Skill UI

A comprehensive toolkit for designing, architecting, and evaluating complex multi-agent systems. It provides structured patterns—including Supervisor, Swarm, and Pipeline—for system architecture, defines agent roles (Coordinator, Specialist), and covers best practices for communication (Event Sourcing, Message Passing), tool design, and safety guardrails, ensuring robust and scalable AI workflows.

Build persistent agents on Azure AI Foundry through the Microsoft Agent Framework Python SDK, hooking into AzureAIAgentsProvider for tools, hosted services, streaming, and threaded conversations.

This skill guides the design and implementation of robust memory architectures for advanced AI agents. It moves beyond simple data storage, focusing on the critical art of memory retrieval. Learn strategies for chunking, selecting appropriate vector stores, and integrating various memory types (episodic, semantic, working) to ensure agents maintain long-term consistency and intelligence across millions of interactions. Ideal for building sophisticated, stateful autonomous agents.

This skill provides expertise in designing the critical interface between Large Language Models (LLMs) and external tools. It focuses on tool schema design, function calling best practices, and robust error handling to prevent common failures like hallucination or silent loops. It ensures that the tool's documentation and schema are crystal clear, allowing the LLM to use complex external APIs reliably and predictably.

Guide for automating Agentql tasks through Composio’s Rube MCP toolkit, covering prerequisites, setup, discovery, execution, and error avoidance so you can safely run workflows using the latest schemas.

Analyzes text to determine emotional tone and polarity, classifying passages as positive, negative, or neutral; ideal for processing reviews, social media posts, surveys, or any feedback that requires opinion mining or emotion detection.

Automates API Labz operations through Composio’s toolkit using the Rube MCP pipeline, guiding you to search for current schemas, manage connections, and run discovery, check, execute, and bulk workflows safely.

Automate Astica AI workflows through Composio’s Rube MCP bridge by discovering tools with RUBE_SEARCH_TOOLS, managing Astica connections, and executing tasks via RUBE_MULTI_EXECUTE_TOOL while respecting dynamic schemas.

This skill provides a systematic framework for constructing and analyzing attack trees. It is crucial for visualizing complex threat paths, identifying critical defense gaps, and effectively communicating detailed security risks to stakeholders. Use this during comprehensive security assessments, defensive planning, and risk modeling.

This skill provides a systematic framework for constructing and analyzing attack trees. It is crucial for visualizing complex threat paths, identifying critical defense gaps, and effectively communicating detailed security risks to stakeholders. Use this during comprehensive security assessments, defensive planning, and risk modeling.

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.