Skill UI

Automate Chatfai operations through the Rube MCP connector by always discovering tool schemas, validating the chatfai connection, and invoking RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments and memory placeholders.

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.

Clarity Gate ensures documents entering RAG knowledge bases retain epistemic quality by generating Clarity-Gated Documents, validating Source of Truth tables, and running deterministic claim/document hash scripts before ingestion.

Captures user corrections during Claude sessions, queues them for review, and syncs accepted learnings into CLAUDE.md so future runs use the verified tools and conventions; run `/reflect` whenever you complete meaningful work or explicitly ask Claude to remember something.

Guides researchers through ten structured ideation frameworks to move from vague curiosity to actionable, defensible research proposals, supporting exploration of new problem spaces, pivoting projects, and surfacing high-impact angles.

Chroma is an open-source, AI-native embedding database designed for building sophisticated LLM applications. It allows users to store high-dimensional embeddings and associated metadata, facilitating powerful vector search and full-text filtering. Ideal for implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and document retrieval in local or self-hosted environments, making it perfect for open-source AI projects and prototyping.

CLIP enables general-purpose vision-language tasks through zero-shot image classification, similarity scoring, semantic search, and content moderation using pretrained contrastive embeddings without fine-tuning.

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.

Automates Coinmarketcal workflows by using Composio’s Rube MCP toolkit to discover tool schemas, manage toolkit connections, and execute multi-tool operations safely following live schemas and session patterns.

Guide for automating Coinranking operations through Composio’s toolkit via Rube MCP, emphasizing tool discovery, connection checks, schema compliance, and multi-execution workflows for reliable task execution.

This skill details the fundamental architecture of computer use agents, following the Perception-Reasoning-Action loop. It shows how to integrate vision models with desktop control using Python, simulating screen observation, planning, and action execution (mouse/keyboard). Crucially, it mandates and demonstrates best practices for running these agents within secure, isolated, sandboxed environments (e.g., using Docker, seccomp, and resource limits) to minimize security risks and ensure reliable deployment.