Files
Claude-Code-Workflow/README.md

25 KiB
Raw Blame History

🚀 Claude Code Workflow (CCW)

Version License Platform MCP Tools

Languages: English | 中文


Claude Code Workflow (CCW) is a next-generation multi-agent automation framework that orchestrates complex software development tasks through intelligent workflow management and autonomous execution.

🎉 Latest: v4.3.0 - UI Design Workflow V2 with Self-Contained CSS Architecture. See CHANGELOG.md for details.

What's New in v4.3.0:

  • 🎨 Self-Contained CSS: Agents generate independent CSS directly from design-tokens.json
  • Simplified Workflow: Removed placeholder mechanism and token conversion steps
  • 💪 Better Style Diversity: CSS uses direct token values for stronger visual differentiation
  • 📉 31% Code Reduction: 346 lines removed with clearer responsibilities

Key Features

  • 🎯 Context-First Architecture: Pre-defined context gathering eliminates execution uncertainty and error accumulation.
  • 🤖 Multi-Agent System: Specialized agents (@code-developer, @test-fix-agent) with tech-stack awareness and automated test validation.
  • 🔄 End-to-End Workflow Automation: From brainstorming to deployment with multi-phase orchestration.
  • 📋 JSON-First Task Model: Structured task definitions with pre_analysis steps for deterministic execution.
  • 🧪 TDD Workflow Support: Complete Test-Driven Development with Red-Green-Refactor cycle enforcement.
  • 🧠 Multi-Model Orchestration: Leverages Gemini (analysis), Qwen (architecture), and Codex (implementation) strengths.
  • Pre-execution Verification: Validates plans with both strategic (Gemini) and technical (Codex) analysis.
  • 🔧 Unified CLI: A single, powerful /cli:* command set for interacting with various AI tools.
  • 📦 Smart Context Package: context-package.json links tasks to relevant codebase files and external examples.

⚙️ Installation

🚀 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)

📋 Interactive Version Selection

After running the installation command, you'll see an interactive menu with real-time version information:

Detecting latest release and commits...
Latest stable: v3.2.0 (2025-10-02 04:27 UTC)
Latest commit: cdea58f (2025-10-02 08:15 UTC)

====================================================
            Version Selection Menu
====================================================

1) Latest Stable Release (Recommended)
   |-- Version: v3.2.0
   |-- Released: 2025-10-02 04:27 UTC
   \-- Production-ready

2) Latest Development Version
   |-- Branch: main
   |-- Commit: cdea58f
   |-- Updated: 2025-10-02 08:15 UTC
   |-- Cutting-edge features
   \-- May contain experimental changes

3) Specific Release Version
   |-- Install a specific tagged release
   \-- Recent: v3.2.0, v3.1.0, v3.0.1

====================================================

Select version to install (1-3, default: 1):

Version Options:

  • Option 1 (Recommended): Latest stable release with verified production quality
  • Option 2: Latest development version from main branch with newest features
  • Option 3: Specific version tag for controlled deployments

💡 Pro Tip: The installer automatically detects and displays the latest version numbers and release dates from GitHub. Just press Enter to select the recommended stable release.

📦 Local Installation (Install-Claude.ps1)

For local installation without network access, use the bundled PowerShell installer:

Installation Modes:

# Interactive mode with prompts (recommended)
.\Install-Claude.ps1

# Quick install with automatic backup
.\Install-Claude.ps1 -Force -BackupAll

# Non-interactive install
.\Install-Claude.ps1 -NonInteractive -Force

Installation Options:

Mode Description Installs To
Global System-wide installation (default) ~/.claude/, ~/.codex/, ~/.gemini/
Path Custom directory + global hybrid Local: agents/, commands/
Global: workflows/, scripts/

Backup Behavior:

  • Default: Automatic backup enabled (-BackupAll)
  • Disable: Use -NoBackup flag (⚠️ overwrites without backup)
  • Backup location: claude-backup-{timestamp}/ in installation directory

⚠️ Important Warnings:

  • -Force -BackupAll: Silent file overwrite (with backup)
  • -NoBackup -Force: Permanent file overwrite (no recovery)
  • Global mode modifies user profile directories

Verify Installation

After installation, run the following command to ensure CCW is working:

/workflow:session:list

📝 Installation Notes:

