Skill UI

Generates production-ready Claude-powered agents with Google’s ADK, bundling React-style loops, tool-augmented capabilities, multi-agent orchestration, workflow automation, and test scaffolding.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

CrewAI orchestrates autonomous multi-agent teams for role-based collaboration, sequential or hierarchical workflows, and production-grade orchestration with memory and tool integrations without LangChain.

Toolkit for prompt engineering experts to optimize prompts, evaluate LLM outputs, design agentic workflows, assess RAG quality, and curate few-shot examples across evaluation and orchestration tasks.

Guides Rube MCP users through Supportivekoala automation via Composio, emphasizing tool discovery, connection checks, schema compliance, and multi-step execution for reliable workflow orchestration.

Documentation for the Pipecat-powered Daily framework that guides agents through building production-ready real-time voice and multimodal AI pipelines, covering low-latency audio/video/text flows, transport choices, LLM/tool orchestration, and turn/context management.

Evaluates incoming requests, decides if specialized skills are needed, orchestrates optimal combinations, and logs successful pairings in agent-memory while guarding against overusing complex tools on simple tasks.