .claude/
│   └── skills/           # 9 skills copied
├── ARCHIVED/             # With CLAUDE.md, README.md
├── planning/             # With CLAUDE.md, README.md, ARCHIVED/
├── specs/                # With CLAUDE.md, README.md, ARCHIVED/
├── src/                  # Optional (if copy_domain = yes)
├── resources/            # Optional (if copy_domain = yes)
├── tests/                # Optional (if copy_tests = yes)
├── README.md             # Generated
├── CLAUDE.md             # Generated
├── WORKFLOW.md           # Copied verbatim
├── CONTRIBUTING.md       # Copied verbatim
├── CHANGELOG.md          # Generated
├── TODO.md               # Generated
├── pyproject.toml        # Generated
└── .gitignore            # Copied verbatim

Every directory (except ARCHIVED itself) contains:

• CLAUDE.md - Context-specific guidance
• README.md - Human-readable documentation
• ARCHIVED/ subdirectory with its own CLAUDE.md and README.md

Adaptation Logic

Files Copied Verbatim

These files are not modified during copying:

Workflow system:

• All .claude/skills/ files (SKILL.md, CLAUDE.md, scripts, templates)
• WORKFLOW.md (workflow is technology-agnostic)
• CONTRIBUTING.md (standards apply to all repos)
• .claude/skills/UPDATE_CHECKLIST.md (update process unchanged)
• .gitignore (Python/IDE exclusions standard)

Rationale: These files define the workflow system itself and should be identical across all repositories using the system.

Files Generated/Adapted

These files are customized for the new repository:

README.md:

• Repository name → from target path
• Description → from Q&A
• Purpose → from Q&A
• GitHub username → from Q&A or gh CLI
• Quick start commands → adapted for new repo name
• Workflow commands → adapted for new GitHub username

CLAUDE.md:

• Repository purpose → from Q&A
• Code architecture → placeholder for user to fill
• Workflow architecture → from source CLAUDE.md (workflow sections)
• Commands → adapted for new GitHub username
• Branch structure → adapted for new GitHub username

pyproject.toml:

• project.name → new repository name
• project.description → from Q&A
• requires-python → from Q&A (3.11/3.12/3.13)
• tool.ruff.target-version → from Python version
• tool.mypy.python_version → from Python version

CHANGELOG.md:

• [0.1.0] date → current date
• Initial entry → describes workflow system initialization

TODO.md:

• last_update → current timestamp
• Empty workflow lists → ready for first workflow

Output Structure

After running the script, the target repository will have:

8 workflow skills:

• All SKILL.md, CLAUDE.md, README.md, CHANGELOG.md files
• All Python scripts and templates
• All ARCHIVED/ directories with documentation

Complete documentation:

• Customized README.md and CLAUDE.md
• Complete WORKFLOW.md and CONTRIBUTING.md
• Initial CHANGELOG.md

Quality configurations:

• pyproject.toml with test/lint/type configs
• .gitignore for Python projects

Compliant directory structure:

• Every directory has CLAUDE.md, README.md, ARCHIVED/
• planning/, specs/, ARCHIVED/ ready for workflow use

Optional git initialization:

• Three-branch structure (main, develop, contrib/)
• Initial commit with proper format
• Remote configured and pushed (optional)

Master workflow manifest:

• TODO.md ready to track workflows
• Compliant YAML frontmatter structure

Integration with Workflow

This is NOT part of the normal 6-phase workflow. It's Phase 0 (bootstrapping).

Relationship to other phases:

Phase 0: Initialize Repository (this meta-skill)
  ↓ Creates environment for...

Phase 1: Planning (BMAD)
Phase 2: Development (SpecKit, feature worktrees)
Phase 3: Quality (quality-enforcer)
Phase 4: Integration (git-workflow-manager, PRs)
Phase 5: Release (release automation)
Phase 6: Hotfix (production fixes)

After running this meta-skill:

1. New repository has complete workflow system
2. User can immediately start Phase 1 (BMAD planning)
3. All skills are available and ready to use

Does NOT interact with:

• workflow-orchestrator (orchestrator only coordinates Phases 1-6)
• Other skills (they operate in the initialized repository)

Use case:

• Run once per new repository
• Creates the foundation for all other skills to operate
• After initialization, never run again in that repository

Token Efficiency

Manual approach (without this meta-skill):

