catlog22 164d1df341 docs: 更新文档以反映v5.4.0版本更新
更新内容:
- CHANGELOG.md:添加v5.4.0完整更新日志
  - CLI模板系统重组(19个模板,优先级前缀)
  - Gemini 404错误回退策略
  - 21处模板引用更新
  - 目录结构优化

- README.md & README_CN.md:更新版本号和核心亮点
  - 版本徽章:v5.2.0 → v5.4.0
  - 版本说明:更新为v5.4核心改进
  - 突出优先级模板、错误处理、统一引用、组织优化

文档变更详情:
- 完整的v5.4.0变更日志(141行)
- 双语README版本信息同步更新
- 清晰的升级说明和使用指南

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-06 11:07:43 +08:00

🚀 Claude Code Workflow (CCW)

Version License Platform

Languages: English | 中文


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 5.4: CLI Template System Reorganization

Core Improvements:

  • Priority-Based Templates - 19 templates reorganized with clear priority prefixes (01-universal, 02-specialized, 03-domain)
  • Enhanced Error Handling - Automatic Gemini 404 fallback to gemini-2.5-pro
  • Unified References - All 21 template references updated across 5 command files
  • Better Organization - Bug diagnosis moved to analysis/, redundant directories removed

See CHANGELOG.md for full details.

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


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.

⚙️ 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.


🛠️ 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.


🚀 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:

  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
    

🤝 Contributing & Support

📄 License

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

Description
JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
Readme MIT 33 MiB
Languages
TypeScript 38.2%
Python 24.2%
HTML 16.3%
JavaScript 15.2%
CSS 4.5%
Other 1.6%