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CLAUDE-SUBAGENTS-analysis.md

🎯 Claude Sub-Agents Collection Analysis​

This document provides a comprehensive analysis of the 83 specialized Claude sub-agents available for CODITECT v4 development.

📊 Collection Overview​

The Claude sub-agents repository contains 83 specialized AI agents organized into 7 major categories, each optimized for specific tasks and assigned to appropriate Claude models based on complexity.

Model Distribution​

  • Haiku (11 agents): Quick, focused tasks with minimal overhead
  • Sonnet (46 agents): Standard development and specialized engineering
  • Opus (22 agents): Complex reasoning, architecture, and critical analysis

🏗️ Agent Categories & Key Players​

1. Architecture & System Design (12 agents)​

Core Architecture Agents:

  • backend-architect (opus) - RESTful API design, microservice boundaries
  • cloud-architect (opus) - AWS/Azure/GCP infrastructure design
  • kubernetes-architect (opus) - Cloud-native infrastructure with K8s
  • graphql-architect (opus) - GraphQL schemas and federation
  • architect-reviewer (opus) - Architecture validation and patterns

UI/UX & Mobile:

  • ui-ux-designer (sonnet) - Interface design and wireframes
  • ui-visual-validator (sonnet) - Visual regression testing
  • mobile-developer (sonnet) - React Native/Flutter apps
  • ios-developer (sonnet) - Native iOS with Swift/SwiftUI

2. Programming Languages (18 agents)​

Systems & Low-Level:

  • rust-pro, c-pro, cpp-pro, golang-pro (all sonnet)

Web & Application:

  • javascript-pro, typescript-pro, python-pro, ruby-pro, php-pro (all sonnet)

Enterprise & JVM:

  • java-pro, scala-pro, csharp-pro (all sonnet)

Specialized:

  • elixir-pro, unity-developer, sql-pro (all sonnet)

3. Infrastructure & Operations (9 agents)​

DevOps & Deployment:

  • devops-troubleshooter (sonnet) - Production debugging
  • deployment-engineer (sonnet) - CI/CD pipelines
  • terraform-specialist (opus) - Infrastructure as Code
  • dx-optimizer (sonnet) - Developer experience

Database & Network:

  • database-optimizer (opus) - Query optimization
  • database-admin (sonnet) - Operations and backup
  • network-engineer (sonnet) - Network debugging

4. Quality Assurance & Security (12 agents)​

Security Specialists:

  • security-auditor (opus) - Vulnerability assessment
  • backend-security-coder (opus) - API security
  • frontend-security-coder (opus) - XSS prevention
  • mobile-security-coder (opus) - Mobile security patterns

Testing & Debugging:

  • test-automator (sonnet) - Test suite creation
  • tdd-orchestrator (sonnet) - TDD methodology
  • debugger (sonnet) - Error resolution
  • error-detective (sonnet) - Log analysis

Performance:

  • performance-engineer (opus) - Application profiling
  • observability-engineer (opus) - Monitoring & tracing

5. Data & AI (6 agents)​

Data Engineering:

  • data-scientist (opus) - SQL and BigQuery
  • data-engineer (sonnet) - ETL pipelines

Machine Learning:

  • ai-engineer (opus) - llm applications, RAG
  • ml-engineer (opus) - ML pipelines
  • mlops-engineer (opus) - ML infrastructure
  • prompt-engineer (opus) - llm optimization

6. Documentation & Writing (5 agents)​

  • docs-architect (opus) - Technical documentation
  • api-documenter (sonnet) - OpenAPI/Swagger
  • reference-builder (haiku) - API references
  • tutorial-engineer (sonnet) - Educational content
  • mermaid-expert (sonnet) - Diagram creation

7. Business & Operations (9 agents)​

Business Analysis:

  • business-analyst (sonnet) - KPI tracking
  • quant-analyst (opus) - Financial modeling
  • risk-manager (sonnet) - Portfolio risk

Marketing & Support:

  • content-marketer (sonnet) - Content creation
  • sales-automator (haiku) - Cold emails
  • customer-support (sonnet) - Support tickets
  • hr-pro (opus) - HR operations
  • legal-advisor (opus) - Legal documentation