1. Read WORKFLOW.md (~2,000 lines → ~1,500 tokens)
2. Read CLAUDE.md (~800 lines → ~600 tokens)
3. Read all 9 skill SKILL.md files (~3,200 lines → ~2,400 tokens)
4. Manually copy .claude/skills/ directory structure
5. Manually adapt README.md, CLAUDE.md, pyproject.toml
6. Manually create directory structure
7. Manually initialize git with branch structure

Total: ~3,500 tokens + manual work

Callable tool approach (with this meta-skill):

1. Call initialize_repository.py (~150 tokens)
2. Answer Q&A questions (~50 tokens for responses)
3. Script handles all copying, adaptation, git setup

Total: ~200 tokens

Savings: ~3,300 tokens (94% reduction)

Additional benefits:

• Consistent structure across all repositories
• No missed files or incorrect adaptations
• Proper git initialization with correct format
• Validation of created structure
• Time saved (minutes vs hours)

Best Practices

Before running:

1. Ensure source repository has complete workflow system
2. Validate gh CLI is authenticated (gh auth status)
3. Decide what components to copy (workflow-only vs full template)
4. Have remote repository URL ready (if setting up remote)

During Q&A:

1. Provide accurate repository purpose (affects generated README)
2. Use correct GitHub username (affects branch names)
3. Choose Python version matching your project needs
4. Copy tests only if they're reusable (not domain-specific)
5. Copy containers only if architecture is similar

After initialization:

1. Review generated README.md and CLAUDE.md
2. Fill in code architecture section in CLAUDE.md
3. Customize CHANGELOG.md if needed
4. Run uv sync to install dependencies
5. Start first feature with BMAD planning

When to NOT use:

1. Repository already has workflow system (use update scripts instead)
2. Need partial workflow system (manually copy specific skills)
3. Completely different technology stack (adapt manually)

Applying to Existing Repositories

The initialize-repository script can be used with existing repositories, but requires careful planning because it overwrites certain files. This section provides guidance for safely applying the workflow system to existing projects.

Files That Get Overwritten

⚠️ WARNING: The following files will be REPLACED:

Documentation files:

• README.md - Replaced with generated README (your content will be lost)
• CLAUDE.md - Replaced with generated CLAUDE.md (your content will be lost)
• CHANGELOG.md - Replaced with initial v0.1.0 entry (your history will be lost)
• TODO.md - Replaced with master workflow manifest (if exists)

Configuration files:

• pyproject.toml - Replaced with generated config (your dependencies/settings will be lost)
• .gitignore - Replaced with workflow system .gitignore (your exclusions will be lost)

Workflow system:

• .claude/skills/ - Created/merged (existing skills directory will be overwritten)

Files That Are Preserved

✓ Your code and content remain untouched (unless you choose to copy domain content):

Source code:

• src/ - Preserved (only overwritten if you select "copy domain content")
• resources/ - Preserved (only overwritten if you select "copy domain content")
• Any other code directories - Preserved

Tests:

• tests/ - Preserved (only overwritten if you select "copy tests")

All other files:

• Custom scripts, data files, notebooks, docs/ - All preserved
• Hidden files/directories (except .gitignore) - Preserved
• Build artifacts, virtual environments - Preserved

Pre-Flight Checklist

Before applying the workflow to an existing repository:

1. Clean git state:

cd /path/to/existing-repo
git status  # Should show clean working tree
git commit -am "checkpoint: before applying workflow system"

2. Create backup branch:

git branch backup-before-workflow
git push origin backup-before-workflow  # Optional: push to remote

3. Review files that will be overwritten:

# Check if you have content to preserve
ls -la README.md CLAUDE.md CHANGELOG.md pyproject.toml .gitignore

# Save important content from these files
mkdir -p /tmp/backup-docs
cp README.md CHANGELOG.md pyproject.toml .gitignore /tmp/backup-docs/
# CLAUDE.md might not exist yet

4. Decide on approach:

• Option A (Recommended): Test in separate directory first
• Option B: Apply directly with careful commit/merge workflow

Option A: Test Application (Recommended)

This approach applies the workflow to a test copy first, then selectively merges:

# Step 1: Create test copy of existing repository
cp -r /path/to/existing-repo /path/to/existing-repo-test

# Step 2: Apply workflow to test copy
python /path/to/source-with-workflow/.claude/skills/initialize-repository/scripts/initialize_repository.py \
  /path/to/source-with-workflow \
  /path/to/existing-repo-test

