Skill UI

This skill outlines a systematic workflow for addressing review comments and issue feedback on GitHub Pull Requests (PRs) using the GitHub CLI (`gh`). It guides users through inspecting comments, planning fixes, applying code changes, and finally responding to the threads as resolved, ensuring a streamlined code review process.

Automates Addresszen tasks by orchestrating Composio’s Addresszen toolkit through the Rube MCP workflow, ensuring schema-aware tool discovery, session-aware execution, and connection checks before running any operations.

Guide to automate Adrapid operations through Composio's toolkit using Rube MCP, covering prerequisites, tool discovery, execution patterns, and best practices for schema compliance, connection checks, and session reuse.

Automate Composio’s Aero Workflow toolkit through the Rube MCP bridge, discovering current tool schemas with `RUBE_SEARCH_TOOLS`, validating connections, and dispatching schema-compliant calls to `RUBE_MULTI_EXECUTE_TOOL` for safe workflow operations.

Guides automating Affinda tasks through Composio's Rube MCP client, detailing connection setup, tool discovery, multi-tool execution, and reminders about schema searches, sessions, and pagination safety.

Automates Affinity tasks through Composio’s toolkit by using the Rube MCP commands to search for current tool schemas, validate the affinity connection, and execute schema-compliant workflows across RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS, and RUBE_MULTI_EXECUTE_TOOL.

Streamlines Agencyzoom operations through Composio’s toolkit by driving Rube MCP searches, connection checks, and multi-execute calls before any action, making it ideal for automation engineers embedding CRM tasks into composable workflows.

A comprehensive tool for designing, generating schemas, and evaluating complex multi-agent systems. It guides users through defining system requirements, selecting optimal orchestration patterns (Supervisor, Swarm, Pipeline), generating provider-ready tool schemas (Anthropic/OpenAI), and analyzing execution logs for performance bottlenecks, cost, and latency. This ensures robust, production-grade autonomous workflows.

This SDK allows developers to build persistent, sophisticated AI agents directly on Azure AI Foundry. It supports complex conversational workflows by integrating external functions (tools), enabling code execution, web search, and maintaining conversation history through dedicated thread management. Ideal for developing enterprise-grade, production-ready AI applications.

A sophisticated hybrid memory system designed specifically for AI agents. It provides a persistent, searchable knowledge bank to store, retrieve, and manage long-term knowledge, including architectural designs, operational patterns, and critical decision points. By syncing with project documentation, it ensures that crucial institutional knowledge remains accessible throughout the development lifecycle, enhancing agent reliability and consistency.

An advanced AI-driven framework for holistic performance engineering of multi-agent systems. It provides coordinated profiling, workload distribution, and cost-aware orchestration across various domains (database, application, frontend). Use this tool to identify bottlenecks, improve throughput, enhance reliability, and manage resource constraints in complex agent workflows.

Covers designing agent tools from schema creation through validation and error handling, emphasizing descriptions that keep LLMs accurate and reusable via MCP standards.