Claude Code Plugins: Orchestration and Automation
Overview
This unified GitHub repository provides a robust framework for enhancing software development through AI-driven automation specifically tailored for Claude Code. It features 63 focused plugins that are granular and optimized for minimal token usage, ensuring composability without overwhelming the model's context. At its core are 85 specialized AI agents acting as domain experts in areas such as software architecture, programming languages, infrastructure management, quality assurance, data and AI integration, documentation, business operations, and SEO optimization. These agents are complemented by 47 modular agent skills that employ progressive disclosure to load specialized knowledge only when needed, promoting token efficiency.
Additionally, the system includes 15 workflow orchestrators designed for coordinating multiple agents in complex scenarios, such as full-stack development, security hardening, machine learning pipelines, and incident response. Rounding out the toolkit are 44 development tools that handle tasks like project scaffolding, security scanning, automated testing, and infrastructure provisioning.
Key Features and Architecture
The plugin architecture emphasizes single-responsibility principles, with each of the 63 plugins isolated to include its own agents, commands, and skills. This allows users to install only what's necessary— for instance, the python-development plugin loads just 3 Python-specific agents, 1 scaffolding tool, and 5 relevant skills, consuming around 300 tokens. The design follows Anthropic's recommended patterns, averaging 3.4 components per plugin to balance functionality and efficiency.
Agent Skills and Progressive Disclosure
The 47 agent skills are categorized across domains like language development (e.g., 5 Python skills covering async patterns, testing, and UV package management; 4 JavaScript/TypeScript skills on advanced types and modern ES6+), infrastructure (e.g., 4 Kubernetes skills on manifests, Helm, GitOps, and security), and more specialized areas like LLM applications (LangChain, RAG, prompt engineering), blockchain (DeFi, Solidity), and security scanning. Skills operate in a three-tier structure: metadata always loaded, instructions on activation, and resources (examples/templates) on demand.
Hybrid Model Orchestration
Optimized for Claude's latest models (Sonnet 4.5 and Haiku 4.5), the system assigns tasks strategically: 47 agents use Haiku for fast, deterministic execution, while 38 leverage Sonnet for complex reasoning. Orchestration patterns like 'Sonnet (planning) → Haiku (execution) → Sonnet (review)' ensure cost-effective performance.
Usage and Quick Start
Getting started is straightforward: Add the marketplace via /plugin marketplace add wshobson/agents, then browse and install plugins like /plugin install python-development or /plugin install full-stack-orchestration. Each installation loads only pertinent components into context, enabling commands such as /full-stack-orchestration:full-stack-feature "user authentication with OAuth2", which coordinates 7+ agents from backend architecture to deployment.
Popular use cases include:
- Full-Stack Development: Orchestrating agents for end-to-end feature building.
- Security Hardening: Comprehensive scans with SAST, dependency checks, and AI reviews.
- Python Scaffolding: Generating FastAPI projects with async and testing skills.
- Kubernetes Deployments: Creating production-grade configs using specialized K8s agents.
The 23 plugin categories span development, documentation, workflows, testing, AI/ML, data, databases, operations, performance, infrastructure, security, languages, blockchain, finance, payments, gaming, marketing, and business—each with 1-6 focused plugins.
Contributing and Resources
The repository structure is clean: plugins in subdirectories with agents/commands/skills, docs for references, and adherence to MIT License. Contributors can add new components by following guidelines in docs/architecture.md. For deeper dives, explore the plugin catalog, agent references, usage guides, and links to Claude Code documentation on plugins, subagents, and slash commands.
This system transforms Claude Code into a powerhouse for AI-augmented development, making complex workflows accessible and efficient.
