Command: /workspace:distribution-ready

Prepares the repository for public marketplace distribution by removing all computer-specific files, local patterns, performance data, and unnecessary files while preserving local functionality.

Purpose

• Clean repository for public marketplace distribution
• Remove computer-specific files and local data
• Optimize repository structure for plugin marketplace
• Preserve local functionality while cleaning remote repository
• Ensure cross-platform compatibility

What It Does

1. Repository Analysis (5-10 seconds)

• Scan repository for computer-specific files
• Identify local patterns and performance data
• Detect unnecessary files for marketplace
• Analyze current .gitignore coverage

2. File Classification (10-15 seconds)

• Essential Files: Plugin core functionality (agents, skills, commands, lib)
• Computer-Specific: .claude*, .reports, local patterns, performance data
• Local Development: improvements/, patterns/, generated reports
• Marketplace Ready: Documentation, plugin manifest, core components

3. Git Repository Cleanup (30-60 seconds)

• Remove computer-specific files from Git tracking
• Update .gitignore with comprehensive exclusions
• Clean repository while preserving local files
• Optimize for public distribution

4. Structure Verification (10-15 seconds)

• Verify all 22 agents are present and functional
• Confirm 17 skills are accessible
• Validate 39 commands are properly structured
• Check 140+ Python scripts for cross-platform compatibility

5. Marketplace Readiness Check (15-20 seconds)

• Validate plugin manifest completeness
• Check essential documentation presence
• Verify repository size optimization
• Confirm privacy and security compliance

Key Features

Smart File Preservation

Computer-Specific Files (Removed from tracking, kept locally):
+- .claude*/                    # Claude AI local directories
+- .reports*/                   # Local reports and data
+- improvements/                # Local improvement analysis
+- patterns/                    # Local auto-fix patterns
+- *performance*.json          # Performance metrics
+- *metrics*.json              # Local metrics
+- quality_history*.json       # Quality tracking
+- Generated release notes      # Local changelogs

Essential Files (Kept in repository):
+- agents/                     # 22 specialized agents
+- skills/                     # 17 knowledge packages
+- commands/                   # 39 slash commands
+- lib/                        # 140+ Python utilities
+- .claude-plugin/             # Plugin manifest
+- docs/                       # Essential documentation
+- README.md                   # Main documentation
+- assets/                     # Plugin assets

Enhanced Gitignore Protection

# Claude AI local directories (computer-specific)
.claude/
.claude-patterns/
.claude-unified/
.claude-preferences/
.claude-quality/
.claude-test/
data/reports/
.claudedata/reports/

# User-specific reports and data
.data/reports/
.reportscurrent/
.reportscurrentvalidation/

# Local patterns and performance data (computer-specific)
patterns/
improvements/
local_config.json
user_settings.json
*performance*.json
*metrics*.json
quality_history*.json
debugging_performance*.json
dashboard_*.json
*_backup*

# Temporary and backup files
*.tmp
*.log
*.backup
*~
.DS_Store
Thumbs.db

# OS generated files
lib/__pycache__/
__pycache__/
*.pyc
*.pyo

# Test files (local only)
dashboard_test.html
*.test.*
test_.*

# Local development files
.env.local
.env.local.*
local_settings.json
settings.local.json

# Generated reports (keep structure, clean content)
data/reports/generated/*
!data/reports/generated/.gitkeep

# Python cache and environment
*.egg-info/
.venv/
venv/
env/
ENV/

Cross-Platform Compatibility

• ✅ Windows path compatibility
• ✅ Linux/Unix compatibility
• ✅ macOS compatibility
• ✅ Python scripts work across platforms
• ✅ File locking handled properly

Automatic Learning Integration

The command integrates with the pattern learning system:

• Store distribution patterns: Record successful repository cleaning patterns
• Learn optimization: Improve file classification over time
• Track effectiveness: Monitor distribution success rates
• Share patterns: Cross-project distribution knowledge

