Seth Hobson 8d1d907acf Add plugin marketplace installation and clean up README structure
Major Updates:
- Add Plugin Marketplace as primary installation method (Available Oct 9, 2025)
- Show /plugin commands for installing workflow-based collections
- Reorganize structure: Installation → Agent Categories → Model Config → Usage
- Remove Migration section (not relevant for this PR)
- Fix heading hierarchy issues from merge
- Preserve all 83 agent details in comprehensive tables
- Add workflow and tool invocation examples with proper syntax

The README now highlights the new plugin marketplace feature while
maintaining complete agent documentation and technical specifications.
2025-10-08 19:52:24 -04:00
2025-08-19 19:39:52 -04:00
2025-08-01 01:10:42 +05:30

Claude Code Workflows & Agents

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 across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO
  • 15 Workflow Orchestrators - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response
  • 42 Development Tools - Focused utilities for specific tasks including API scaffolding, security scanning, test automation, and infrastructure setup

Installation

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

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
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
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

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

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

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

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"

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

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

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

Contributing

To add new agents, workflows, or tools:

  1. Create a new .md file in the appropriate directory with frontmatter
  2. Use lowercase, hyphen-separated naming convention
  3. Write clear activation criteria in the description
  4. Define comprehensive system prompt with expertise areas

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

License

MIT License - see LICENSE file for details.

Resources

Description
No description provided
Readme MIT 12 MiB
Languages
Python 51.3%
C# 35.4%
Shell 7.9%
Makefile 5.4%