  • The installer will automatically install/update .codex/ and .gemini/ directories
  • Global mode: Installs to ~/.codex and ~/.gemini
  • Path mode: Installs to your specified directory (e.g., project/.codex, project/.gemini)
  • Backup: Existing files are backed up by default to claude-backup-{timestamp}/
  • Safety: Use interactive mode for first-time installation to review changes

⚙️ Configuration

Prerequisites: Required Tools

Before using CCW, install the following command-line tools:

Core CLI Tools

Tool Purpose Installation
Gemini CLI AI analysis & documentation npm install -g @google/gemini-cli (GitHub)
Codex CLI AI development & implementation npm install -g @openai/codex (GitHub)
Qwen Code AI architecture & code generation npm install -g @qwen-code/qwen-code (Docs)

System Utilities

Tool Purpose Installation
ripgrep (rg) Fast code search Download or brew install ripgrep (macOS), apt install ripgrep (Ubuntu)
jq JSON processing Download or brew install jq (macOS), apt install jq (Ubuntu)

Quick Install (All Tools):

# macOS
brew install ripgrep jq
npm install -g @google/gemini-cli @openai/codex @qwen-code/qwen-code

# Ubuntu/Debian
sudo apt install ripgrep jq
npm install -g @google/gemini-cli @openai/codex @qwen-code/qwen-code

# Windows (Chocolatey)
choco install ripgrep jq
npm install -g @google/gemini-cli @openai/codex @qwen-code/qwen-code

Essential: Gemini CLI Setup

Configure Gemini CLI for optimal integration:

// ~/.gemini/settings.json
{
  "contextFileName": ["CLAUDE.md", "GEMINI.md"]
}

Optimize performance by excluding unnecessary files:

# .geminiignore (in project root)
/dist/
/build/
/node_modules/
/.next/
*.tmp
*.log
/temp/

# Include important docs
!README.md
!**/CLAUDE.md

MCP (Model Context Protocol) tools provide advanced codebase analysis. Recommended installation - While CCW has fallback mechanisms, not installing MCP tools may lead to unexpected behavior or degraded performance in some workflows.

Available MCP Servers

MCP Server Purpose Installation Guide
Exa MCP External API patterns & best practices Install Guide
Code Index MCP Advanced internal code search Install Guide

Benefits When Enabled

  • 📊 Faster Analysis: Direct codebase indexing vs manual searching
  • 🌐 External Context: Real-world API patterns and examples
  • 🔍 Advanced Search: Pattern matching and similarity detection
  • Better Reliability: Primary tools for certain workflows

⚠️ Note: Some workflows expect MCP tools to be available. Without them, you may experience:

  • Slower code analysis and search operations
  • Reduced context quality in some scenarios
  • Fallback to less efficient traditional tools
  • Potential unexpected behavior in advanced workflows

🚀 Getting Started

Complete Development Workflow

Phase 1: Brainstorming & Conceptual Planning

# Multi-perspective brainstorming with role-based agents
/workflow:brainstorm:auto-parallel "Build a user authentication system"

# Review and refine specific aspects (optional)
/workflow:brainstorm:ui-designer "authentication flows"
/workflow:brainstorm:synthesis  # Generate consolidated specification

Phase 2: UI Design Refinement (Optional for UI-heavy projects)

# Matrix Exploration Mode - Multiple style/layout variants (v4.2.1+)
/workflow:ui-design:explore-auto --prompt "Modern blog: home, article, author" --style-variants 3 --layout-variants 2

# Fast Imitation Mode - Single design replication (v4.2.1+)
/workflow:ui-design:imitate-auto --images "refs/design.png" --pages "dashboard,settings"

# With session integration
/workflow:ui-design:explore-auto --session WFS-auth --images "refs/*.png" --style-variants 2 --layout-variants 3

# Or run individual design phases
/workflow:ui-design:extract --images "refs/*.png" --variants 3
/workflow:ui-design:consolidate --variants "variant-1,variant-3"
/workflow:ui-design:generate --pages "dashboard,auth" --style-variants 2 --layout-variants 2

# Preview generated prototypes
# Option 1: Open .workflow/WFS-auth/.design/prototypes/compare.html in browser
# Option 2: Start local server
cd .workflow/WFS-auth/.design/prototypes && python -m http.server 8080
# Visit http://localhost:8080 for interactive preview with comparison tools

