Skill UI

This skill guides the implementation of a comprehensive project checklist using the Procore REST API. It covers OAuth2 authentication, necessary API call patterns (such as retrieving company data), and includes thorough error handling for common issues like unauthorized access or rate limits. Ideal for developers integrating Procore into custom project management workflows, handling tasks like RFIs, submittals, and overall project status tracking.

This skill provides detailed instructions on implementing Procore API calls, focusing on OAuth2 authentication and robust error handling. It is crucial for automating tasks such as retrieving project data, managing RFIs, or handling submittals within a construction management workflow, ensuring reliable interaction while respecting API rate limits.

This guide provides implementation patterns for integrating with the Procore platform using its REST API. It covers the necessary steps for OAuth2 authentication, basic API call patterns (like listing companies), and robust error handling techniques. Ideal for developers working on project management systems, requiring seamless integration for tasks such as handling RFIs, submittals, and overall construction project lifecycle management.

This skill provides patterns for Procore upgrade migration and platform integration using the REST API and OAuth2 authentication. It allows programmatic interaction with the Procore platform for core construction management tasks, including project lifecycle management, RFI tracking, and submittal processing, ensuring seamless workflow automation.

Rowan is a cloud-native workflow platform exposed via a Python API for medicinal chemistry and molecular design. It provides programmatic access to critical computational tasks, including pKa prediction, molecular docking, conformer generation, MSA generation, and protein-ligand cofolding. It eliminates the need for users to manage local HPC or GPU infrastructure, making it ideal for large-scale batch screening and complex multi-step chemistry pipelines.

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.

A comprehensive guide and implementation pattern for handling common errors when working with the Runway AI platform. This skill provides Python SDK examples for tasks like image-to-video generation, along with structured solutions for API issues such as 'Unauthorized' (401) or 'Insufficient credits' (402), ensuring smooth and reliable creative AI workflows.

A comprehensive workflow for advanced creative AI tasks, specializing in video and image manipulation. This tool enables image-to-video animation (turning static photos into motion), video-to-video style transfer (applying artistic styles to existing footage), and general creative content generation using models like Gen-3 Alpha Turbo. Ideal for professional video editors and digital artists.

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 integration provides programmatic access to Runway's powerful AI creative platform. Use it for advanced tasks such as generating high-definition videos from text prompts, performing image-to-video transformations, or applying complex creative AI filters. It is essential for developers building applications that require cinematic, generative media capabilities.

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.