- Added observability-engineer to Performance & Observability section - Updated total agent count from 82 to 83 - Renamed "Performance & Research" to "Performance & Observability" - Updated Opus model count from 21 to 22 agents - Added observability-engineer to Critical Analysis category in Opus section
Claude Code Subagents Collection
A comprehensive collection of 83 specialized AI subagents for Claude Code, providing domain-specific expertise across software development, infrastructure, and business operations.
Overview
This repository provides production-ready subagents that extend Claude Code's capabilities with specialized knowledge. Each subagent incorporates:
- Current industry best practices and standards (2024/2025)
- Production-ready patterns and enterprise architectures
- Deep domain expertise with 8-12 capability areas per agent
- Modern technology stacks and frameworks
- Optimized model selection based on task complexity
Agent Categories
Architecture & System Design
Core Architecture
| Agent | Model | Description |
|---|---|---|
| backend-architect | opus | RESTful API design, microservice boundaries, database schemas |
| frontend-developer | sonnet | React components, responsive layouts, client-side state management |
| graphql-architect | opus | GraphQL schemas, resolvers, federation architecture |
| architect-reviewer | opus | Architectural consistency analysis and pattern validation |
| cloud-architect | opus | AWS/Azure/GCP infrastructure design and cost optimization |
| hybrid-cloud-architect | opus | Multi-cloud strategies across cloud and on-premises environments |
| kubernetes-architect | opus | Cloud-native infrastructure with Kubernetes and GitOps |
UI/UX & Mobile
| Agent | Model | Description |
|---|---|---|
| ui-ux-designer | sonnet | Interface design, wireframes, design systems |
| ui-visual-validator | sonnet | Visual regression testing and UI verification |
| mobile-developer | sonnet | React Native and Flutter application development |
| ios-developer | sonnet | Native iOS development with Swift/SwiftUI |
| flutter-expert | sonnet | Advanced Flutter development with state management |
Programming Languages
Systems & Low-Level
| Agent | Model | Description |
|---|---|---|
| c-pro | sonnet | System programming with memory management and OS interfaces |
| cpp-pro | sonnet | Modern C++ with RAII, smart pointers, STL algorithms |
| rust-pro | sonnet | Memory-safe systems programming with ownership patterns |
| golang-pro | sonnet | Concurrent programming with goroutines and channels |
Web & Application
| Agent | Model | Description |
|---|---|---|
| javascript-pro | sonnet | Modern JavaScript with ES6+, async patterns, Node.js |
| typescript-pro | sonnet | Advanced TypeScript with type systems and generics |
| python-pro | sonnet | Python development with advanced features and optimization |
| ruby-pro | sonnet | Ruby with metaprogramming, Rails patterns, gem development |
| php-pro | sonnet | Modern PHP with frameworks and performance optimization |
Enterprise & JVM
| Agent | Model | Description |
|---|---|---|
| java-pro | sonnet | Modern Java with streams, concurrency, JVM optimization |
| scala-pro | sonnet | Enterprise Scala with functional programming and distributed systems |
| csharp-pro | sonnet | C# development with .NET frameworks and patterns |
Specialized Platforms
| Agent | Model | Description |
|---|---|---|
| elixir-pro | sonnet | Elixir with OTP patterns and Phoenix frameworks |
| unity-developer | sonnet | Unity game development and optimization |
| minecraft-bukkit-pro | sonnet | Minecraft server plugin development |
| sql-pro | sonnet | Complex SQL queries and database optimization |
Infrastructure & Operations
DevOps & Deployment
| Agent | Model | Description |
|---|---|---|
| devops-troubleshooter | sonnet | Production debugging, log analysis, deployment troubleshooting |
| deployment-engineer | sonnet | CI/CD pipelines, containerization, cloud deployments |
| terraform-specialist | opus | Infrastructure as Code with Terraform modules and state management |
| dx-optimizer | sonnet | Developer experience optimization and tooling improvements |
Database Management
| Agent | Model | Description |
|---|---|---|
| database-optimizer | opus | Query optimization, index design, migration strategies |
| database-admin | sonnet | Database operations, backup, replication, monitoring |
Incident Response & Network
| Agent | Model | Description |
|---|---|---|
| incident-responder | opus | Production incident management and resolution |
| network-engineer | sonnet | Network debugging, load balancing, traffic analysis |
Quality Assurance & Security
Code Quality & Review
| Agent | Model | Description |
|---|---|---|
| code-reviewer | opus | Code review with security focus and production reliability |
| security-auditor | opus | Vulnerability assessment and OWASP compliance |
| backend-security-coder | opus | Secure backend coding practices, API security implementation |
