Skill UI

Assists API developers by recommending appropriate status codes, explaining patterns, and generating production-ready REST/GraphQL/OpenAPI snippets with validations.

Orchestrates Statuscake monitoring tasks through Rube MCP and Composio toolkits, guiding workflow discovery, connection checks, and schema-compliant executions for reliable automation.

A comprehensive guide for structured incident response when a Supabase-backed application fails. This runbook guides users through triaging issues, verifying platform status, inspecting connection pools, debugging stuck queries using pg_stat_activity, and analyzing Edge Function logs. Essential for root cause analysis and escalating issues to support.

Uses Rube MCP and Composio's Tomtom toolkit to automate Tomtom workflows, from fetching live tool schemas with `RUBE_SEARCH_TOOLS` to validating `RUBE_MANAGE_CONNECTIONS` status and executing `RUBE_MULTI_EXECUTE_TOOL` calls with schema-compliant arguments.

This skill provides comprehensive guidance for the entire lifecycle of Conductor tracks—the logical work units used to organize features, bugs, and refactors. It assists users in creating, reviewing, updating specifications (spec.md), developing plans (plan.md), and managing the status and metadata of tasks from initial conception through final completion, ensuring structured and traceable development processes.

This tool collects comprehensive diagnostic data for TwinMind issues. It gathers crucial information including environment details (OS, Node.js version, memory), API health status, network connectivity, and configuration snapshots. It is essential for generating detailed bug reports or preparing for technical support requests, helping developers quickly pinpoint the root cause of complex problems.

A comprehensive guide for diagnosing and resolving common errors encountered when utilizing the Vast.ai platform. It provides quick references and fixes for HTTP status codes (e.g., 401, 429), instance lifecycle issues, CLI command failures, Docker image loading problems, SSH connectivity errors, and CUDA memory issues. Essential for maximizing GPU rental efficiency and debugging cloud instances.

Collects comprehensive diagnostic evidence for troubleshooting Vast.ai GPU instances. This bundle gathers account status, lists all running instances, retrieves recent logs, performs remote GPU diagnostics (e.g., nvidia-smi, CUDA checks), and verifies API connectivity. It is essential for creating detailed support tickets when encountering persistent infrastructure issues.

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.

A comprehensive guide for implementing secure and reliable webhook endpoints to handle Vercel deployment lifecycle events. This skill covers signature verification (HMAC) to ensure security, processing key events (e.g., deployment.ready, deployment.error), and implementing idempotency to prevent duplicate actions. Ideal for building automated CI/CD integrations, status notifications, or custom project hooks that react to deployment changes in real-time.

This skill facilitates the end-to-end deployment of web applications and websites, supporting full-stack architectures including backend APIs, databases, and file storage. It is used when the user wishes to publish a project to a public, live URL, managing the entire deployment lifecycle from template selection to status checking and updates.

This command guides the entire lifecycle of major feature development, providing a structured, multi-phase workflow. It helps users move a feature from initial concept (research) through planning, implementation, and progress tracking. Use it when you need to coordinate status, next steps, and phased delivery for complex features.