# Answer Q&A:
# - Repository purpose: [match your existing repo]
# - Description: [your existing repo description]
# - Copy workflow: yes (required)
# - Copy domain content: NO (preserve your existing src/)
# - Copy tests: NO (preserve your existing tests/)
# - Copy containers: [yes if you want workflow's container configs]
# - Initialize git: NO (already has git)

# Step 3: Review generated files in test copy
cd /path/to/existing-repo-test
cat README.md        # Review generated README
cat CLAUDE.md        # Review generated CLAUDE.md
cat pyproject.toml   # Review generated config

# Step 4: Manually merge desired changes back to original
cd /path/to/existing-repo

# Copy workflow system (safe to overwrite)
cp -r /path/to/existing-repo-test/.claude .

# Merge documentation (manual)
# - Copy workflow sections from test/README.md to your README.md
# - Copy workflow sections from test/CLAUDE.md to your CLAUDE.md
# - Merge pyproject.toml dependencies (add pytest, ruff, mypy, coverage configs)
# - Merge .gitignore exclusions

# Copy workflow documentation (safe to add)
cp /path/to/existing-repo-test/WORKFLOW.md .
cp /path/to/existing-repo-test/CONTRIBUTING.md .

# Step 5: Create directory structure
python .claude/skills/workflow-utilities/scripts/directory_structure.py \
  planning specs ARCHIVED

# Step 6: Create TODO.md master manifest
cat > TODO.md << 'EOF'
---
type: workflow-master-manifest
version: 5.0.0
last_update: "$(date -u +%Y-%m-%dT%H:%M:%SZ)"

workflows:
  active: []
  archived: []

context_stats:
  total_workflows_completed: 0
  current_token_usage: 0
  last_checkpoint: "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
---

# Master TODO Manifest

This is the master manifest tracking all workflow TODO files in this repository.

## Active Workflows

None currently active.

## Archived Workflows

None archived yet.
EOF

# Step 7: Commit workflow system
git add .claude/ WORKFLOW.md CONTRIBUTING.md TODO.md
git add planning/ specs/ ARCHIVED/  # If created
git commit -m "feat(workflow): integrate workflow v7x1 system

- Add 9 workflow skills for progressive development
- Add WORKFLOW.md, CONTRIBUTING.md documentation
- Add TODO.md master manifest
- Add compliant directory structure

Implements: Phase 0 workflow integration
Refs: initialize-repository v1.0.0"

# Step 8: Test workflow system
python .claude/skills/tech-stack-adapter/scripts/detect_stack.py
python .claude/skills/bmad-planner/scripts/create_planning.py test-feature $(git config user.name)

Benefits of Option A:

• ✓ No risk to existing repository
• ✓ Review all changes before applying
• ✓ Selective merge of desired features
• ✓ Can iterate and refine

Option B: Direct Application

This approach applies the workflow directly, relying on git to track changes:

# Step 1: Ensure clean git state (CRITICAL)
cd /path/to/existing-repo
git status  # MUST be clean
git commit -am "checkpoint: before workflow integration"
git branch backup-before-workflow

# Step 2: Save important content
mkdir -p .workflow-backup
cp README.md CHANGELOG.md .workflow-backup/
cp pyproject.toml .gitignore .workflow-backup/

# Step 3: Run initialize_repository.py
python /path/to/source-with-workflow/.claude/skills/initialize-repository/scripts/initialize_repository.py \
  /path/to/source-with-workflow \
  /path/to/existing-repo

# Answer Q&A:
# - Repository purpose: [match your existing repo]
# - Description: [your existing repo description]
# - Copy workflow: yes (required)
# - Copy domain content: NO (preserve your src/)
# - Copy tests: NO (preserve your tests/)
# - Copy containers: [decide based on needs]
# - Initialize git: NO (already initialized)

# Step 4: Review changes with git
git status
git diff README.md        # See what changed
git diff pyproject.toml   # See what changed
git diff .gitignore       # See what changed

# Step 5: Restore and merge important content
# README.md - merge your original content with workflow sections
cp .workflow-backup/README.md README.md.original
# Manually edit README.md to include both your content and workflow sections

# pyproject.toml - merge dependencies
# Edit pyproject.toml to add back your custom dependencies
# Keep workflow's test/lint/coverage configurations

