Skill UI

This skill integrates with the Runway ML platform, enabling developers to programmatically generate high-quality video and edit images using the official Python SDK. Use this when your workflow requires advanced creative AI features, such as converting text prompts into videos, or managing complex creative tasks within a CI/CD pipeline. The skill provides necessary patterns and error handling for successful API calls.

This comprehensive guide details the configuration of Salesforce's multi-layered security model, including Profiles, Permission Sets, Roles, Organization-Wide Defaults (OWD), and Sharing Rules. It is essential for implementing robust Role-Based Access Control (RBAC) and integrating advanced features like SAML SSO, ensuring users only access necessary data.

An advanced AI tool utilizing Meta's Segment Anything 2 (SAM2) model for interactive, pixel-perfect object segmentation. Users can click on any object within a frame or video to automatically generate precise masks. Key features include point/box prompting, video tracking across multiple frames, and seamless integration into Annotation Studio workflows, making it ideal for large-scale data labeling and video analysis pipelines.

This workflow utilizes the SerpApi to perform advanced, multi-engine searches across platforms including YouTube, Bing, Google News, Google Shopping, and Google Maps. It is essential for data scraping, SEO research, and building comprehensive search features that require aggregating results from diverse sources beyond standard Google search. Use it to collect videos metadata, product pricing, local business details, and news articles efficiently.

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 production readiness checklist for integrating SerpApi into live applications. This guide covers critical steps including secure API key management, setting up usage monitoring and credit budgets, implementing robust error handling, and optimizing performance for high availability. Use this when deploying or upgrading search features powered by SerpApi.

Shipwright is an autonomous, multi-phase agent designed to convert simple, plain-English requirements into fully functional, tested, and deployment-ready applications. It supports modern full-stack frameworks like Next.js/Supabase, SvelteKit, and Astro. Use this tool when you need to scaffold a complete project, add complex features, or generate an entire SaaS dashboard merely by describing it.

This skill provides comprehensive guidance on implementing robust data governance and security guardrails within Snowflake. It covers advanced features such as network rules, mandatory authentication policies (MFA, Key Pair), session timeouts, and statement-level controls. Use this when enforcing strict security policies, achieving regulatory compliance, or structuring robust data access controls for a Snowflake environment.

A comprehensive guide to setting up a local development loop for WebContainer applications. This setup utilizes Vite for a modern development environment, providing hot module replacement (HMR) and cross-origin policy configuration. It includes detailed steps for running Vitest tests, ensuring file system operations and browser-based IDE features function correctly in a simulated local environment.

This guide provides a comprehensive tutorial on running various AI inference tasks using the Together AI API, which is compatible with the OpenAI standard. It demonstrates key functionalities including chat completions, streaming responses, image generation, and creating embeddings. This is ideal for developers who need to test open-source models, compare performance across different LLMs (like Llama or Mixtral), or integrate powerful generative AI features into their applications using Python or Node.js.

This comprehensive checklist guides the operational setup (MLOps) for AI applications using Together AI's OpenAI-compatible API. It covers critical production concerns, including secure API key management, implementing robust rate limit handling, building error resilience features (circuit breakers, exponential backoff), and setting up comprehensive monitoring for latency, cost control, and model availability. Essential for reliable, scalable LLM deployment.

TweetClaw provides comprehensive automation capabilities for X/Twitter using the Xquik REST API. It allows users to perform full read and write operations—including posting, replying, liking, following, and sending DMs. Key features include advanced tweet searching, bulk data scraping (23 tools), account monitoring, running structured giveaways, and composing algorithm-optimized content. Ideal for social media managers, digital marketers, and data analysts needing deep platform insights.