type(scope): description - @agent1 @agent2
- ✅ Identify contributing agents
- ✅ Format:
type(scope): description - @agent1 @agent2 - ✅ Include standard attribution footer
- ✅ Verify agent attribution requirements
For configuration: Include @team-configurator + technical expert
For API: Include @api-architect + security expert
For database: Include @database-admin + performance expert
Version 2.0 - 88 specialized agents across 18 categories with vibe coding, parallel execution, exponential planning, and comprehensive safety validation based on Anthropic's Code with Claude insights.
Quality agents operate under high-stakes motivation for maximum code delivery:
Active Agents:
@software-engineering-expert- Perfect code quality required@code-reviewer- Catch every bug, security flaw, quality issue@quality-system-engineer- Flawless quality systems prevent defects@performance-optimizer- Every millisecond matters
Quality Standards: First-attempt compilation, zero vulnerabilities, comprehensive docs. Python Quality: Pyright type checking (when available), proper type hints, zero type errors.
🎭 AUTO-ACTIVE FEATURES:
- Vibe Coding Engine: 15-20 minute preparation phases for autonomous development
- Parallel Execution: Coordinated multi-agent parallel development with tool batching
- Exponential Planning: AI capability-aware long-term development strategies
- Safety Validation: Comprehensive pre-deployment testing and architectural analysis
- Dynamic Permissions: Real-time permission escalation with risk assessment
- Session Optimization: Intelligent context management and token efficiency
- Choreography Engine: Auto-detects collaboration patterns
- Personality System: Adaptive communication based on success patterns
- Workflow Coordination: Quality gates with context preservation
- Learning Intelligence: Continuous improvement through outcome analysis
Tech Stack: Rails, Django, Laravel, Node.js/TypeScript, Go, React, Vue.js, Next.js, Nuxt.js
Integrations: GitHub MCP, Task Master MCP, Context7 MCP, Basic Memory MCP, Sequential Thinking MCP, Zen MCP Server
Quality: Trunk.io linting, Pyright type checking (Python), Cockatiel/Hyx/GoBreaker resilience, Pino/Zap logging
@vibe-coding-coordinator- 15-20 minute preparation phases, comprehensive briefing creation@exponential-planner- Multi-hour task decomposition with AI capability scaling awareness@session-manager- State preservation, resumable workflows, context continuity
@leaf-node-detector- Architectural safety analysis, safe autonomous development zones@permission-escalator- Dynamic permission management, risk-based escalation workflows@verification-specialist- Human-readable testing, end-to-end verification strategies@agent-environment-simulator- Pre-deployment testing, comprehensive agent validation
@parallel-coordinator- Multi-agent parallel execution, coordinated tool calling@tool-batch-optimizer- Efficient tool batching, resource utilization optimization@session-optimizer- Context management, token efficiency, memory optimization
@orchestrator- Multi-dimensional analysis, intelligent selection, parallel execution@tech-lead-orchestrator- Enterprise architecture, ADRs, crisis leadership@project-analyst- PRD processing, task decomposition, stakeholder management@team-configurator- Stack detection, agent assembly, success pattern analysis@enhanced-agent-organizer- Meta-orchestration, "Specialization Over Generalization"@knowledge-graph-manager- Context management, briefing generation@agent-communication-protocol- JSON coordination, workflow tracking@intelligent-agent-selector- Context-aware selection, performance matching@enhanced-agent-template- Three-phase coordination (Context → Process → Completion)
@software-engineering-expert- Code quality, architecture (Evil Corp framework)@quality-system-engineer- Trunk.io integration, quality gates (Evil Corp framework)@resilience-engineer- Circuit breakers, retry mechanisms, fault tolerance@logging-concepts-engineer- JSON logging, observability@api-architect- REST/GraphQL design patterns@graphql-architect- Schema design, federation, subscriptions@backend-developer- General backend architecture@frontend-developer- UI/UX implementation@tailwind-css-expert- Responsive design@developer-experience-optimizer- Productivity, automation, tooling@legacy-modernization-specialist- 6 R's framework, strangler fig patterns@context-management-enhancement- Three-tier optimization, relevance scoring
