A comprehensive production-ready system combining 83 specialized AI agents, 15 multi-agent workflow orchestrators, and 42 development tools for Claude Code.

Overview

This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:

83 Specialized Agents - Domain experts with deep knowledge (architecture, languages, infrastructure, quality, data/AI, business)
15 Workflow Orchestrators - Multi-agent coordination systems for complex operations
42 Development Tools - Focused utilities for specific tasks

System Requirements

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
django-pro	sonnet	Django development with ORM and async views
fastapi-pro	sonnet	FastAPI with async patterns and Pydantic
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
database-architect	opus	Database design from scratch, technology selection, schema modeling

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

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	50	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

Plugin Marketplace (Recommended - Available October 9, 2025)

Install workflow-based plugin collections directly from the Claude Code plugin marketplace:

# Add the marketplace
/plugin marketplace add wshobson/agents

# Browse available plugins
/plugin list

# Install workflow-based plugins
/plugin install full-stack-development
/plugin install security-hardening
/plugin install data-ml-pipeline
/plugin install incident-response

# Install infrastructure/specialist plugins
/plugin install cloud-infrastructure
/plugin install language-specialists
/plugin install seo-content-suite

Manual Installation

cd ~/.claude
git clone https://github.com/wshobson/agents.git

All agents, workflows, and tools will be automatically available to Claude Code.

Repository Structure

agents/
├── agents/                        # 83 specialized AI agents
│   ├── backend-architect.md
│   ├── frontend-developer.md
│   └── ... (all agent definitions)
├── workflows/                     # 15 multi-agent orchestrators
│   ├── feature-development.md
│   ├── full-stack-feature.md
│   ├── security-hardening.md
│   └── ... (workflow commands)
├── tools/                         # 42 development utilities
│   ├── api-scaffold.md
│   ├── security-scan.md
│   └── ... (tool commands)
└── README.md

Workflow Commands

Multi-agent orchestration systems that coordinate complex, cross-domain tasks:

Core Development Workflows

Command	Purpose	Agent Coordination
`feature-development`	End-to-end feature implementation	Backend, frontend, testing, deployment
`full-stack-feature`	Complete multi-tier implementation	Backend API, frontend UI, mobile, database
`full-review`	Multi-perspective code analysis	Architecture, security, performance, quality
`smart-fix`	Intelligent problem resolution	Dynamic agent selection based on issue type
`tdd-cycle`	Test-driven development orchestration	Test writer, implementer, refactoring specialist

Process Automation Workflows

Command	Purpose	Scope
`git-workflow`	Version control process automation	Branching strategies, commit standards, PR templates
`improve-agent`	Agent optimization	Prompt engineering, performance tuning
`legacy-modernize`	Codebase modernization	Architecture migration, dependency updates
`multi-platform`	Cross-platform development	Web, mobile, desktop coordination
`workflow-automate`	CI/CD pipeline automation	Build, test, deploy, monitor

Advanced Orchestration Workflows

Command	Primary Focus	Specialized Agents
`security-hardening`	Security-first development	Threat modeling, vulnerability assessment
`data-driven-feature`	ML-powered functionality	Data science, feature engineering, model deployment
`ml-pipeline`	End-to-end ML infrastructure	MLOps, data engineering, model serving
`performance-optimization`	System-wide optimization	Profiling, caching, query optimization
`incident-response`	Production issue resolution	Diagnostics, root cause analysis, hotfix deployment

Development Tools

Focused, single-purpose utilities for specific development operations:

AI and Machine Learning

langchain-agent - LangChain agent development
ai-assistant - AI-powered development assistance
ai-review - AI-based code review

API Development

api-scaffold - API endpoint scaffolding
api-mock - API mocking and testing

Testing & Quality

tdd-red - Red phase (failing tests)
tdd-green - Green phase (passing implementation)
tdd-refactor - Refactor phase
test-harness - Test infrastructure setup

Security & Compliance

security-scan - Vulnerability scanning
compliance-check - Compliance validation

Infrastructure & Operations

k8s-manifest - Kubernetes manifest generation
docker-optimize - Docker optimization
monitor-setup - Monitoring infrastructure
deploy-checklist - Deployment validation

Code Quality

code-explain - Code explanation
code-migrate - Code migration
refactor-clean - Code refactoring
pr-enhance - Pull request enhancement