| frontend-security-coder | opus | XSS prevention, CSP implementation, client-side security |
| mobile-security-coder | opus | Mobile security patterns, WebView security, biometric auth |
| architect-reviewer | opus | Architectural consistency and pattern validation |
Testing & Debugging
| Agent | Model | Description |
|---|---|---|
| test-automator | sonnet | Comprehensive test suite creation (unit, integration, e2e) |
| tdd-orchestrator | sonnet | Test-Driven Development methodology guidance |
| debugger | sonnet | Error resolution and test failure analysis |
| error-detective | sonnet | Log analysis and error pattern recognition |
Performance & Observability
| Agent | Model | Description |
|---|---|---|
| performance-engineer | opus | Application profiling and optimization |
| observability-engineer | opus | Production monitoring, distributed tracing, SLI/SLO management |
| search-specialist | haiku | Advanced web research and information synthesis |
Data & AI
Data Engineering & Analytics
| Agent | Model | Description |
|---|---|---|
| data-scientist | opus | Data analysis, SQL queries, BigQuery operations |
| data-engineer | sonnet | ETL pipelines, data warehouses, streaming architectures |
Machine Learning & AI
| Agent | Model | Description |
|---|---|---|
| ai-engineer | opus | LLM applications, RAG systems, prompt pipelines |
| ml-engineer | opus | ML pipelines, model serving, feature engineering |
| mlops-engineer | opus | ML infrastructure, experiment tracking, model registries |
| prompt-engineer | opus | LLM prompt optimization and engineering |
Documentation & Technical Writing
| Agent | Model | Description |
|---|---|---|
| docs-architect | opus | Comprehensive technical documentation generation |
| api-documenter | sonnet | OpenAPI/Swagger specifications and developer docs |
| reference-builder | haiku | Technical references and API documentation |
| tutorial-engineer | sonnet | Step-by-step tutorials and educational content |
| mermaid-expert | sonnet | Diagram creation (flowcharts, sequences, ERDs) |
Business & Operations
Business Analysis & Finance
| Agent | Model | Description |
|---|---|---|
| business-analyst | sonnet | Metrics analysis, reporting, KPI tracking |
| quant-analyst | opus | Financial modeling, trading strategies, market analysis |
| risk-manager | sonnet | Portfolio risk monitoring and management |
Marketing & Sales
| Agent | Model | Description |
|---|---|---|
| content-marketer | sonnet | Blog posts, social media, email campaigns |
| sales-automator | haiku | Cold emails, follow-ups, proposal generation |
Support & Legal
| Agent | Model | Description |
|---|---|---|
| customer-support | sonnet | Support tickets, FAQ responses, customer communication |
| hr-pro | opus | HR operations, policies, employee relations |
| legal-advisor | opus | Privacy policies, terms of service, legal documentation |
Specialized Domains
| Agent | Model | Description |
|---|---|---|
| blockchain-developer | sonnet | Web3 apps, smart contracts, DeFi protocols |
| payment-integration | sonnet | Payment processor integration (Stripe, PayPal) |
| legacy-modernizer | sonnet | Legacy code refactoring and modernization |
| context-manager | haiku | Multi-agent context management |
SEO & Content Optimization
| Agent | Model | Description |
|---|---|---|
| seo-content-auditor | sonnet | Content quality analysis, E-E-A-T signals assessment |
| seo-meta-optimizer | haiku | Meta title and description optimization |
| seo-keyword-strategist | haiku | Keyword analysis and semantic variations |
| seo-structure-architect | haiku | Content structure and schema markup |
| seo-snippet-hunter | haiku | Featured snippet formatting |
| seo-content-refresher | haiku | Content freshness analysis |
| seo-cannibalization-detector | haiku | Keyword overlap detection |
| seo-authority-builder | sonnet | E-E-A-T signal analysis |
| seo-content-writer | sonnet | SEO-optimized content creation |
| seo-content-planner | haiku | Content planning and topic clusters |
Model Configuration
Agents are assigned to specific Claude models based on task complexity and computational requirements. The system uses three model tiers:
Model Distribution Summary
| Model | Agent Count | Use Case |
|---|---|---|
| Haiku | 11 | Quick, focused tasks with minimal computational overhead |
| Sonnet | 46 | Standard development and specialized engineering tasks |
| Opus | 22 | Complex reasoning, architecture, and critical analysis |
Haiku Model Agents
| Category | Agents |
|---|---|
| Context & Reference | context-manager, reference-builder, sales-automator, search-specialist |
| SEO Optimization | seo-meta-optimizer, seo-keyword-strategist, seo-structure-architect, seo-snippet-hunter, seo-content-refresher, seo-cannibalization-detector, seo-content-planner |
Sonnet Model Agents
| Category | Count | Agents |
|---|---|---|
| Programming Languages | 18 | All language-specific agents (JavaScript, Python, Java, C++, etc.) |
| Frontend & UI | 5 | frontend-developer, ui-ux-designer, ui-visual-validator, mobile-developer, ios-developer |
