Skill UI

This guide provides implementation patterns for secure integration with the Podium API using REST API calls. It focuses on establishing robust connections with OAuth2 authentication for managing core business functions, including messaging, retrieving customer reviews, and processing payments. It also details essential error handling strategies.

This skill provides comprehensive integration patterns for the Procore construction management platform using its robust REST API and OAuth2 authentication. It is designed for automating critical construction workflows, such as managing project data, processing Requests for Information (RFIs), handling submittals, and interacting with core project management services programmatically.

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 automates the critical submittal workflow within the Procore construction management platform. Users can programmatically create new submittals, defining necessary specifications, assigning reviewers, and setting due dates. It further supports updating the submittal status (e.g., approving or rejecting) and listing filtered results, ensuring systematic tracking and smooth management of the entire project review cycle.

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.

This guide details how to establish secure API access to the Procore construction management platform. It utilizes the OAuth2 client credentials flow, allowing developers to obtain necessary access tokens using client IDs and secrets. This setup is crucial for integrating custom applications to manage projects, retrieve RFIs, or handle submittals programmatically.

A comprehensive guide for optimizing API calls and performance tuning within the Procore construction management platform. Learn implementation patterns using OAuth2 and the REST API to efficiently handle critical project management tasks, such as RFIs, submittals, and general project data retrieval.

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 performs rigorous mathematical proof verification using an adversarial, cross-model review process. It reads a LaTeX proof, systematically identifies logical gaps (e.g., unjustified assertions, quantifier errors) and theoretical flaws (e.g., illegal interchanges, non-uniform convergence). It then iteratively fixes these gaps with full derivations, re-reviews, and generates a comprehensive audit report, ensuring mathematical rigor and completeness. Use this when seeking deep, academic verification of a theory paper.

A comprehensive guide for diagnosing and reducing high memory consumption in Qdrant. This resource is crucial when dealing with reports of 'memory leak', 'out of memory', or excessive RAM growth. It details how Qdrant manages resident memory and OS page cache, and provides advanced techniques such as quantization, using float16/int8 data types, and strategically storing components on disk (like HNSW indexes or sparse vectors) to minimize the memory footprint and ensure stable, scalable operation.