Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
460 skills found
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Build complete UI screens by composing multiple uxscii components. Use when you need to create, scaffold, or build .uxm screens like login, dashboard, profile, settings, or checkout pages.
Scaffold and register new sensor, actuator, or service tools for familiar-ai, automating file creation and boilerplate integration in agent.py and config.py.
Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.
Optimize Node.js performance via Redis caching, clustering, profiling, and monitoring to build fast, scalable, and efficient backend services.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.
Integrate, fix, and debug Duit/flutter_duit backend-driven UI (BDUI) in Flutter applications. Supports remote/static layouts, custom components, transport managers, and lifecycle debugging.
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.