/workflow:ui-design:update --session WFS-auth --selected-prototypes "dashboard-s1-l2"

Phase 3: Action Planning

# Create executable implementation plan
/workflow:plan "Implement JWT-based authentication system"

# OR for TDD approach
/workflow:tdd-plan "Implement authentication with test-first development"

Phase 4: Execution

# Execute tasks with AI agents
/workflow:execute

# Monitor progress
/workflow:status

Phase 5: Testing & Quality Assurance

# Generate independent test-fix workflow (v3.2.2+)
/workflow:test-gen WFS-auth  # Creates WFS-test-auth session
/workflow:execute            # Runs test validation

# OR verify TDD compliance (TDD workflow)
/workflow:tdd-verify

Quick Start for Simple Tasks

Feature Development:

/workflow:session:start "Add password reset feature"
/workflow:plan "Email-based password reset with token expiry"
/workflow:execute

Bug Fixing:

# Interactive analysis with CLI tools
/cli:mode:bug-index --tool gemini "Login timeout on mobile devices"

# Execute the suggested fix
/workflow:execute

💡 When to Use Which Approach?

Use /workflow:plan + /workflow:execute for:

  • Complex features requiring multiple modules (>3 modules)
  • Tasks with multiple subtasks (>5 subtasks)
  • Cross-cutting changes affecting architecture
  • Features requiring coordination between components
  • When you need structured planning and progress tracking

Use Claude Code directly for:

  • Simple, focused changes (single file or module)
  • Quick bug fixes with clear solutions
  • Documentation updates
  • Code refactoring within one component
  • Straightforward feature additions

Code Analysis:

# Deep codebase analysis
/cli:mode:code-analysis --tool qwen "Analyze authentication module architecture"

🛠️ Command Reference

Unified CLI Commands (`/cli:*)

Use the --tool <gemini|qwen|codex> flag to select the desired tool. Defaults to gemini.

Command Description
/cli:analyze Deep codebase analysis.
/cli:chat Direct, interactive chat with a tool.
/cli:execute Execute a task with full permissions.
/cli:cli-init Initialize CLI tool configurations for the workspace.
/cli:mode:bug-index Analyze bugs and suggest fixes.
/cli:mode:code-analysis Perform deep code analysis and debugging.
/cli:mode:plan Project planning and architecture analysis.

Workflow Commands (`/workflow:*)

Command Description
/workflow:session:* Manage development sessions (start, pause, resume, list, switch, complete).
/workflow:brainstorm:* Use role-based agents for multi-perspective planning.
/workflow:ui-design:explore-auto v4.2.1 Matrix exploration mode - Generate multiple style × layout variants for comprehensive design exploration.
/workflow:ui-design:imitate-auto v4.2.1 Fast imitation mode - Rapid single-design replication with auto-screenshot and direct token extraction.
/workflow:ui-design:extract v4.2.1 Extract design from images/text using Claude-native analysis. Single-pass variant generation.
/workflow:ui-design:consolidate v4.2.1 Consolidate style variants into validated design tokens using Claude synthesis.
/workflow:ui-design:generate v4.2.1 Generate token-driven HTML/CSS prototypes in matrix mode (style × layout combinations).
/workflow:ui-design:update v4.2.1 Integrate finalized design system into brainstorming artifacts.
/workflow:plan Create a detailed, executable plan from a description.
/workflow:tdd-plan Create TDD workflow (6 phases) with test coverage analysis and Red-Green-Refactor cycles.
/workflow:execute Execute the current workflow plan autonomously.
/workflow:status Display the current status of the workflow.
/workflow:test-gen [--use-codex] <session> Create test generation workflow with auto-diagnosis and fix cycle for completed implementations.
/workflow:tdd-verify Verify TDD compliance and generate quality report.
/workflow:review Optional manual review (only use when explicitly needed - passing tests = approved code).
/workflow:tools:test-context-gather Analyze test coverage and identify missing test files.
/workflow:tools:test-concept-enhanced Generate test strategy and requirements analysis using Gemini.
/workflow:tools:test-task-generate Generate test task JSON with test-fix-cycle specification.

UI Design Workflow Commands (/workflow:ui-design:*) (v4.2.1)

The design workflow system provides complete UI design refinement with pure Claude execution, intelligent page inference, and zero external dependencies.

