ClaudeKit - Agent Skills
Agent Skills are specialized workflows that empower Claude to perform complex, multi-step tasks with precision and reliability. They combine mission briefs, guardrails, and integration hints to transform generic AI assistance into disciplined automation.
Learn more about Agent Skills: https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview
My other projects
- My Blog
- ClaudeKit
- UI UX Pro Max Skill
- GoClaw - OpenClaw for Enterprise
- AgentWiki - Knowledge Base for both humans & AI agents
- TOSE - The Outstanding Shipping Solution
🎉 NEW [Dec 2025]: Claude Code Marketplace!
ClaudeKit Skills is now available as a Plugin Marketplace for seamless installation and automatic updates!
/plugin marketplace add mrgoonie/claudekit-skills
/plugin install ai-ml-tools@claudekit-skills
No more manual git clones! Install and update skills with simple commands. See Getting Started for full installation guide.
Update [Nov 2025]: No more context bloat with "mcp-manager" subagent + "mcp-management" skills!
📖 Read more here: MCP_MANAGEMENT.md
✨ Skills just got refactored!
📖 Read more here: REFACTOR.md
Skills catalog
🔐 Authentication & Security
- better-auth - Comprehensive TypeScript authentication framework supporting email/password, OAuth, 2FA, passkeys, and multi-tenancy. Works with any framework (Next.js, Nuxt, SvelteKit, etc.).
🤖 AI & Agent Development
- context-engineering - Master context engineering for AI agent systems. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, or building multi-agent coordination.
- google-adk-python - Google's Agent Development Kit (ADK) for building AI agents with tool integration, multi-agent orchestration, workflow patterns (sequential, parallel, loop), and deployment to Vertex AI or custom infrastructure.
💻 Backend Development
- backend-development - Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
🧠 AI & Machine Learning
- ai-multimodal - Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio (transcription, summarization up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A), process videos (scene detection, Q&A, temporal analysis, YouTube URLs up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams), generate images (text-to-image, editing, composition). Supports Gemini 2.5/2.0 with context windows up to 2M tokens.
- context-engineering - Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, or evaluating agent performance. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, and memory architectures.