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### 新增内容 **GETTING_STARTED.md** (英文): - 添加"Scenario 4: Multi-Agent Brainstorming"场景示例 - 说明 `/workflow:brainstorm:auto-parallel` 命令的工作原理 - 列出 9 个可用专家角色（技术、产品设计、敏捷质量、API设计） - 解释工作流的 4 个阶段（框架生成、并行分析、综合整合、行动计划） - 提供使用时机指导 **GETTING_STARTED_CN.md** (中文): - 添加"场景 4：多智能体头脑风暴"场景示例 - 包含与英文版相同的详细说明和中文翻译 - 专家角色的中文注释（如"系统架构师"、"UI设计师"等） ### 功能亮点 **多智能体头脑风暴特性**: - 自动角色选择：基于主题关键词智能选择专家角色 - 并行执行：多个 AI 智能体同时从不同视角分析 - 灵活配置：支持 `--count` 参数控制角色数量（默认 3，最大 9） - 综合输出：生成包含跨角色洞察的完整规格说明 **示例命令**: ```bash /workflow:brainstorm:auto-parallel "设计实时协作文档编辑系统" /workflow:brainstorm:auto-parallel "构建可扩展微服务平台" --count 5 ``` ### 改进用户体验 这些更新帮助用户： 1. 了解何时使用头脑风暴工作流 2. 理解多视角分析的价值 3. 掌握头脑风暴到实现的完整流程 4. 根据项目复杂度选择合适的工具 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
🚀 Claude Code Workflow (CCW)
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.
🎉 Latest: v4.6.2 - Documentation Optimization &
/memory:loadCommand Refinement. See CHANGELOG.md for 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-*.jsonfiles 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:
- Start a Session:
/workflow:session:start "Implement user login feature" - Create a Plan:
/workflow:plan "Implement JWT-based user login and registration" - Execute the Plan:
/workflow:execute
🤝 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.