Core Commands

/workflow:ui-design:explore-auto - Matrix exploration mode

# Comprehensive exploration - multiple style × layout variants
/workflow:ui-design:explore-auto --prompt "Modern blog: home, article, author" --style-variants 3 --layout-variants 2

# With images and session integration
/workflow:ui-design:explore-auto --session WFS-auth --images "refs/*.png" --style-variants 2 --layout-variants 3

# Text-only mode with page inference
/workflow:ui-design:explore-auto --prompt "E-commerce: home, product, cart" --style-variants 2 --layout-variants 2
  • 🎯 Matrix Mode: Generate all style × layout combinations
  • 📊 Comprehensive Exploration: Compare multiple design directions
  • 🔍 Interactive Comparison: Side-by-side comparison with viewport controls
  • Cross-page Validation: Automatic consistency checks for multi-page designs
  • Batch Selection: Quick selection by style or layout

/workflow:ui-design:imitate-auto - Fast imitation mode

# Rapid single-design replication
/workflow:ui-design:imitate-auto --images "refs/design.png" --pages "dashboard,settings"

# With session integration
/workflow:ui-design:imitate-auto --session WFS-auth --images "refs/ui.png" --pages "home,product"

# Auto-screenshot from URL (requires Playwright)
/workflow:ui-design:imitate-auto --url "https://example.com" --pages "landing"
  • Speed Optimized: 5-10x faster than explore-auto
  • 📸 Auto-Screenshot: Automatic URL screenshot capture with Playwright/Chrome
  • 🎯 Direct Extraction: Skip variant selection, go straight to implementation
  • 🔧 Single Design Focus: Best for copying existing designs quickly

/workflow:ui-design:extract - Style analysis with dual input sources

# Pure text prompt
/workflow:ui-design:extract --prompt "Modern minimalist, dark theme" --variants 3

# Pure images
/workflow:ui-design:extract --images "refs/*.png" --variants 3

# Hybrid (text guides image analysis)
/workflow:ui-design:extract --images "refs/*.png" --prompt "Linear.app style" --variants 2
  • Claude-Native: Single-pass analysis, no external tools
  • Enhanced Output: style-cards.json with embedded proposed_tokens
  • Reproducible: Deterministic structure, version-controlled logic
  • Output: 1 file (vs 4+ in previous versions)

/workflow:ui-design:consolidate - Validate and merge tokens

# Consolidate selected style variants
/workflow:ui-design:consolidate --session WFS-auth --variants "variant-1,variant-3"
  • Claude Synthesis: Single-pass generation of all design system files
  • Features: WCAG AA validation, OKLCH colors, W3C token format
  • Output: design-tokens.json, style-guide.md, tailwind.config.js, validation-report.json

/workflow:ui-design:generate - Generate HTML/CSS prototypes

# Matrix mode - style × layout combinations
/workflow:ui-design:generate --pages "dashboard,auth" --style-variants 2 --layout-variants 3

# Single page with multiple variants
/workflow:ui-design:generate --pages "home" --style-variants 3 --layout-variants 2
  • 🎯 Matrix Generation: Creates all style × layout combinations
  • 📊 Multi-page Support: Consistent design system across pages
  • Consistency Validation: Automatic cross-page consistency reports (v4.2.0+)
  • 🔍 Interactive Preview: compare.html with side-by-side comparison
  • 📋 Batch Selection: Quick selection by style or layout filters

/workflow:ui-design:update - Integrate design system

# Update brainstorming artifacts with design system
/workflow:ui-design:update --session WFS-auth --selected-prototypes "login-variant-1"
  • Updates: synthesis-specification.md, ui-designer/style-guide.md
  • Makes design tokens available for task generation

Preview System

After running ui-generate, you get interactive preview tools:

Quick Preview (Direct Browser):

# Navigate to prototypes directory
cd .workflow/WFS-auth/.design/prototypes
# Open index.html in browser (double-click or):
open index.html  # macOS
start index.html  # Windows
xdg-open index.html  # Linux

Full Preview (Local Server - Recommended):

cd .workflow/WFS-auth/.design/prototypes
# Choose one:
python -m http.server 8080      # Python
npx http-server -p 8080         # Node.js
php -S localhost:8080           # PHP
# Visit: http://localhost:8080

Preview Features:

  • index.html: Master navigation with all prototypes
  • compare.html: Side-by-side comparison with viewport controls (Desktop/Tablet/Mobile)
  • Synchronized scrolling for layout comparison
  • Dynamic page switching
  • Real-time responsive testing

Task & Memory Commands

Command Description
/task:* Manage individual tasks (create, breakdown, execute, replan).
/update-memory-full Re-index the entire project documentation.
/update-memory-related Update documentation related to recent changes.
/version Display version information and check for updates from GitHub.

