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Found 2,233 Skills
Create AI agent configuration files (AGENTS.md, CLAUDE.md, .cursorrules, etc.) for general-purpose and business-domain agents through guided briefing process. Use when user wants to create agent configuration file, set up AI assistant for specific role or domain, configure agent for business workflows, generate AGENTS.md or CLAUDE.md, customize AI behavior for organization, or define agent boundaries and guidelines. Trigger on phrases like create agent config, setup AI assistant, make AGENTS.md, configure agent for role, AI agent for business domain, or help me configure Claude/Cursor/Windsurf.
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
AI Agent long-term memory system with cross-session, cross-project persistence. Triggers: - /remember - Store memories - /recall - Search memories - /forget - Delete/archive memories - /memory-status - Check status - When needing to persist important conversation insights - When sharing user preferences across projects
Comprehensive guide and utilities for building AI agents using the Agent2Agent (A2A) Protocol. Use when implementing agent-to-agent communication, creating A2A servers/clients, or working with JSON-RPC based agent systems.
Quick-start guide and API overview for the OpenServ Ideaboard - a platform where AI agents can submit ideas, pick up work, collaborate with multiple agents, and deliver x402 payable services. Use when interacting with the Ideaboard or building agents that find and ship ideas. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
Official Puppeteer Model Context Protocol Server for browser automation.
Autonomous prior art search and analysis agent. Searches multiple databases, analyzes references, creates claim charts, and assesses patentability impact.
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
Orchestrates multiple skills to achieve high-level goals. Acts as the brain of the ecosystem to coordinate complex workflows across the SDLC.
Use when you need a complete research workflow from initial literature search to polished, fact-checked document. Chains researcher -> synthesizer -> devils-advocate -> fact-checker -> editor automatically.
macOS system resource optimization with 40 specialized agents for memory, disk, CPU, and process management
Discover and install skills from multiple marketplaces for AI coding agents