| Infrastructure | 8 | devops-troubleshooter, deployment-engineer, dx-optimizer, database-admin, network-engineer, flutter-expert, api-documenter, tutorial-engineer |
| Quality & Testing | 4 | test-automator, tdd-orchestrator, debugger, error-detective |
| Business & Support | 6 | business-analyst, risk-manager, content-marketer, customer-support, mermaid-expert, legacy-modernizer |
| Data & Content | 5 | data-engineer, payment-integration, seo-content-auditor, seo-authority-builder, seo-content-writer |
Opus Model Agents
| Category | Count | Agents |
|---|---|---|
| Architecture & Design | 7 | architect-reviewer, backend-architect, cloud-architect, hybrid-cloud-architect, kubernetes-architect, graphql-architect, terraform-specialist |
| Critical Analysis | 6 | code-reviewer, security-auditor, performance-engineer, observability-engineer, incident-responder, database-optimizer |
| AI/ML Complex | 5 | ai-engineer, ml-engineer, mlops-engineer, data-scientist, prompt-engineer |
| Business Critical | 4 | docs-architect, hr-pro, legal-advisor, quant-analyst |
Installation
Clone the repository to the Claude agents directory:
cd ~/.claude
git clone https://github.com/wshobson/agents.git
The subagents will be automatically available to Claude Code once placed in the ~/.claude/agents/ directory.
Usage
Automatic Delegation
Claude Code automatically selects the appropriate subagent based on task context and requirements. The system analyzes your request and delegates to the most suitable specialist.
Explicit Invocation
Specify a subagent by name to use a particular specialist:
"Use code-reviewer to analyze the recent changes"
"Have security-auditor scan for vulnerabilities"
"Get performance-engineer to optimize this bottleneck"
Usage Examples
Code Quality & Security
code-reviewer: Analyze component for best practices
security-auditor: Check for OWASP compliance
tdd-orchestrator: Implement feature with test-first approach
performance-engineer: Profile and optimize bottlenecks
Development & Architecture
backend-architect: Design authentication API
frontend-developer: Create responsive dashboard
graphql-architect: Design federated GraphQL schema
mobile-developer: Build cross-platform mobile app
Infrastructure & Operations
devops-troubleshooter: Analyze production logs
cloud-architect: Design scalable AWS architecture
network-engineer: Debug SSL certificate issues
database-admin: Configure backup and replication
terraform-specialist: Write infrastructure modules
Data & Machine Learning
data-scientist: Analyze customer behavior dataset
ai-engineer: Build RAG system for document search
mlops-engineer: Set up experiment tracking
ml-engineer: Deploy model to production
Business & Documentation
business-analyst: Create metrics dashboard
docs-architect: Generate technical documentation
api-documenter: Write OpenAPI specifications
content-marketer: Create SEO-optimized content
Multi-Agent Workflows
Subagents coordinate automatically for complex tasks. The system intelligently sequences multiple specialists based on task requirements.
Common Workflow Patterns
Feature Development
"Implement user authentication"
→ backend-architect → frontend-developer → test-automator → security-auditor
Performance Optimization
"Optimize checkout process"
→ performance-engineer → database-optimizer → frontend-developer
Production Incidents
"Debug high memory usage"
→ incident-responder → devops-troubleshooter → error-detective → performance-engineer
Infrastructure Setup
"Set up disaster recovery"
→ database-admin → database-optimizer → terraform-specialist
ML Pipeline Development
"Build ML pipeline with monitoring"
→ mlops-engineer → ml-engineer → data-engineer → performance-engineer
Integration with Claude Code Commands
For sophisticated multi-agent orchestration, use the Claude Code Commands collection which provides 52 pre-built slash commands:
/full-stack-feature # Coordinates 8+ agents for complete feature development
/incident-response # Activates incident management workflow
/ml-pipeline # Sets up end-to-end ML infrastructure
/security-hardening # Implements security best practices across stack
Subagent Format
Each subagent is defined as a Markdown file with frontmatter:
---
name: subagent-name
description: Activation criteria for this subagent
model: haiku|sonnet|opus # Optional: Model selection
tools: tool1, tool2 # Optional: Tool restrictions
---
System prompt defining the subagent's expertise and behavior
Model Selection Criteria
- haiku: Simple, deterministic tasks with minimal reasoning
- sonnet: Standard development and engineering tasks
- opus: Complex analysis, architecture, and critical operations
Agent Orchestration Patterns
Sequential Processing
Agents execute in sequence, passing context forward:
backend-architect → frontend-developer → test-automator → security-auditor
Parallel Execution
Multiple agents work simultaneously on different aspects:
performance-engineer + database-optimizer → Merged analysis
Conditional Routing
Dynamic agent selection based on analysis:
