Skill UI

This bundle provides comprehensive diagnostics for SerpApi, allowing users to collect critical data points such as account status, current credit usage, rate limits, and recent search history. It is indispensable for troubleshooting API integration issues, verifying account health, or compiling detailed information for technical support tickets.

A comprehensive guide for deep debugging complex Shopify API issues. Learn how to use GraphQL introspection, analyze query cost headers, trace specific requests using X-Request-Id, and inspect webhook delivery status. This skill helps diagnose intermittent failures, throttling, and data inconsistencies in high-volume e-commerce environments.

This wrapper integrates Shopify's official AI Toolkit MCP server with Claude Code. It provides essential developer capabilities, including real-time GraphQL schema validation, Liquid template linting (checking for deprecated filters and anti-patterns), and instant search across Shopify's extensive documentation. Use this skill when setting up complex Shopify MCP integrations, ensuring code quality, or debugging API calls.

This guide details how to implement robust and secure authentication for Shopify applications using the official @shopify/shopify-api SDK. It covers three main authentication methods: OAuth flow for public apps, session token exchange for embedded apps, and private access for custom apps. Use this skill when setting up, connecting, or debugging any application that requires deep integration and secure API access to Shopify's admin or storefront data.

A comprehensive guide for deep debugging complex Snowflake issues. This guide covers advanced techniques including detailed query profiling (spill analysis), diagnosing lock contention and transaction conflicts, analyzing metadata operations, and optimizing partition usage. Use it when standard troubleshooting fails to address slow queries or warehouse performance bottlenecks.

This comprehensive guide provides solutions for common and complex errors encountered when using WebContainer and StackBlitz environments. It covers essential fixes for cross-origin isolation headers (COOP/COEP), managing WebContainer boot failures using singleton patterns, resolving npm installation hangs, and handling file system errors (ENOENT). Use this skill to stabilize and debug complex web development sandboxes.

This bundle provides comprehensive debugging guidance for automating TechSmith tools, specifically focusing on the Snagit COM API and Camtasia workflows. It details input/output constants, error handling procedures (e.g., COM registration, permissions), and scripting best practices using PowerShell or Python interop, enabling users to build advanced screen capture and video editing automation solutions.

This debug bundle provides comprehensive guidance for working with Together AI's OpenAI-compatible API. It supports critical LLM lifecycle tasks, including inference, fine-tuning, and model deployment for over 100 open-source models (e.g., Llama, Mixtral). It also includes detailed troubleshooting steps and solutions for common API errors (like 401 Unauthorized or 429 Rate limit), ensuring smooth development.

This skill guides a systematic process for debugging reported issues. It explores the codebase to identify the root cause, traces the code path, and then generates a comprehensive GitHub issue. The fix plan strictly follows the Test-Driven Development (TDD) Red-Green cycle, ensuring proposed solutions are robust and durable, surviving major refactors.

This bundle provides comprehensive debugging guidance for Veeva Vault, covering REST API interactions, advanced VQL querying, and utilizing the VAPIL Java SDK. It helps developers manage document lifecycles, authenticate sessions, and resolve common operational and data access errors within the life sciences domain.

This API provides a standardized, structured logging abstraction layer for modern application development. It supports multiple log levels (e.g., info, warn, error) and ensures logs are captured in a consistent, machine-readable format. It is essential for building robust applications that require detailed monitoring, debugging, and scalable operational insights.

A comprehensive guide for deploying, developing, and debugging Webiny serverless applications locally. Covers deployment using `yarn webiny deploy`, local watching for API and Admin components, managing various environments (dev, staging, prod), and troubleshooting infrastructure errors on AWS.