🚀 Claude Code Workflow (CCW)

Languages: English | 中文

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Claude Code Workflow (CCW) transforms AI development from simple prompt chaining into a robust, context-first orchestration system. It solves execution uncertainty and error accumulation through structured planning, deterministic execution, and intelligent multi-model orchestration.

🎉 Version 5.8.1: Lite-Plan Workflow & CLI Tools Enhancement

Core Improvements:

• ✨ Lite-Plan Workflow (/workflow:lite-plan) - Lightweight interactive planning with intelligent automation
  • Three-Dimensional Multi-Select Confirmation: Task approval + Execution method + Code review tool
  • Smart Code Exploration: Auto-detects when codebase context is needed (use -e flag to force)
  • Parallel Task Execution: Identifies independent tasks for concurrent execution
  • Flexible Execution: Choose between Agent (@code-developer) or CLI (Gemini/Qwen/Codex)
  • Optional Post-Review: Built-in code quality analysis with your choice of AI tool
• ✨ CLI Tools Optimization - Simplified command syntax with auto-model-selection
  • Removed -m parameter requirement for Gemini, Qwen, and Codex (auto-selects best model)
  • Clearer command structure and improved documentation
• 🔄 Execution Workflow Enhancement - Streamlined phases with lazy loading strategy
• 🎨 CLI Explore Agent - Improved visibility with yellow color scheme

See CHANGELOG.md for full details.

📚 New to CCW? Check out the Getting Started Guide for a beginner-friendly 5-minute tutorial!

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✨ Core Concepts

CCW is built on a set of core principles that differentiate it from traditional AI development approaches:

• Context-First Architecture: Pre-defined context gathering eliminates execution uncertainty by ensuring agents have the correct information before implementation.
• JSON-First State Management: Task states live in .task/IMPL-*.json files as the single source of truth, enabling programmatic orchestration without state drift.
• Autonomous Multi-Phase Orchestration: Commands chain specialized sub-commands and agents to automate complex workflows with zero user intervention.
• Multi-Model Strategy: Leverages the unique strengths of different AI models (Gemini for analysis, Codex for implementation) for superior results.
• Hierarchical Memory System: A 4-layer documentation system provides context at the appropriate level of abstraction, preventing information overload.
• Specialized Role-Based Agents: A suite of agents (@code-developer, @test-fix-agent, etc.) mirrors a real software team to handle diverse tasks.

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⚙️ Installation

For detailed installation instructions, please refer to the INSTALL.md guide.

🚀 Quick One-Line Installation

Windows (PowerShell):

Invoke-Expression (Invoke-WebRequest -Uri "https://raw.githubusercontent.com/catlog22/Claude-Code-Workflow/main/install-remote.ps1" -UseBasicParsing).Content

Linux/macOS (Bash/Zsh):

bash <(curl -fsSL https://raw.githubusercontent.com/catlog22/Claude-Code-Workflow/main/install-remote.sh)

✅ Verify Installation

After installation, open Claude Code and check if the workflow commands are available by running:

/workflow:session:list

If the slash commands (e.g., /workflow:*) are recognized, the installation was successful.

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🛠️ Command Reference

CCW provides a rich set of commands for managing workflows, tasks, and interacting with AI tools. For a complete list and detailed descriptions of all available commands, please see the COMMAND_REFERENCE.md file.

For a detailed technical specification of every command, see the COMMAND_SPEC.md.

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💡 Need Help? Use the Interactive Command Guide

CCW includes a built-in command-guide skill to help you discover and use commands effectively:

• CCW-help - Get interactive help and command recommendations
• CCW-issue - Report bugs or request features with guided templates

The command guide provides:

• 🔍 Smart Command Search - Find commands by keyword, category, or use-case
• 🤖 Next-Step Recommendations - Get suggestions for what to do after any command
• 📖 Detailed Documentation - View parameters, examples, and best practices
• 🎓 Beginner Onboarding - Learn the top 14 essential commands with a guided learning path
• 📝 Issue Reporting - Generate standardized bug reports and feature requests

Example Usage:

User: "CCW-help"
→ Interactive menu with command search, recommendations, and documentation

User: "What's next after /workflow:plan?"
→ Recommends /workflow:execute, /workflow:action-plan-verify, with workflow patterns

User: "CCW-issue"
→ Guided template generation for bugs, features, or questions

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🚀 Getting Started

The best way to get started is to follow the 5-minute tutorial in the Getting Started Guide.

Here is a quick example of a common development workflow:

Option 1: Lite-Plan Workflow (⚡ Recommended for Quick Tasks)

Lightweight interactive workflow with in-memory planning and immediate execution:

# Basic usage with auto-detection
/workflow:lite-plan "Add JWT authentication to user login"

# Force code exploration
/workflow:lite-plan -e "Refactor logging module for better performance"

# Preset CLI tool
/workflow:lite-plan --tool codex "Add unit tests for auth service"

Interactive Flow:

1. Phase 1: Automatic task analysis and smart code exploration (if needed)
2. Phase 2: Answer clarification questions (if any)
3. Phase 3: Review generated plan with task breakdown
4. Phase 4: Three-dimensional confirmation:
   • ✅ Confirm/Modify/Cancel task
   • 🔧 Choose execution: Agent / Provide Plan / CLI (Gemini/Qwen/Codex)
   • 🔍 Optional code review: No / Claude / Gemini / Qwen / Codex
5. Phase 5: Watch real-time execution with live task tracking

Option 2: Full Workflow (Comprehensive Planning)

Traditional multi-phase workflow for complex projects:

1. Create a Plan (automatically starts a session):

   /workflow:plan "Implement JWT-based user login and registration"
   

2. Execute the Plan:

   /workflow:execute
   

3. Check Status (optional):

   /workflow:status
   

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🤝 Contributing & Support

• Repository: GitHub - Claude-Code-Workflow
• Issues: Report bugs or request features on GitHub Issues.
• Discussions: Join the Community Forum.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.