Skill UI

Guides operators through Composio’s Rube MCP Userlist automation, covering MCP setup, tool discovery via RUBE_SEARCH_TOOLS, connection checks, execution steps, and pitfall reminders for reliable workflows.

Guides using the GitHub CLI to inspect repositories, manage PRs/issues/actions, and fetch API data instead of curl/WebFetch, with tips for cloning, viewing, and automating GitHub workflows.

Validates API contracts using Pact and OpenAPI, generating consumer-driven contract tests, verifying responses, and ensuring backward compatibility for CI/CD workflows.

Automatically checks application metrics such as load times, bundle sizes, and API responses against predefined performance budgets, surfacing regressions and preventing slippage before deployments—ideal for CI/CD workflows.

This skill provides robust guidelines and patterns for managing environment variables and sensitive credentials securely. It is designed to ensure that secrets, API keys, and other confidential information are never accidentally exposed or logged in Claude sessions, terminal outputs, development logs, or version control commits (like Git). Use this skill when handling sensitive data in development workflows to maintain maximum security.

This comprehensive workflow guides users through the end-to-end process of utilizing cloud-based GPU computing resources on Vast.ai. It covers searching for ideal GPU offers based on specs and price, provisioning an instance, running complex training or inference jobs via SSH, collecting model artifacts, and crucially, destroying the instance to prevent unexpected billing. Ideal for deep learning training and research.

A comprehensive guide to optimizing deep learning workflows and maximizing efficiency on cloud GPU platforms like Vast.ai. Learn techniques for selecting optimal instances by performance-per-dollar, reducing startup latency, tuning data pipelines (DataLoader, pin_memory), and scaling multi-GPU training using PyTorch and Bash scripting.

This guide details the production-grade reference architecture for running complex GPU compute workflows on Vast.ai. It covers the foundational three-tier pattern—Orchestrator, GPU Workers, and Artifact Storage—providing blueprints for job queue management, fault-tolerant training pipelines, and robust checkpointing. Use this when designing scalable and reliable ML/AI training systems.

Implement robust, event-driven workflows for managing GPU resources on Vast.ai. Since native webhooks are unavailable, this skill uses Python polling to continuously monitor instance status changes (e.g., loading, running, exited). It enables complex automation tasks such as auto-recovering from spot preemption, handling lifecycle events, and tracking billing costs.

Automate Venly operations via the Composio Rube MCP stack by discovering current tool schemas, validating connections, and executing schema-compliant actions for NFT and wallet workflows.

Automate Veo tasks by orchestrating Composio’s toolkit through Rube MCP, following mandatory tool discovery, connection checks, and schema-compliant executions before running workflows.

Automates Vercel operations through Composio’s Rube MCP toolkit, covering deployment inspections, creation, env var updates, DNS, and project configuration via guided workflows.