Usage Examples

Basic Usage

# Prepare repository for marketplace distribution
/workspace:distribution-ready

# Include verbose output
/workspace:distribution-ready --verbose

# Dry run to see what would be removed
/workspace:distribution-ready --dry-run

Advanced Options

# Prepare with specific file preservation
/workspace:distribution-ready --keep "custom-data/"

# Force cleanup of additional patterns
/workspace:distribution-ready --aggressive

# Create backup before cleanup
/workspace:distribution-ready --backup

# Skip confirmation prompts
/workspace:distribution-ready --force

Analysis Mode

# Analyze only, don't make changes
/workspace:distribution-ready --analyze-only

# Show detailed file classification
/workspace:distribution-ready --classification

# Generate cleanup report
/workspace:distribution-ready --report

Output Format

Terminal Output (Concise)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📦 MARKETPLACE DISTRIBUTION PREPARATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Repository Analysis Complete
Files Scanned: 340
Essential Files: 304
Computer-Specific: 36

Cleanup Strategy: Optimize for marketplace

Files to Remove from Tracking:
+- .claude-patterns/ (23 files)
+- improvements/ (3 files)
+- patterns/ (1 file)
+- Generated reports (9 files)
+- Performance data (12 files)

Local Files Preserved: ✅ All 36 files
Git Protection: ✅ Enhanced .gitignore
Cross-Platform: ✅ Verified

Execute cleanup? [Y/n]: Y

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ DISTRIBUTION READY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

[PASS] Repository cleaned for marketplace distribution
[PASS] 36 computer-specific files removed from tracking
[PASS] 304 essential files preserved
[PASS] Enhanced gitignore protection implemented
[PASS] Cross-platform compatibility verified

Final Repository: 304 files (11MB reduction)
Ready for: Marketplace distribution and GitHub release

⏱ Completed in 2 minutes 15 seconds
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Detailed Report File

📄 Detailed report: .claude/data/reports/distribution-ready-2025-10-30.md

File Classification Details

Essential Files (Preserved)

• Plugin Core: agents/, skills/, commands/, lib/
• Documentation: README.md, docs/, assets/
• Configuration: .claude-plugin/, .github/workflows/
• Templates: Essential templates and examples
• Utilities: Core Python scripts and tools

Computer-Specific Files (Removed from Tracking)

• Local Patterns: .claude-patterns/ (all JSON files)
• Performance Data: quality history, metrics, debugging data
• Local Reports: .data/reports/, validation reports
• Development Files: improvements/, patterns/, test files
• Generated Content: Release notes, changelogs, generated docs

Protected but Local

• All removed files remain available locally
• Accessible for continued development and testing
• Automatically excluded from future commits
• Preserved across system reboots and updates

Integration with Existing Commands

Development Workflow

# Complete development work
/dev:commit --auto

# Prepare for marketplace release
/workspace:distribution-ready

# Create release
/dev:release

# Validate plugin readiness
/validate:plugin

Quality Assurance

# Check code quality
/analyze:quality

# Prepare repository
/workspace:distribution-ready

# Validate full structure
/validate:all

# Test plugin functionality
/debug:eval plugin-installation-test

Continuous Integration

# Automated cleanup in CI/CD
/workspace:distribution-ready --force

# Validate structure
/validate:fullstack

# Run tests
/test:comprehensive

Learning System Integration

Pattern Storage

{
  "distribution_patterns": {
    "computer_specific_files": [
      ".claude-patterns/*.json",
      "improvements/*.json",
      "patterns/*.json",
      "*performance*.json"
    ],
    "essential_directories": [
      "agents/",
      "skills/",
      "commands/",
      "lib/",
      "docs/"
    ],
    "gitignore_patterns": [
      ".claude*",
      ".reports*",
      "*performance*",
      "*metrics*"
    ],
    "success_rate": 0.98,
    "avg_cleanup_time": 135,
    "file_preservation_accuracy": 1.0
  }
}

Continuous Improvement

• File Classification Learning: Improve file type recognition
• Cleanup Strategy Optimization: Learn optimal cleanup approaches
• Cross-Project Patterns: Share successful distribution patterns
• Effectiveness Tracking: Monitor distribution success rates

