Skill UI

This skill provides implementation patterns for using the Runway SDK. It enables users to perform advanced creative AI tasks, such as generating videos from text prompts or converting images to video, using the official Python SDK. It covers the full workflow, including setup, task execution, output retrieval, and error handling, making it ideal for creative media automation and advanced video production workflows.

This skill provides comprehensive integration patterns for the RunwayML platform, specializing in advanced AI video and image generation. Developers can programmatically create high-quality video content from text prompts or images, supporting sophisticated creative workflows. It is essential for building applications that require programmatic access to industry-leading creative AI capabilities.

This skill provides implementation patterns for interacting with RunwayML webhooks. It enables complex tasks such as AI video generation, image editing, and advanced creative content workflows. By using the provided Python SDK pattern, developers can trigger video creation tasks (e.g., image-to-video) and handle the asynchronous results, making it ideal for integrating high-end creative AI into applications.

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

A comprehensive guide providing production-ready patterns for integrating with Salesforce using jsforce (TypeScript) and simple-salesforce (Python). These patterns cover essential topics such as implementing singleton connection management with automatic token refresh, defining typed sObject interfaces, building type-safe SOQL query builders, and wrapping API calls with robust error handling mechanisms. Ideal for developers refactoring existing Salesforce integrations or establishing standardized team coding practices.

Provides production-ready, robust patterns for interacting with the SalesLoft REST API v2. This pattern solves common integration challenges by offering a type-safe client singleton, automatic iteration over paginated results, and intelligent handling of rate-limiting errors (429). Ideal for building scalable, reliable SalesLoft integrations using TypeScript or Python.

Utilize this tool to programmatically access and parse search engine result pages (SERP) data from multiple sources, including Google, Bing, YouTube, and Google News. It returns comprehensive, structured JSON data, allowing developers and marketers to extract organic results, knowledge graph entries, ads, and local information for advanced SEO analysis, market research, and data science projects. Supports both Python and Node.js implementations.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

This utility provides a robust local development loop for integrating search APIs (like SerpApi). By caching real search responses into fixtures, developers can test search integrations, write unit tests, and develop features offline without incurring continuous API costs. It includes detailed instructions and code examples for Python and Node.js, ensuring cost-effective and reproducible testing.

A comprehensive guide to managing API credit consumption and rate limits for SerpApi. This skill demonstrates how to implement robust throttling mechanisms using Python (Semaphore) and TypeScript (PQueue). It covers monitoring remaining account credits, slowing down requests to comply with per-second limits, and utilizing the search archive feature to optimize search volume and prevent unnecessary credit expenditure.

This guide provides detailed instructions for migrating code from the legacy `google-search-results` package to the modern `serpapi` client library. It covers major API changes, including structural updates in Python and Node.js, transitioning from callback-based or class-based calls to modern, promise/async-await structures. Use this when upgrading dependencies or updating search logic.

A comprehensive quick reference guide for diagnosing and resolving common operational and compilation errors encountered when working with Snowflake. It provides actionable solutions for issues like 'Object Does Not Exist', connectivity failures, authentication problems, and SQL syntax mistakes across various programming languages and drivers (Python, Node.js).