And 20+ more tools for debugging, documentation, data validation, cost optimization, and developer workflows

Usage

Workflow Invocation

# Full-stack feature development
/workflows:feature-development implement OAuth2 authentication

# Security hardening
/workflows:security-hardening perform security audit and remediation

# ML pipeline
/workflows:ml-pipeline build recommendation system with monitoring

# Incident response
/workflows:incident-response debug production memory leak

Tool Invocation

# API scaffolding
/tools:api-scaffold create user management endpoints

# Security scanning
/tools:security-scan perform vulnerability assessment

# Documentation generation
/tools:doc-generate create API documentation

Direct Agent Access

Agents are automatically available and can be explicitly invoked:

"Use backend-architect to design the authentication API"
"Have security-auditor scan for OWASP vulnerabilities"
"Get performance-engineer to optimize this bottleneck"

Agent Categories

Architecture & System Design (7 agents)

backend-architect, cloud-architect, kubernetes-architect, hybrid-cloud-architect, graphql-architect, terraform-specialist, architect-review

Programming Languages (15 agents)

javascript-pro, typescript-pro, python-pro, golang-pro, rust-pro, java-pro, csharp-pro, c-pro, cpp-pro, ruby-pro, php-pro, scala-pro, elixir-pro, django-pro, fastapi-pro

Infrastructure & Operations (9 agents)

devops-troubleshooter, deployment-engineer, database-admin, database-optimizer, database-architect, network-engineer, incident-responder, performance-engineer, observability-engineer

Security & Quality (9 agents)

code-reviewer, security-auditor, backend-security-coder, frontend-security-coder, mobile-security-coder, test-automator, tdd-orchestrator, debugger, error-detective

Frontend & Mobile (7 agents)

frontend-developer, ui-ux-designer, ui-visual-validator, mobile-developer, ios-developer, flutter-expert, unity-developer

Data & AI (6 agents)

data-scientist, data-engineer, ml-engineer, mlops-engineer, ai-engineer, prompt-engineer

Documentation (5 agents)

docs-architect, api-documenter, reference-builder, tutorial-engineer, mermaid-expert

Business & Operations (6 agents)

business-analyst, hr-pro, legal-advisor, customer-support, sales-automator, content-marketer

SEO & Content (10 agents)

seo-content-writer, seo-content-auditor, seo-keyword-strategist, seo-meta-optimizer, seo-structure-architect, seo-snippet-hunter, seo-content-refresher, seo-cannibalization-detector, seo-authority-builder, seo-content-planner

Specialized Domains (7 agents)

blockchain-developer, quant-analyst, risk-manager, payment-integration, minecraft-bukkit-pro, legacy-modernizer, context-manager

Utilities (3 agents)

search-specialist, dx-optimizer, sql-pro

Multi-Agent Orchestration Examples

Full-Stack Development

/workflows:full-stack-feature implement user dashboard with analytics

Orchestrates: backend-architect → graphql-architect → frontend-developer → mobile-developer → test-automator → security-auditor → performance-engineer → deployment-engineer

Security Hardening

/workflows:security-hardening implement security best practices

Orchestrates: security-auditor → backend-security-coder → frontend-security-coder → mobile-security-coder → test-automator

Data/ML Pipeline

/workflows:ml-pipeline build customer churn prediction model

Orchestrates: data-scientist → data-engineer → ml-engineer → mlops-engineer → ai-engineer → performance-engineer

Incident Response

/workflows:incident-response debug high CPU usage in production

Orchestrates: incident-responder → devops-troubleshooter → debugger → error-detective → observability-engineer

Model Configuration

Agents are assigned to specific Claude models based on task complexity:

Model	Count	Use Cases
Opus	22	Complex architecture, critical analysis, security audits, business operations
Sonnet	50	Standard development, engineering tasks, quality assurance
Haiku	11	Quick focused tasks, SEO optimization, reference building

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

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

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

Parallel Execution

performance-engineer + database-optimizer → Merged optimization

Conditional Routing

debugger → [backend-architect | frontend-developer | devops-troubleshooter]

Validation Pipeline

feature-development → security-auditor → performance-engineer → Validated release

Migration from Commands Repository

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`, `django-pro`, `fastapi-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 new agents, workflows, or tools:

Create a new .md file in the agents/ directory 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.