🧩 How It Works: Design Philosophy

The Core Problem

Traditional AI coding workflows face a fundamental challenge: execution uncertainty leads to error accumulation.

Example:

# Prompt 1: "Develop XX feature"
# Prompt 2: "Review XX architecture in file Y, then develop XX feature"

While Prompt 1 might succeed for simple tasks, in complex workflows:

  • The AI may examine different files each time
  • Small deviations compound across multiple steps
  • Final output drifts from the intended goal

CCW's Mission: Solve the "1-to-N" problem — building upon existing codebases with precision, not just "0-to-1" greenfield development.


The CCW Solution: Context-First Architecture

1. Pre-defined Context Gathering

Instead of letting agents randomly explore, CCW uses structured context packages:

context-package.json created during planning:

{
  "metadata": {
    "task_description": "...",
    "tech_stack": {"frontend": [...], "backend": [...]},
    "complexity": "high"
  },
  "assets": [
    {
      "path": "synthesis-specification.md",
      "priority": "critical",
      "sections": ["Backend Module Structure"]
    }
  ],
  "implementation_guidance": {
    "start_with": ["Step 1", "Step 2"],
    "critical_security_items": [...]
  }
}

2. JSON-First Task Model

Each task includes a flow_control.pre_analysis section:

{
  "id": "IMPL-1",
  "flow_control": {
    "pre_analysis": [
      {
        "step": "load_architecture",
        "commands": ["Read(architecture.md)", "grep 'auth' src/"],
        "output_to": "arch_context",
        "on_error": "fail"
      }
    ],
    "implementation_approach": {
      "modification_points": ["..."],
      "logic_flow": ["..."]
    },
    "target_files": ["src/auth/index.ts"]
  }
}

Key Innovation: The pre_analysis steps are executed before implementation, ensuring agents always have the correct context.

3. Multi-Phase Orchestration

CCW workflows are orchestrators that coordinate slash commands:

Planning Phase (/workflow:plan):

Phase 1: session:start       → Create session
Phase 2: context-gather      → Build context-package.json
Phase 3: concept-enhanced    → CLI analysis (Gemini/Qwen)
Phase 4: task-generate       → Generate task JSONs with pre_analysis

Execution Phase (/workflow:execute):

For each task:
  1. Execute pre_analysis steps → Load context
  2. Apply implementation_approach → Make changes
  3. Validate acceptance criteria → Verify success
  4. Generate summary → Track progress

4. Multi-Model Orchestration

Each AI model serves its strength:

Model Role Use Cases
Gemini Analysis & Understanding Long-context analysis, architecture review, bug investigation
Qwen Architecture & Design System design, code generation, architectural planning
Codex Implementation Feature development, testing, autonomous execution

Example:

# Gemini analyzes the problem space
/cli:mode:code-analysis --tool gemini "Analyze auth module"

# Qwen designs the solution
/cli:analyze --tool qwen "Design scalable auth architecture"

# Codex implements the code
/workflow:execute  # Uses @code-developer with Codex

From 0-to-1 vs 1-to-N Development

Scenario Traditional Workflow CCW Approach
Greenfield (0→1) Works well Adds structured planning
Feature Addition (1→2) ⚠️ Context uncertainty Context-package links to existing code
Bug Fixing (N→N+1) ⚠️ May miss related code Pre-analysis finds dependencies
Refactoring ⚠️ Unpredictable scope CLI analysis + structured tasks

Key Workflows

Complete Development (Brainstorm → Deploy)

Brainstorm (8 roles) → Synthesis → Plan (4 phases) → Execute → Test → Review

Quick Feature Development

session:start → plan → execute → test-gen → execute

TDD Workflow

tdd-plan (TEST→IMPL→REFACTOR chains) → execute → tdd-verify

Bug Fixing

cli:mode:bug-index (analyze) → execute (fix) → test-gen (verify)

🤝 Contributing & Support

📄 License

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