Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
146 skills found
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.
A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
AI language tutor for personalized learning through conversation, grammar lessons, vocabulary drills, and flashcards. Supports 100+ languages including Spanish, French, Japanese, and Mandarin.
Token-efficient CLI for browser automation, web testing, and agentic workflows using Playwright.