💡 Summary
A comprehensive marketplace for specialized AI agents and plugins to enhance software development automation.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Critical. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.
Claude Code Plugins: Orchestration and Automation
⚡ Updated for Opus 4.5, Sonnet 4.5 & Haiku 4.5 — Three-tier model strategy for optimal performance
🎯 Agent Skills Enabled — 129 specialized skills extend Claude's capabilities across plugins with progressive disclosure
A comprehensive production-ready system combining 108 specialized AI agents, 15 multi-agent workflow orchestrators, 129 agent skills, and 72 development tools organized into 72 focused, single-purpose plugins for Claude Code.
Overview
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
- 72 Focused Plugins - Granular, single-purpose plugins optimized for minimal token usage and composability
- 108 Specialized Agents - Domain experts with deep knowledge across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO
- 129 Agent Skills - Modular knowledge packages with progressive disclosure for specialized expertise
- 15 Workflow Orchestrators - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response
- 72 Development Tools - Optimized utilities including project scaffolding, security scanning, test automation, and infrastructure setup
Key Features
- Granular Plugin Architecture: 72 focused plugins optimized for minimal token usage
- Comprehensive Tooling: 72 development tools including test generation, scaffolding, and security scanning
- 100% Agent Coverage: All plugins include specialized agents
- Agent Skills: 129 specialized skills following for progressive disclosure and token efficiency
- Clear Organization: 23 categories with 1-6 plugins each for easy discovery
- Efficient Design: Average 3.4 components per plugin (follows Anthropic's 2-8 pattern)
How It Works
Each plugin is completely isolated with its own agents, commands, and skills:
- Install only what you need - Each plugin loads only its specific agents, commands, and skills
- Minimal token usage - No unnecessary resources loaded into context
- Mix and match - Compose multiple plugins for complex workflows
- Clear boundaries - Each plugin has a single, focused purpose
- Progressive disclosure - Skills load knowledge only when activated
Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 5 skills available (~300 tokens), not the entire marketplace.
Quick Start
Step 1: Add the Marketplace
Add this marketplace to Claude Code:
/plugin marketplace add wshobson/agents
This makes all 72 plugins available for installation, but does not load any agents or tools into your context.
Step 2: Install Plugins
Browse available plugins:
/plugin
Install the plugins you need:
# Essential development plugins /plugin install python-development # Python with 5 specialized skills /plugin install javascript-typescript # JS/TS with 4 specialized skills /plugin install backend-development # Backend APIs with 3 architecture skills # Infrastructure & operations /plugin install kubernetes-operations # K8s with 4 deployment skills /plugin install cloud-infrastructure # AWS/Azure/GCP with 4 cloud skills # Security & quality /plugin install security-scanning # SAST with security skill /plugin install code-review-ai # AI-powered code review # Full-stack orchestration /plugin install full-stack-orchestration # Multi-agent workflows
Each installed plugin loads only its specific agents, commands, and skills into Claude's context.
Plugins vs Agents
You install plugins, which bundle agents:
| Plugin | Agents |
| ----------------------- | ------------------------------------------------- |
| comprehensive-review | architect-review, code-reviewer, security-auditor |
| javascript-typescript | javascript-pro, typescript-pro |
| python-development | python-pro, django-pro, fastapi-pro |
| blockchain-web3 | blockchain-developer |
# ❌ Wrong - can't install agents directly /plugin install typescript-pro # ✅ Right - install the plugin /plugin install javascript-typescript@claude-code-workflows
Troubleshooting
"Plugin not found" → Use plugin names, not agent names. Add @claude-code-workflows suffix.