# .gitignore - merge exclusions
cat .workflow-backup/.gitignore >> .gitignore
# Then manually deduplicate

# CHANGELOG.md - merge history
cat .workflow-backup/CHANGELOG.md >> CHANGELOG.md
# Edit to merge chronologically

# Step 6: Commit workflow integration
git add -A
git commit -m "feat(workflow): integrate workflow v7x1 system

- Add 9 workflow skills
- Merge workflow documentation with existing content
- Add compliant directory structure
- Preserve existing code, tests, and domain content

Implements: Phase 0 workflow integration
Refs: initialize-repository v1.0.0"

# Step 7: Test workflow system
python .claude/skills/tech-stack-adapter/scripts/detect_stack.py
uv sync  # Install new dependencies
python .claude/skills/quality-enforcer/scripts/run_quality_gates.py

Benefits of Option B:

• ✓ Faster (single application)
• ✓ Git tracks all changes
• ✗ Requires careful merge work
• ✗ Higher risk of mistakes

Post-Application Steps

After applying the workflow (either option), complete these steps:

1. Validate workflow system:

# Check skills were copied
ls .claude/skills/  # Should show 9 skills

# Validate versions
python .claude/skills/workflow-utilities/scripts/validate_versions.py --verbose

2. Install dependencies:

uv sync
# Or if using pip
pip install -e ".[dev]"

3. Test quality gates:

# Run full quality suite
python .claude/skills/quality-enforcer/scripts/run_quality_gates.py

# Run tests with coverage
uv run pytest --cov=src --cov-fail-under=80

# Run linting
uv run ruff check src/ tests/

# Run type checking
uv run mypy src/

4. Review and update documentation:

# Review generated CLAUDE.md
cat CLAUDE.md
# Add code architecture section specific to your project

# Review generated README.md
cat README.md
# Ensure it accurately describes your project

# Review WORKFLOW.md
cat WORKFLOW.md
# Familiarize yourself with the 6-phase workflow

5. Start first workflow:

# Create BMAD planning for existing feature
python .claude/skills/bmad-planner/scripts/create_planning.py \
  existing-feature $(git config user.name)

# Or plan new feature
python .claude/skills/bmad-planner/scripts/create_planning.py \
  new-feature $(git config user.name)

Common Issues and Solutions

Issue 1: pyproject.toml conflicts with existing dependencies

Solution: Manually merge dependencies

# Keep your existing dependencies
[project]
dependencies = [
    "your-existing-dep>=1.0",
    "another-dep>=2.0",
]

# Add workflow dependencies
[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
    "ruff>=0.1.0",
    "mypy>=1.0",
]

# Keep workflow tool configurations
[tool.ruff]
# ... (from generated file)

[tool.mypy]
# ... (from generated file)

[tool.pytest.ini_options]
# ... (from generated file)

Issue 2: .gitignore conflicts with existing exclusions

Solution: Merge both .gitignore files

# Append workflow exclusions to your existing .gitignore
cat .workflow-backup/.gitignore > .gitignore.merged
cat .claude/skills/initialize-repository/templates/.gitignore >> .gitignore.merged
# Remove duplicates manually
sort .gitignore.merged | uniq > .gitignore

Issue 3: Existing tests fail with new quality gates

Solution: Adjust quality gate thresholds temporarily

# Check current coverage
uv run pytest --cov=src --cov-report=term

# If below 80%, set realistic initial target
# Edit pyproject.toml:
[tool.pytest.ini_options]
addopts = "--cov=src --cov-fail-under=60"  # Temporary lower threshold

# Plan to improve coverage over time
# Use quality-enforcer to track progress
python .claude/skills/quality-enforcer/scripts/run_quality_gates.py

Issue 4: Git branch structure conflicts

Solution: Adapt workflow branch structure

# If you use different branch names (e.g., 'master' instead of 'main')
# Update git-workflow-manager scripts to use your branch names

# Or rename your branches to match workflow
git branch -m master main
git branch develop
git branch contrib/$(git config user.name)

Recommendation Summary

For most existing repositories:

• ✓ Use Option A (Test Application) for safety
• ✓ Copy only workflow system (not domain content)
• ✓ Manually merge documentation
• ✓ Test thoroughly before committing
• ✓ Keep backup branch until confident

For simple existing repositories:

• If repository is small and simple
• If you're comfortable with git merge conflicts
• Consider Option B (Direct Application)
• Still keep backup branch

For complex existing repositories:

• Use Option A exclusively
• Consider gradual adoption (start with 1-2 skills)
• Customize workflow documentation for your project
• Plan migration over multiple iterations

Post-Application Steps

After initializing a repository with the workflow system, configure branch protection to enforce the workflow rules.