debugger → [backend-architect | frontend-developer | devops-troubleshooter]
Validation Pipeline
Primary work followed by specialized review:
payment-integration → security-auditor → Validated implementation
Agent Selection Guide
Architecture & Planning
| Task | Recommended Agent | Key Capabilities |
|---|---|---|
| API Design | backend-architect |
RESTful APIs, microservices, database schemas |
| Cloud Infrastructure | cloud-architect |
AWS/Azure/GCP design, scalability planning |
| UI/UX Design | ui-ux-designer |
Interface design, wireframes, design systems |
| System Architecture | architect-reviewer |
Pattern validation, consistency analysis |
Development by Language
| Language Category | Agents | Primary Use Cases |
|---|---|---|
| Systems Programming | c-pro, cpp-pro, rust-pro, golang-pro |
OS interfaces, embedded systems, high performance |
| Web Development | javascript-pro, typescript-pro, python-pro, ruby-pro, php-pro |
Full-stack web applications, APIs, scripting |
| Enterprise | java-pro, csharp-pro, scala-pro |
Large-scale applications, enterprise systems |
| Mobile | ios-developer, flutter-expert, mobile-developer |
Native and cross-platform mobile apps |
| Specialized | elixir-pro, unity-developer, minecraft-bukkit-pro |
Domain-specific development |
Operations & Infrastructure
| Task | Recommended Agent | Key Capabilities |
|---|---|---|
| Production Issues | devops-troubleshooter |
Log analysis, deployment debugging |
| Critical Incidents | incident-responder |
Outage response, immediate mitigation |
| Database Performance | database-optimizer |
Query optimization, indexing strategies |
| Database Operations | database-admin |
Backup, replication, disaster recovery |
| Infrastructure as Code | terraform-specialist |
Terraform modules, state management |
| Network Issues | network-engineer |
Network debugging, load balancing |
Quality & Security
| Task | Recommended Agent | Key Capabilities |
|---|---|---|
| Code Review | code-reviewer |
Security focus, best practices |
| Security Audit | security-auditor |
Vulnerability scanning, OWASP compliance |
| Test Creation | test-automator |
Unit, integration, E2E test suites |
| Performance Issues | performance-engineer |
Profiling, optimization |
| Bug Investigation | debugger |
Error resolution, root cause analysis |
Data & Machine Learning
| Task | Recommended Agent | Key Capabilities |
|---|---|---|
| Data Analysis | data-scientist |
SQL queries, statistical analysis |
| LLM Applications | ai-engineer |
RAG systems, prompt pipelines |
| ML Development | ml-engineer |
Model training, feature engineering |
| ML Operations | mlops-engineer |
ML infrastructure, experiment tracking |
Documentation & Business
| Task | Recommended Agent | Key Capabilities |
|---|---|---|
| Technical Docs | docs-architect |
Comprehensive documentation generation |
| API Documentation | api-documenter |
OpenAPI/Swagger specifications |
| Business Metrics | business-analyst |
KPI tracking, reporting |
| Legal Compliance | legal-advisor |
Privacy policies, terms of service |
Best Practices
Task Delegation
- Automatic selection - Let Claude Code analyze context and select optimal agents
- Clear requirements - Specify constraints, tech stack, and quality standards
- Trust specialization - Each agent is optimized for their specific domain
Multi-Agent Workflows
- High-level requests - Allow agents to coordinate complex multi-step tasks
- Context preservation - Ensure agents have necessary background information
- Integration review - Verify how different agents' outputs work together
Explicit Control
- Direct invocation - Specify agents when you need particular expertise
- Strategic combination - Use multiple specialists for validation
- Review patterns - Request specific review workflows (e.g., "security-auditor reviews API design")
Performance Optimization
- Monitor effectiveness - Track which agents work best for your use cases
- Iterative refinement - Use agent feedback to improve requirements
- Complexity matching - Align task complexity with agent capabilities
Contributing
To add a new subagent:
- Create a new
.mdfile with appropriate frontmatter - Use lowercase, hyphen-separated naming convention
- Write clear activation criteria in the description
- Define comprehensive system prompt with expertise areas
Troubleshooting
Agent Not Activating
- Ensure request clearly indicates the domain
- Be specific about task type and requirements
- Use explicit invocation if automatic selection fails
Unexpected Agent Selection
- Provide more context about tech stack
- Include specific requirements in request
- Use direct agent naming for precise control
Conflicting Recommendations
- Normal behavior - specialists have different priorities
- Request reconciliation between specific agents
- Consider trade-offs based on project requirements
Missing Context
- Include background information in requests
- Reference previous work or patterns
- Provide project-specific constraints
License
MIT License - see LICENSE file for details.