Skill UI

This skill provides implementation patterns for robust error handling when integrating with the Procore REST API. It covers essential topics like OAuth2 authentication, managing rate limiting (429), handling expired tokens (401), and resolving permission issues (403). Ideal for developers and project managers building automated workflows for construction project management, RFIs, or submittals.

This skill provides a comprehensive workflow for managing Requests for Information (RFIs) within the Procore platform. It enables users to programmatically create, assign, update responses, track status changes, and officially close RFIs using the Procore API. Ideal for automating critical steps in construction project management.

This skill provides implementation patterns for integrating with the Procore platform using its REST API. It is designed for cost tuning functionalities, which are essential for comprehensive project management, handling Requests for Information (RFIs), and managing submittals within complex construction environments. It covers OAuth2 authentication flow and provides practical API call examples.

A comprehensive guide and implementation pattern for integrating with the Procore platform using its REST API. This skill supports advanced project management workflows in construction, enabling users to automate tasks such as managing Requests for Information (RFIs), handling submittals, and interacting with company data via OAuth2 authentication. Use this when developing custom tools or scripts that require deep access to Procore project data.

Provides deep dive patterns for integrating with the Procore REST API. This skill guides users on using OAuth2 authentication to perform complex project management tasks, such as migrating construction data, retrieving company information, or managing RFIs and submittals within the construction workflow.

This skill provides implementation patterns for achieving observability within Procore, a comprehensive construction management platform, using its REST API. It is designed for automating critical project management tasks, such as retrieving company data, managing Requests for Information (RFIs), or handling submittals, requiring secure OAuth2 authentication for integration.

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.

Provides robust implementation patterns for integrating with the Procore construction management platform via its REST API. This guide covers essential steps for utilizing OAuth2 authentication, enabling automated workflows for various construction processes, including project management, handling RFIs, and managing document submittals.

This skill provides implementation patterns for integrating with the Procore platform using webhooks and the REST API. It is designed for automating core construction management workflows, such as handling project progress, managing RFIs (Requests for Information), and processing submittals. It covers API authentication (OAuth2) and robust error handling for enterprise-level project automation.

This skill helps plan engaging, structured puzzle-based activities for various settings like classrooms, parties, and corporate team-building events. Users provide the event description, target audience, and overall goal, and the planner generates a comprehensive activity schedule. It includes a minute-by-minute timeline, necessary materials checklist, and generates pre-configured generator links for diverse puzzles (Word Search, Crossword, Sudoku, etc.), ensuring content is theme-appropriate and ready for one-click use.

This guide provides comprehensive guidance on scaling Qdrant, a vector database. It helps users diagnose performance bottlenecks and determine the optimal horizontal or vertical scaling strategy. Strategies are categorized based on specific needs: increasing data volume, improving query throughput (QPS), minimizing query latency, or managing high query result volumes.

This mechanism is designed to optimize Qdrant's performance when handling queries with very large limits or when paginating results across multiple shards. Instead of forcing every shard to transfer the full requested limit (which is bandwidth-intensive), it uses Poisson distribution statistics to calculate smaller, optimized limits for each shard. This significantly reduces inter-shard data transfer and improves the efficiency of large-scale vector search, while maintaining a very high degree of accuracy.