Plugins not loading → Clear cache and reinstall:
rm -rf ~/.claude/plugins/cache/claude-code-workflows && rm ~/.claude/plugins/installed_plugins.json
Documentation
Core Guides
- Plugin Reference - Complete catalog of all 72 plugins
- Agent Reference - All 108 agents organized by category
- Agent Skills - 129 specialized skills with progressive disclosure
- Usage Guide - Commands, workflows, and best practices
- Architecture - Design principles and patterns
Quick Links
- Installation - Get started in 2 steps
- Essential Plugins - Top plugins for immediate productivity
- Command Reference - All slash commands organized by category
- Multi-Agent Workflows - Pre-configured orchestration examples
- Model Configuration - Haiku/Sonnet hybrid orchestration
What's New
Agent Skills (129 skills across 20 plugins)
Specialized knowledge packages following Anthropic's progressive disclosure architecture:
Language Development:
- Python (5 skills): async patterns, testing, packaging, performance, UV package manager
- JavaScript/TypeScript (4 skills): advanced types, Node.js patterns, testing, modern ES6+
Infrastructure & DevOps:
- Kubernetes (4 skills): manifests, Helm charts, GitOps, security policies
- Cloud Infrastructure (4 skills): Terraform, multi-cloud, hybrid networking, cost optimization
- CI/CD (4 skills): pipeline design, GitHub Actions, GitLab CI, secrets management
Development & Architecture:
- Backend (3 skills): API design, architecture patterns, microservices
- LLM Applications (8 skills): LangGraph, prompt engineering, RAG, evaluation, embeddings, similarity search, vector tuning, hybrid search
Blockchain & Web3 (4 skills): DeFi protocols, NFT standards, Solidity security, Web3 testing
Project Management:
- Conductor (3 skills): context-driven development, track management, workflow patterns
And more: Framework migration, observability, payment processing, ML operations, security scanning
→ View complete skills documentation
Three-Tier Model Strategy
Strategic model assignment for optimal performance and cost:
| Tier | Model | Agents | Use Case | | ---------- | -------- | ------ | ----------------------------------------------------------------------------------------------- | | Tier 1 | Opus 4.5 | 42 | Critical architecture, security, ALL code review, production coding (language pros, frameworks) | | Tier 2 | Inherit | 42 | Complex tasks - user chooses model (AI/ML, backend, frontend/mobile, specialized) | | Tier 3 | Sonnet | 51 | Support with intelligence (docs, testing, debugging, network, API docs, DX, legacy, payments) | | Tier 4 | Haiku | 18 | Fast operational tasks (SEO, deployment, simple docs, sales, content, search) |
Why Opus 4.5 for Critical Agents?
- 80.9% on SWE-bench (industry-leading)
- 65% fewer tokens for complex tasks
- Best for architecture decisions and security audits
Tier 2 Flexibility (inherit):
Agents marked inherit use your session's default model, letting you balance cost and capability:
- Set via
claude --model opusorclaude --model sonnetwhen starting a session - Falls back to Sonnet 4.5 if no default specified
- Perfect for frontend/mobile developers who want cost control
- AI/ML engineers can choose Opus for complex model work
Cost Considerations:
- Opus 4.5: $5/$25 per million input/output tokens - Premium for critical work
- Sonnet 4.5: $3/$15 per million tokens - Balanced performance/cost
- Haiku 4.5: $1/$5 per million tokens - Fast, cost-effective operations
- Opus's 65% token reduction on complex tasks often offsets higher rate
- Use
inherittier to control costs for high-volume use cases
Orchestration patterns combine models for efficiency:
Opus (architecture) → Sonnet (development) → Haiku (deployment)
→ View model configuration details
Popular Use Cases
Full-Stack Feature Development
/full-stack-orchestration:full-stack-feature "user authentication with OAuth2"
Coordinates 7+ agents: backend-architect → database-architect → frontend-developer → test-automator → security-auditor → deployment-engineer → observability-engineer
Security Hardening
/security-scanning:security-hardening --level comprehensive
Multi-agent security assessment with SAST, dependency scanning, and code review.
Python Development with Modern Tools
/python-development:python-scaffold fastapi-microservice
Creat
Pros
- Modular and focused plugins for specific tasks.
- Supports a wide range of development and operational needs.
- Efficient token usage for cost-effective operations.
Cons
- Complexity may overwhelm new users.
- Requires understanding of plugin architecture.
- Dependency on external plugins for full functionality.
Related Skills
claude-mods
A“Powerful, but the setup might scare off the impatient.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author wshobson.