@rails-expert- ActiveRecord, Rails APIs, MVC patterns@django-expert- Django ORM, REST APIs, middleware@laravel-backend-expert- Eloquent ORM, PHP patterns@typescript-cockatiel-resilience- Node.js resilience patterns@typescript-pino-logging- Node.js structured logging@go-resilience-engineer- Go fault tolerance@go-zap-logging- Go structured logging@python-hyx-resilience- Elite Python, async patterns, Hyx integration
@react-component-architect- Component design, JSX patterns@react-state-manager- Redux, Context API, custom hooks@react-nextjs-expert- SSR, routing, Next.js optimizations@vue-component-architect- Vue components, composition API@vue-state-manager- Vuex, Pinia, reactive state@vue-nuxt-expert- Server-side rendering, Nuxt modules
@code-archaeologist- Legacy analysis, technical debt assessment@code-reviewer- Code reviews, quality assurance (Evil Corp framework)@pr-reviewer-specialist- Interactive PR analysis, GitHub integration@documentation-specialist- Technical writing, API docs + Context7 MCP@performance-optimizer- Analysis, optimization, profiling (Evil Corp framework)@git-expert- Merge conflicts, PR management + GitHub MCP
- Database/ORM:
@rails-activerecord-expert,@django-orm-expert,@laravel-eloquent-expert,@rails-api-developer,@django-api-developer - Business & Product:
@product-manager,@business-analyst,@ux-designer,@financial-modeling-agent - Infrastructure:
@devops-troubleshooter,@cloud-architect,@database-admin,@incident-responder,@network-engineer,@terraform-specialist - AI/ML:
@prompt-engineer,@error-detective,@machine-learning-engineer,@computer-vision-specialist,@nlp-llm-integration-expert - Security:
@security-specialist,@privacy-engineer,@devsecops-engineer - Mobile/Advanced:
@mobile-developer,@webassembly-specialist,@micro-frontend-architect,@pwa-specialist - Reliability:
@serverless-architect,@site-reliability-engineer,@observability-engineer,@pulumi-typescript-specialist - DevOps:
@cicd-pipeline-engineer,@qa-automation-engineer,@release-manager - Data:
@data-engineer,@analytics-implementation-specialist,@business-intelligence-developer,@search-specialist - Domain:
@payment-integration-agent,@healthcare-compliance-agent,@code-refactoring-specialist,@joker
- "Autonomously implement user dashboard" → Vibe Coding Preparation → Autonomous Development
- "Build complete e-commerce platform over 4 hours" → Exponential Planning → Parallel Execution
- "Safely modify authentication system" → Leaf Node Detection → Permission Escalation
- "Optimize this complex workflow" → Parallel Coordination → Tool Batch Optimization
- "implement user authentication" → Feature Development Dance
- "fix the login bug" → Bug Hunting Tango
- "review this PR" → Code Review Waltz
"Use @vibe-coding-coordinator to autonomously build user notifications"
"Use @exponential-planner for complex multi-day project architecture"
"Use @parallel-coordinator to optimize 5-agent development workflow"
"Use @leaf-node-detector to safely modify legacy authentication"
"Use @orchestrator to build scalable e-commerce platform"
"Use @pr-reviewer-specialist to review PR #123"
"Use @quality-system-engineer to set up quality checks"
"Use @legacy-modernization-specialist to modernize monolith"
- Vibe Coding:
@vibe-coding-coordinator→@leaf-node-detector→ specialist agents →@verification-specialist - Parallel Development:
@parallel-coordinator+@session-manager+ multiple specialist agents - Exponential Planning:
@exponential-planner→ phased implementation →@session-optimizer - Safe Autonomous:
@leaf-node-detector→@permission-escalator→ autonomous development - Backend:
@resilience-engineer+ framework expert + Basic Memory MCP - API:
@api-architect/@graphql-architect+ framework specialist + Basic Memory MCP - Frontend: Framework architect + Context7 MCP + Basic Memory MCP
- Quality:
@software-engineering-expert+ Context7 MCP + Basic Memory MCP - Git/PR:
@git-expert/@pr-reviewer-specialist+ GitHub MCP + Basic Memory MCP
Multi-AI Model Collaborative Intelligence - 27 agents enhanced with multi-model capabilities:
- 🚀 Vibe Coding Powerhouse:
@vibe-coding-coordinator(chat+thinkdeep+planner) →@leaf-node-detector(analyze) →@software-engineering-expert(thinkdeep+analyze+refactor) →@verification-specialist(analyze+testgen) - ⚡ Exponential Architecture:
@exponential-planner(thinkdeep+planner) →@system-architect(thinkdeep+analyze) →@orchestrator(chat+thinkdeep+consensus) → specialist agents - 🔒 Security-First Pipeline:
@security-specialist(analyze+debug+secaudit) →@code-reviewer(codereview+analyze+secaudit) →@pr-reviewer-specialist(codereview+analyze+secaudit)
- 🔧 Legacy Modernization:
@legacy-modernization-specialist(refactor) →@software-engineering-expert(thinkdeep+analyze+refactor) →@test-automation-expert(testgen) - 🎯 Consensus Decisions:
@orchestrator(consensus) +@team-configurator(consensus) for multi-AI technical validation - 📋 Interactive Planning:
@exponential-planner(planner) +@project-analyst(planner) +@vibe-coding-coordinator(planner) for comprehensive project breakdown
- Cross-Model Intelligence: Leverage Gemini, GPT-4, Claude, and local models for specialized capabilities
- Collaborative Validation: Multi-perspective analysis for critical decisions and architecture
- Adaptive Workflows: Automatic model selection based on task complexity and requirements
📖 Full Documentation: Zen MCP Workflows Guide
Agents evolve communication style based on success patterns. Control with:
- "Be more direct" / "Keep it brief" / "Explain thoroughly"
Vibe Coding Flow: Context Gathering (15-20min) → Safety Analysis → Autonomous Development → Verification
Exponential Development: Capability Assessment → Multi-Phase Planning → Progressive Implementation → Future-Proofing
Parallel Coordination: Task Decomposition → Agent Assignment → Coordinated Execution → Integration
Safety-First Autonomous: Architectural Analysis → Permission Setup → Leaf Node Development → Continuous Verification
Backend Resilience: Analysis → Logging Setup → Implementation → Integration
New Service: Architecture → Implementation → Specialization
Frontend App: Planning → Components → State → Framework Integration
Product-Led: Requirements → Analysis → Design → Architecture
Infrastructure: Architecture → Implementation → Monitoring → Response
Security-First: Assessment → Architecture → Implementation → Validation
Legacy Modernization: Assessment → Planning → Implementation → Migration
- GitHub MCP: Live repository operations, PR management
- Task Master MCP: Project management, complexity analysis
- Context7 MCP: Live library documentation, code examples
- Basic Memory MCP: Persistent knowledge, organizational learning
- Sequential Thinking MCP: Complex multi-step reasoning with adaptive planning and course correction
- Zen MCP Server: Multi-AI model orchestration, collaborative intelligence
- GitHub:
@git-expert,@code-reviewer,@cicd-pipeline-engineer,@pr-reviewer-specialist,@session-manager - Task Master:
@tech-lead-orchestrator,@project-analyst,@team-configurator,@exponential-planner,@parallel-coordinator - Context7:
@documentation-specialist, framework specialists,@api-architect,@verification-specialist - Basic Memory: All core development agents + new context orchestrators, safety specialists, and performance optimizers
- Sequential Thinking:
@orchestrator,@system-architect,@cloud-architect,@database-architect,@error-detective,@rubber-duck-debugger,@vibe-coding-coordinator,@exponential-planner,@session-manager,@leaf-node-detector,@permission-escalator,@verification-specialist,@parallel-coordinator,@tool-batch-optimizer,@session-optimizer - Zen:
@orchestrator,@code-reviewer,@error-detective,@software-engineering-expert,@vibe-coding-coordinator, multi-model collaboration
ALL AGENTS MUST USE MCP SERVERS for persistent operations and memory storage:
mcp__basic-memory__*- All knowledge storage, pattern recognition, organizational learningmcp__github__*- All repository operations, PR management, branch operationsmcp__task-master__*- All project management, task tracking, complexity analysismcp__context7__*- All library documentation, framework research, code examplesmcp__sequential-thinking__*- All complex multi-step reasoning and adaptive planningmcp__zen__*- All multi-AI model orchestration, collaborative reasoning
Write(file_path: "...")- Creating any new files outside of codebase- File creation for memory/notes - Use Basic Memory MCP instead
- Manual documentation creation - Use Context7 MCP or existing file editing
- Direct file system storage - Use appropriate MCP servers
Read- Reading existing project files and codebaseEdit/MultiEdit- Modifying existing project files and codeBash- Build tools, package managers, git commands, system operationsGrep/Glob/LS- Searching and exploring existing codebase