Best Practices

When to Use

✅ Before marketplace submission ✅ Before GitHub releases ✅ Before plugin distribution ✅ After major development cycles ✅ When repository size becomes an issue

What Gets Preserved

✅ All plugin functionality - Commands work identically ✅ Learning capabilities - Pattern learning preserved locally ✅ Cross-platform compatibility - All scripts work ✅ Development workflow - Local development unaffected ✅ Performance tracking - Local metrics preserved

What Gets Removed

❌ Computer-specific patterns (preserved locally, not tracked) ❌ Performance metrics (preserved locally, not tracked) ❌ Local reports (preserved locally, not tracked) ❌ Generated content (preserved locally, not tracked) ❌ Development artifacts (preserved locally, not tracked)

Troubleshooting

Common Issues

Repository not clean enough

# Run with aggressive mode
/workspace:distribution-ready --aggressive

# Manually review remaining files
/workspace:distribution-ready --classification

Essential files accidentally removed

# Restore from Git history
git checkout HEAD~1 -- path/to/essential/file

# Check what was removed
git log --name-status -5

Local files missing after cleanup

# Verify local files still exist
ls -la .claude-patterns/ improvements/ patterns/

# Check gitignore protection
git status --ignored

Recovery Options

# Undo all changes (if needed)
git reset --hard HEAD~1

# Restore specific directories
git checkout HEAD~1 -- improvements/ patterns/

# Generate new patterns
/workspace:organize --regenerate-patterns

Performance Metrics

Expected performance:

Task	Time	Success Rate
Repository analysis	5-10s	100%
File classification	10-15s	98%
Git cleanup	30-60s	95%
Structure verification	10-15s	99%
Marketplace validation	15-20s	97%

Repository Size Reduction: 10-15MB average File Count Optimization: 30-50 files removed Learning Improvement: 25% faster classification after 5 uses

Examples

Example 1: Standard Distribution Prep

$ /workspace:distribution-ready

Scanning repository...
Found: 340 files total, 36 computer-specific

Classification:
[PASS] Essential: 304 files (agents, skills, commands, lib)
[PASS] Computer-specific: 36 files (patterns, metrics, reports)

Cleanup complete:
- Removed 36 files from tracking
- Enhanced .gitignore protection
- Preserved all local functionality
- Ready for marketplace distribution

Result: ✅ Distribution ready (304 files, 12MB reduction)

Example 2: Analysis Mode

$ /workspace:distribution-ready --analyze-only

Repository Analysis Report:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Essential Components ([PASS] Keep):
+- agents/ (22 files) - Core plugin functionality
+- skills/ (17 files) - Knowledge packages
+- commands/ (39 files) - Slash commands
+- lib/ (140 files) - Python utilities
+- docs/ (15 files) - Essential documentation

Computer-Specific Files (🗑 Remove from tracking):
+- .claude-patterns/ (23 files) - Local patterns
+- improvements/ (3 files) - Local improvements
+- patterns/ (1 file) - Auto-fix patterns
+- Generated content (9 files) - Reports/changelogs

Recommendation: Ready for marketplace distribution cleanup

Example 3: Aggressive Cleanup

$ /workspace:distribution-ready --aggressive --force

Aggressive cleanup mode enabled...
Additional patterns detected:
+- *.log files (5)
+- *.backup files (8)
+- Cache directories (3)
+- Temporary artifacts (12)

Executing comprehensive cleanup...
[PASS] Standard cleanup: 36 files removed
[PASS] Aggressive cleanup: 28 additional files removed
[PASS] Total optimization: 64 files removed
[PASS] Repository size reduction: 18MB

Marketplace ready: ✅ Optimized for distribution

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Version: 1.0.0 Integration: Uses workspace-organizer, git-repository-manager agents Skills: git-automation, pattern-learning, code-analysis, validation-standards Platform: Cross-platform (Windows, Linux, Mac) Learning: Full integration with pattern learning system Scope: Repository optimization for marketplace distribution only