8. SEO Specialists (10 agents)​

Comprehensive SEO toolkit (mostly haiku for efficiency):

  • seo-content-auditor (sonnet) - E-E-A-T analysis
  • seo-meta-optimizer (haiku) - Meta optimization
  • seo-keyword-strategist (haiku) - Keyword analysis
  • Plus 7 more specialized SEO agents

9. Specialized Domains (5 agents)​

  • blockchain-developer (sonnet) - Web3 and smart contracts
  • payment-integration (sonnet) - Stripe/PayPal
  • legacy-modernizer (sonnet) - Code refactoring
  • context-manager (haiku) - Multi-agent coordination
  • minecraft-bukkit-pro (sonnet) - Minecraft plugins

🔄 Multi-Agent Workflow Patterns​

Common Orchestration Patterns​

  1. Feature Development Flow

    backend-architect → frontend-developer → test-automator → security-auditor

  2. Performance Optimization

    performance-engineer → database-optimizer → frontend-developer

  3. Production Incidents

    incident-responder → devops-troubleshooter → error-detective → performance-engineer

  4. Security Hardening

    security-auditor → backend-security-coder → frontend-security-coder → test-automator

  5. ML Pipeline Development

    mlops-engineer → ml-engineer → data-engineer → performance-engineer

🎨 Integration with CODITECT​

How Sub-Agents Complement CODITECT Agents​

CODITECT Agents (Strategic Level):

  • Make high-level architectural decisions
  • Coordinate multiple implementation tasks
  • Enforce CODITECT standards and ADRs
  • Handle multi-tenant considerations

Claude Sub-Agents (Tactical Level):

  • Provide deep technical expertise
  • Handle specific implementation details
  • Offer language/framework specialization
  • Execute focused technical tasks

Delegation Pattern Example​

User: "Implement OAuth2 authentication"
↓
CODITECT Orchestrator: Analyzes requirements, checks ADRs
↓
Delegates to: backend-architect (design API)
↓
Delegates to: rust-pro (implement in Rust)
↓
Delegates to: security-auditor (validate implementation)
↓
CODITECT Orchestrator: Integrates results, ensures compliance

📈 Key Insights​

1. Comprehensive Coverage​

  • Every major programming language covered
  • Full-stack development capabilities
  • Complete DevOps and infrastructure support
  • Specialized business and SEO functions

2. Smart Model Assignment​

  • Haiku: Quick utilities and SEO tasks
  • Sonnet: Most development work
  • Opus: Critical thinking and architecture

3. Workflow Optimization​

  • Agents designed to work in sequences
  • Clear handoff patterns between specialists
  • Built-in validation through reviewer agents

4. CODITECT Integration Benefits​

  • Sub-agents provide depth, CODITECT provides breadth
  • Automatic delegation reduces cognitive load
  • Quality gates through specialized reviewers
  • Consistent with CODITECT architecture patterns

🚀 Usage Recommendations​

For CODITECT Development​

  1. Let CODITECT agents orchestrate - They understand the broader context
  2. Use sub-agents for deep dives - When you need specific expertise
  3. Leverage workflow commands - For common multi-agent patterns
  4. Trust the model selection - Agents are optimized for their assigned models

Best Practices​

  1. Start high-level - Let orchestration handle complexity
  2. Be specific when needed - Direct agent invocation for precise control
  3. Use validation chains - security-auditor after implementation
  4. Maintain context - Ensure agents have necessary background

📝 Quick Reference​

Most Used for CODITECT v4​

Architecture & Design:

  • backend-architect, cloud-architect, architect-reviewer

Rust Development:

  • rust-pro, test-automator, tdd-orchestrator

Security & Quality:

  • security-auditor, code-reviewer, performance-engineer

Infrastructure:

  • terraform-specialist, kubernetes-architect, deployment-engineer

Database:

  • database-optimizer, sql-pro

Documentation:

  • docs-architect, api-documenter

Summary: The Claude sub-agents collection provides comprehensive tactical expertise that perfectly complements CODITECT's strategic agents, enabling sophisticated multi-agent development workflows for the v4 platform.