Skill UI

Automates AI ML API workflows via Composio’s Rube MCP toolkit by searching available tools, validating the ai_ml_api connection, and executing RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments while handling sessions, memory, and pagination.

Automates Alttext AI operations through Composio’s toolkit by routing every workflow via Rube MCP, ensuring schema-aware tool discovery, connection checks, and execution with managed sessions.

Automates Alttext AI operations through Composio’s toolkit by routing every workflow via Rube MCP, ensuring schema-aware tool discovery, connection checks, and execution with managed sessions.

Automates Chmeetings tasks by orchestrating Composio’s toolkit through Rube MCP, guiding users to discover current tool schemas, verify toolkit connections, and execute workflows with schema-compliant arguments and managed sessions.

Automate Claid AI operations via the Rube MCP-powered Composio toolkit by first discovering tools, verifying active connections, and executing schema compliant actions through multi-tool calls, keeping sessions and memory consistent.

A sophisticated, two-stage system designed to capture and internalize user corrections and learnings during ongoing conversations. It automatically detects patterns (e.g., "use X instead of Y") and queues them. Users can manually review and apply these learnings to a persistent knowledge base (CLAUDE.md), ensuring the AI continuously improves its knowledge and adherence to specific user context for future sessions.

Defines how to automate Codeinterpreter tasks through Composio’s Rube MCP by first discovering current tool schemas, managing the Codeinterpreter connection, and executing schema-compliant tool calls while reusing sessions and honoring memory parameters.

Automatically evaluates Claude Code sessions at the Stop hook, identifies reusable patterns, and stores them as learned skills for future reuse, helping you capture troubleshooting steps, debugging techniques, and project conventions without manual effort.

Formal evaluation framework for Claude Code sessions that applies evaluation-driven development to define capability and regression checks, run deterministic and model graders, and track pass@k/pass^k reliability metrics before shipping.

Fetch execution traces from LangSmith Studio to inspect LangChain/LangGraph agent runs, analyze errors, tool calls, memory usage, and performance, and export sessions for deeper diagnostics using the langsmith-fetch CLI.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

Automates Scrapegraph AI operations through Composio’s Rube MCP, guiding you to discover tools, check active connections, execute schema-compliant workflows, and manage sessions and pagination safely.