Skill UI

Enables Trigger.dev-based background jobs, AI workflows, and scheduled or batch async execution with a TypeScript-first SDK, durable retries, and built-in integrations while matching production behavior through the local CLI.

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.

Comprehensive guidance for mastering advanced TypeScript type features, including generics, conditional types, mapped types, and utility types. This skill is essential for building robust, maintainable, and highly type-safe applications, such as large-scale libraries, complex API clients, and advanced state management solutions.

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.

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.

A comprehensive guide to installing and configuring the Vast.ai Command Line Interface (CLI) and REST API access. This skill is used for setting up new cloud integrations, managing API keys, and initializing access to GPU compute instances from the Vast.ai marketplace. It provides steps for CLI authentication, environment variable setup, and implementing a Python client for resource management.

Comprehensive guide for upgrading the Vast.ai CLI and Python SDK. This skill helps users manage API version migrations, detect breaking changes, and update associated Docker images (e.g., CUDA versions). It ensures continuous compatibility when working with cloud GPU computing resources.

A comprehensive guide for diagnosing and resolving common Vercel deployment errors across build, runtime, and edge network layers. Use this resource when encountering failed deployments, 500/504 errors, or issues with serverless functions. It provides detailed root cause analysis and step-by-step fixes using CLI commands and log inspection.

This guide provides comprehensive methods for deploying, promoting, and managing Vercel applications in production environments. It covers advanced strategies like instant rollback, controlled rolling releases (canary deployments), multi-region function configuration, and integrating with headless CMS via deploy hooks. Use this when you require robust CI/CD practices, high availability, and predictable production traffic management.

Comprehensive guide for creating, managing, and automating preview deployments on Vercel. Learn how to utilize both the CLI and REST API to deploy unique, temporary environments for specific branches or pull requests. This is essential for pre-production testing, integrating into CI/CD pipelines, and sharing stable preview URLs with stakeholders before merging to main.

A comprehensive, step-by-step guide for responding to Vercel-related production outages, deployment failures, and platform issues. This runbook covers rapid triage using CLI commands, executing instant rollbacks, investigating root causes (log analysis, diffing), managing communication templates, and conducting thorough postmortem reviews.

This skill guides developers through installing the Vercel Command Line Interface (CLI) and configuring secure authentication. It covers multiple setup scenarios, including interactive OAuth login, setting environment tokens for CI/CD pipelines, and linking a local project directory to a specific Vercel project. Essential for initial project setup and ensuring smooth deployments.