Browse agent candidates

This skill helps you set up and troubleshoot Home Assistant automations and dashboards by generating YAML configurations and inspecting entities.

This skill helps you craft engaging microinteractions and smooth transitions to improve usability and delight users across ui components.

This skill helps simulate open-ended agentic life and emergent culture using a programmable world to explore tool use and communication.

AI Multi-Agent library for Javascript Developers.

This skill enforces structured tool-use discipline for OpenClaw agents, auditing behavior, and managing step limits to improve reliability and safety.

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct…

This skill helps you rapidly build LLM applications using agents, chains, and RAG with multi-provider support and robust tooling.

Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework

This skill helps you design advanced LangChain applications with agents, memory, and tool integration for scalable, multi-step LLM workflows.

This skill helps you build autonomous LangChain agents with tools for tool calling, decision-making, and multi-step task execution.

Build production LangChain agents with create_agent(), tools, and middleware patterns. \n \n Use create_agent() with model, tools list, and system prompt; co…

Builds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains, memory, tools, and retrieval-augmented generation in JavaScript.