Skill UI

This skill provides comprehensive patterns and instructions for handling data within the Procore construction management platform. It details API integration using REST and OAuth2 authentication, enabling programmatic access to manage project information, process RFIs (Requests for Information), and handle submittals, streamlining industry workflows.

Qdrant is a high-performance vector database. This client SDK suite provides official, easy-to-use libraries for multiple programming languages (including Python, Java, Go, and TypeScript). It enables developers to seamlessly integrate sophisticated vector search capabilities into their applications, supporting both REST and gRPC APIs. Ideal for building semantic search engines, recommendation systems, and advanced AI applications.

This guide provides a comprehensive, step-by-step walkthrough for developers to set up QuickNode blockchain RPC endpoints and integrate required SDKs (such as @quicknode/sdk or ethers.js). Learn how to obtain endpoints, configure environment variables, and verify connectivity to major blockchain networks like Ethereum for seamless Web3 development.

This skill provides implementation patterns for migrating and upgrading blockchain infrastructure using QuickNode's RPC endpoints and SDK. It guides developers through connecting to QuickNode, handling common Web3 development errors (such as unauthorized access or rate limits), and ensuring seamless blockchain integration for modern applications.

A powerful command-line interface (CLI) tool, modeled after kubectl/docker, designed for comprehensive management of GPU compute jobs on the Qizhi platform. It supports job submission (interactive/non-interactive), resource discovery, node availability checking, and batch processing for distributed training and HPC workloads. Ideal for machine learning engineers and data scientists running large-scale scientific computations.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

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 skill provides implementation patterns and an SDK pattern for utilizing the RunwayML API. It allows users to perform advanced video generation, image-to-video tasks, and creative AI workflows directly within their code. Use cases include generating cinematic content, editing media, and managing API credits for complex creative projects.

This debug bundle provides development patterns and SDK integration for RunwayML, a powerful AI video generation and creative platform. Users can leverage this bundle to perform tasks like image-to-video conversion and advanced content creation. It includes structured examples and robust error handling, making it ideal for developers needing to integrate professional-grade AI video capabilities into their applications.

This guide provides detailed, step-by-step instructions for installing and authenticating the Runway ML SDK. It covers prerequisites for both Python and Node.js environments, including setting up API keys and verifying the connection. This setup is essential for developers who plan to perform high-fidelity AI video generation, image editing, or advanced creative content workflows using the Runway platform.

This skill provides a development loop for RunwayML, an advanced creative AI platform. It allows users to programmatically generate high-quality videos from images or text prompts using the Python SDK. Ideal for integrating Runway's capabilities into local development workflows, enabling advanced creative video production, editing, and media manipulation.

This guide details performance tuning and implementation patterns for the RunwayML platform. It provides a practical Python SDK pattern for advanced AI tasks, including image-to-video conversion and generating high-quality creative content using various models like gen3a_turbo. Ideal for developers integrating creative AI capabilities into their applications.