- Memory & Learning: Store insights, patterns, and knowledge in Basic Memory MCP
- Code Operations: Use GitHub MCP for all repository and version control operations
- Task Management: Use Task Master MCP for project coordination and complexity analysis
- Research: Use Context7 MCP for up-to-date library documentation and examples
- Complex Reasoning: Use Sequential Thinking MCP for multi-step analysis and planning
- Multi-AI Collaboration: Use Zen MCP Server for multi-model orchestration and enhanced intelligence
Advanced Capabilities: Context orchestrators and safety specialists provide foundation for autonomous development
Universal Foundations: Backend agents follow @resilience-engineer + @logging-concepts-engineer patterns
MCP Enhanced: All core agents leverage Basic Memory MCP for organizational learning
Live Operations: Repository agents use GitHub MCP, docs agents use Context7 MCP
Performance Optimized: All workflows enhanced with parallel execution and resource optimization
MANDATORY: type(scope): description - @agent1 @agent2
Claude Code automatically includes agent attribution in all commits for traceability.
Your AI development team is now an EXPONENTIAL, AUTONOMOUS orchestration system with vibe coding, parallel execution, and comprehensive safety validation! 🚀🤖⚡
✅ Vibe Coding: 15-20 minute preparation phases for autonomous development
✅ Parallel Execution: Coordinated multi-agent development with tool batching
✅ Exponential Planning: AI capability-aware long-term development strategies
✅ Safety Validation: Comprehensive pre-deployment testing and architectural analysis
✅ Dynamic Permissions: Real-time permission escalation with risk assessment
✅ Session Optimization: Intelligent context management and token efficiency
✅ Choreography: Auto-detection, coordination, progress tracking
✅ Personalities: Adaptive responses based on success patterns
✅ Learning: Pattern recognition, organizational knowledge building
✅ MCP Integration: GitHub, Task Master, Context7, Basic Memory, Sequential Thinking, Zen
88 agents | 18 categories | Vibe coding + parallel execution + sequential reasoning enabled
@vibe-coding-coordinator- Autonomous development preparation phases@exponential-planner- AI capability-aware long-term planning@session-manager- State preservation and resumable workflows
@leaf-node-detector- Architectural safety analysis for autonomous development@permission-escalator- Dynamic permission management with risk assessment@verification-specialist- Human-readable testing and verification strategies@agent-environment-simulator- Pre-deployment testing and validation
@parallel-coordinator- Multi-agent parallel execution orchestration@tool-batch-optimizer- Efficient tool batching and resource optimization@session-optimizer- Context management and token efficiency optimization
- Vibe Coding: "Forget the code exists, not the product" - autonomous development with safety
- Exponential Awareness: Planning with 7-month AI capability doubling cycles
- Parallel Processing: Claude 4's parallel tool calling for maximum efficiency
- Safety First: Leaf node detection and architectural protection
- Context Optimization: 60-80% token reduction while maintaining quality
- Basic Memory MCP: Persistent session state and organizational learning
- Task Master MCP: Complex project coordination and exponential planning
- GitHub MCP: Enhanced session management and parallel development
- Context7 MCP: Live documentation for verification and testing
- Sequential Thinking MCP: Multi-step reasoning with adaptive planning and course correction
- Zen MCP Server: Multi-AI model orchestration and collaborative intelligence
System Evolution: From 77 → 88 agents | 15 → 18 categories | Added autonomous development capabilities
Import Task Master's development workflow commands and guidelines, treat as if import is in the main CLAUDE.md file. @./.taskmaster/CLAUDE.md
type(scope): description - @agent1 @agent2
- ✅ Identify contributing agents
- ✅ Format:
type(scope): description - @agent1 @agent2 - ✅ Include standard attribution footer
- ✅ Verify agent attribution requirements
For configuration: Include @team-configurator + technical expert
For API: Include @api-architect + security expert
For database: Include @database-admin + performance expert
Auto-generated by Bootstrap Orchestrator - 2025-08-12T16:46:17.512Z
- Tech Stack: unknown
- Architecture: microservices
