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
Plugin Marketplace (Recommended - Available October 9, 2025)
Install workflow-based plugin collections directly from the Claude Code plugin marketplace:
Manual Installation
All agents, workflows, and tools will be automatically available to Claude Code.
Repository Structure
Agent Categories
Architecture & System Design
Core Architecture
UI/UX & Mobile
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
Quality Assurance & Security
Code Quality & Review
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
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
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 |
SEO & Content Optimization
Specialized Domains
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
Tool Invocation
Direct Agent Access
Agents are automatically available and can be explicitly invoked:
Multi-Agent Orchestration Examples
Full-Stack Development
Orchestrates: backend-architect → graphql-architect → frontend-developer → mobile-developer → test-automator → security-auditor → performance-engineer → deployment-engineer
Security Hardening
Orchestrates: security-auditor → backend-security-coder → frontend-security-coder → mobile-security-coder → test-automator
Data/ML Pipeline
Orchestrates: data-scientist → data-engineer → ml-engineer → mlops-engineer → ai-engineer → performance-engineer
Incident Response
Orchestrates: incident-responder → devops-troubleshooter → debugger → error-detective → observability-engineer
Common Workflow Patterns
Feature Development
Performance Optimization
Production Incidents
Infrastructure Setup
ML Pipeline Development
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:
- Create a new
.md file in the appropriate directory with frontmatter
- Use lowercase, hyphen-separated naming convention
- Write clear activation criteria in the description
- Define comprehensive system prompt with expertise areas
Subagent Format
Each subagent is defined as a Markdown file with frontmatter:
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