GitHub Branch Protection Setup

CRITICAL: Configure GitHub branch protection rules for main and develop branches.

Why this is important:

• Prevents accidental deletion of protected branches
• Prevents direct commits (bypassing review and quality gates)
• Enforces PR-based workflow
• Ensures quality gates run before merge

Setup instructions:

1. Navigate to GitHub repository settings:

   Your Repository → Settings → Branches → Branch protection rules
   

2. Add rule for main branch:

   • Click "Add rule"
   • Branch name pattern: main
   • ✅ Require pull request before merging
   • ✅ Require approvals: 1 (or more for team repositories)
   • ✅ Require status checks to pass before merging (if CI/CD configured)
   • ✅ Require conversation resolution before merging
   • ✅ Do not allow bypassing the above settings
   • Click "Create"

3. Add rule for develop branch:

   • Click "Add rule"
   • Branch name pattern: develop
   • ✅ Require pull request before merging
   • ✅ Require approvals: 1 (or more for team repositories)
   • ✅ Require status checks to pass before merging (if CI/CD configured)
   • Click "Create"

Detailed guide: See .github/BRANCH_PROTECTION.md in your new repository for step-by-step screenshots and troubleshooting.

Pre-push Hook Installation (Optional Safety Net)

Install the pre-push hook to prevent accidental direct pushes to main or develop:

cd /path/to/new-repo
cp .git-hooks/pre-push .git/hooks/pre-push
chmod +x .git/hooks/pre-push

What it does:

• Blocks direct pushes to main or develop
• Displays helpful error message
• Reminds you to create a pull request instead

Testing the hook:

# Try to push to main (should fail)
git checkout main
git commit --allow-empty -m "test"
git push origin main  # Hook blocks this

# Expected output:
# ERROR: Direct push to main is not allowed.
# Please create a pull request instead.

Azure DevOps Branch Policies (Alternative to GitHub)

If using Azure DevOps instead of GitHub:

1. Navigate to repository branch policies:

   Your Project → Repos → Branches → main → Branch policies
   

2. Configure main branch policies:

   • ✅ Require a minimum number of reviewers: 1
   • ✅ Check for linked work items: Enabled (optional)
   • ✅ Check for comment resolution: All
   • ✅ Limit merge types: Squash merge or Merge commit

3. Repeat for develop branch

Verification

After setup, verify protection is active:

# Attempt direct commit to main (should fail on remote)
git checkout main
git commit --allow-empty -m "test protection"
git push origin main

# Expected: GitHub/Azure DevOps rejects the push
# Success message: "remote: error: GH006: Protected branch update failed"

Post-Initialization Checklist

After running initialize_repository.py and configuring branch protection:

• Repository initialized and pushed to remote
• Branch protection configured for main
• Branch protection configured for develop
• Pre-push hook installed (optional)
• Hook tested (attempt direct push, verify it blocks)
• Dependencies installed (uv sync)
• Tests passing (uv run pytest)
• Ready to start Phase 1 (BMAD planning)

Error Handling

The script validates and handles errors at each phase:

Pre-flight checks:

• Required tools (git, gh) must be installed
• Source repository must have .claude/skills/ directory
• Source repository must have at least 3/9 skills
• Target directory warns if not empty

During execution:

• Invalid user input prompts retry
• Git commands wrapped in try/except
• File operations check for existence
• Remote setup handles authentication failures

Post-execution validation:

• Checks for all required files
• Checks for all required directories
• Reports missing items if validation fails

Exit codes:

• 0: Success (or user abort before changes)
• 1: Error (tool missing, invalid repo, operation failed)

Related Documentation

• scripts/initialize_repository.py - Main script (993 lines)
• CLAUDE.md - Claude Code usage context
• README.md - Human-readable overview
• CHANGELOG.md - Version history

Related Skills

Does NOT integrate with other skills - this is a meta-skill that creates the environment for them.

Creates foundation for:

• workflow-orchestrator (Phase 1-6 coordinator)
• bmad-planner (Phase 1: Planning)
• speckit-author (Phase 2: Specifications)
• git-workflow-manager (Phase 2-4: Git operations)
• quality-enforcer (Phase 3: Quality gates)
• tech-stack-adapter (detect configuration)
• workflow-utilities (shared utilities)

After initialization, users interact with the 7 workflow skills, not this meta-skill.