- Complexity: medium/10
- Scenario: existing-with-claude
- Setup Type: upgrade-enhancement
@software-engineering-expert- Code quality and architecture guidance@code-reviewer- Quality assurance and code review@orchestrator- Multi-dimensional analysis and coordination@vibe-coding-coordinator- Autonomous development preparation@security-specialist- Security analysis and best practices@documentation-specialist- Technical documentation and guides@git-expert- Version control and collaboration
Level: FOUNDATION
# Initialize Task Master (if not already done)
task-master init
# Analyze project complexity
task-master analyze-complexity --research
# Parse PRD (when available)
task-master parse-prd .taskmaster/docs/prd.txt# Start development session
claude
# Bootstrap system initialization
"Use @bootstrap-orchestrator to analyze and setup this project"
# Begin development with agents
"Use @software-engineering-expert to review architecture"
"Use @code-reviewer to implement features"
This project is configured with:
- task-master: Project management and intelligent task coordination
- basic-memory: Persistent knowledge and organizational learning
- zen: Multi-AI model collaboration and enhanced intelligence
MANDATORY: type(scope): description - @agent1 @agent2
feat(auth): implement authentication - @software-engineering-expert @security-specialistfix(api): resolve validation error - @code-reviewer @undefineddocs(readme): update setup guide - @documentation-specialist @bootstrap-orchestratorrefactor(core): optimize performance - @performance-optimizer @system-architect
All commits should include:
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
🚀 System Status: ✅ READY FOR DEVELOPMENT
🎯 Next Steps: Use @bootstrap-orchestrator for guidance and system management
📊 Task Master: foundation level integration active
🤖 Agent Count: 7 agents configured
Generated by Claude 007 Bootstrap Orchestrator - Ready for immediate development!
type(scope): description - @agent1 @agent2
- ✅ Identify contributing agents
- ✅ Format:
type(scope): description - @agent1 @agent2 - ✅ Include standard attribution footer
- ✅ Verify agent attribution requirements
For configuration: Include @team-configurator + technical expert
For API: Include @api-architect + security expert
For database: Include @database-admin + performance expert
Auto-generated by Bootstrap Orchestrator - 2025-08-12T17:05:42.542Z
- Tech Stack: unknown
- Architecture: clean
- Complexity: medium/10
- Scenario: existing-with-claude
- Setup Type: upgrade-enhancement
@software-engineering-expert- Code quality and architecture guidance@code-reviewer- Quality assurance and code review@orchestrator- Multi-dimensional analysis and coordination@vibe-coding-coordinator- Autonomous development preparation@security-specialist- Security analysis and best practices@documentation-specialist- Technical documentation and guides@git-expert- Version control and collaboration
Level: FOUNDATION
# Initialize Task Master (if not already done)
task-master init
# Analyze project complexity
task-master analyze-complexity --research
# Parse PRD (when available)
task-master parse-prd .taskmaster/docs/prd.txt# Start development session
claude
# Bootstrap system initialization
"Use @bootstrap-orchestrator to analyze and setup this project"
# Begin development with agents
"Use @software-engineering-expert to review architecture"
"Use @code-reviewer to implement features"
This project is configured with:
- task-master: Project management and intelligent task coordination
- basic-memory: Persistent knowledge and organizational learning
- zen: Multi-AI model collaboration and enhanced intelligence
MANDATORY: type(scope): description - @agent1 @agent2
feat(auth): implement authentication - @software-engineering-expert @security-specialistfix(api): resolve validation error - @code-reviewer @undefineddocs(readme): update setup guide - @documentation-specialist @bootstrap-orchestratorrefactor(core): optimize performance - @performance-optimizer @system-architect
All commits should include:
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
🚀 System Status: ✅ READY FOR DEVELOPMENT
🎯 Next Steps: Use @bootstrap-orchestrator for guidance and system management
📊 Task Master: foundation level integration active
🤖 Agent Count: 7 agents configured
Generated by Claude 007 Bootstrap Orchestrator - Ready for immediate development!