🚀 Revolutionary AI-powered development workflow orchestration system ## 🔥 Core Innovations - **Document-State Separation**: Markdown for planning, JSON for execution state - **Progressive Complexity Management**: Level 0-2 adaptive workflow depth - **5-Agent Orchestration**: Specialized AI agents with context preservation - **Session-First Architecture**: Auto-discovery and state inheritance ## 🏗️ Key Features - Intelligent workflow orchestration (Simple/Medium/Complex patterns) - Real-time document-state synchronization with conflict resolution - Hierarchical task management with 3-level JSON structure - Gemini CLI integration with 12+ specialized templates - Comprehensive file output generation for all workflow commands ## 📦 Installation Remote one-liner installation: ``` iex (iwr -useb https://raw.githubusercontent.com/catlog22/Claude-CCW/main/install-remote.ps1) ``` ## 🎯 System Architecture 4-layer intelligent development architecture: 1. Command Layer - Smart routing and version management 2. Agent Layer - 5 specialized development agents 3. Workflow Layer - Gemini templates and task orchestration 4. Memory Layer - Distributed documentation and auto-sync 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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Gemini Agent Templates Overview
Precise, task-focused templates for actionable agent context gathering.
Overview
This document provides focused templates that deliver precise, actionable context for specific tasks rather than generic pattern analysis. Each template targets exact requirements, modification points, and concrete implementation guidance.
Template Usage Guidelines
Key Principles
- Task-Specific Focus: Templates target specific tasks rather than broad analysis
- Actionable Output: Provide exact file:line references and concrete guidance
- Repository Context: Extract patterns specific to the actual codebase
- Precise Scope: Analyze only what's needed for the immediate task
When to Use Each Template
Planning Agent: Before creating implementation plans for specific features or fixes
- Use when you need to understand exact scope and modification points
- Focus on concrete deliverables rather than architectural overviews
Code Developer: Before implementing specific functions, classes, or features
- Use when you need exact insertion points and code structure guidance
- Focus on actionable implementation steps with line references
Code Review: After code has been written for a specific task
- Use when reviewing changes against repository-specific standards
- Focus on understanding what was actually implemented and how it fits
UI Design: Before creating or modifying specific UI components
- Use when you need component-specific patterns and design system compliance
- Focus on established design language and interaction patterns
Memory-Gemini-Bridge: For creating or updating CLAUDE.md files
- Use when establishing hierarchical documentation strategy
- Focus on cross-system compatibility between Claude and Gemini CLI
Benefits of Task-Focused Approach
- Precision: Get exact modification points instead of general patterns
- Efficiency: 50% reduction in irrelevant analysis
- Actionability: Concrete guidance with file:line references
- Context Relevance: Repository-specific patterns, not generic best practices
- Task Alignment: Analysis directly supports the specific work being done
Template Customization
Customize templates by:
- Specific File Targeting: Replace
[task-related-files]with exact patterns for your task - Domain Context: Add domain-specific file patterns (auth, api, ui, etc.)
- Technology Focus: Include relevant extensions (.tsx for React, .py for Python, etc.)
- Task Context: Specify exact feature or component being worked on
These focused templates provide agents with precise, actionable context for specific tasks, eliminating unnecessary pattern analysis and providing concrete implementation guidance.
Integration with Intelligent Context
All templates integrate with gemini-intelligent-context.md(@~/.claude/workflows/gemini-intelligent-context.md) for:
- Smart Path Detection - Automatic file targeting based on analysis type
- Technology Stack Detection - Framework and language-specific optimizations
- Domain Context Mapping - Intelligent domain-specific pattern matching
- Dynamic Prompt Enhancement - Context-aware prompt construction
For complete context detection algorithms and intelligent file targeting, see gemini-intelligent-context.md.