Skill UI

A comprehensive tool for interacting with Notion via its API. It allows users to perform workspace-wide searches, run complex queries against structured databases using compound filters (AND/OR), retrieve specific pages, and deeply traverse and extract all nested block content. Supports pagination for handling large datasets, enabling full data visibility and structured data extraction.

A comprehensive guide and implementation pattern for querying, searching, and paginating OneNote content using the Microsoft Graph API. This skill addresses the limitations of the standard OneNote search endpoint, providing robust methods for cross-notebook querying, advanced OData filtering on metadata, and client-side full-text indexing for body content. Ideal for building complex knowledge retrieval systems that handle large, distributed result sets.

A comprehensive guide for optimizing OneNote Graph API interactions at scale. It addresses common performance bottlenecks such as slow data retrieval from large notebooks, handling excessive image sizes, implementing efficient payload selection ($select), and paginating massive data sets using $top. Essential for building stable, high-performance automation workflows.

This skill provides comprehensive techniques for building highly resilient clients when interacting with Oracle Cloud Infrastructure (OCI) APIs. It addresses the common 429 TooManyRequests throttling errors by implementing custom exponential backoff with jitter, utilizing the SDK's advanced retry configuration, and integrating circuit breaker patterns for large-scale, high-volume operations. Use this guide when automating bulk OCI tasks to ensure reliable data retrieval and prevent API failure due to rate limits.

This guide provides advanced techniques for optimizing performance within Palantir Foundry. It covers efficient pagination, implementing client-side caching, using batch object retrieval (solving the N+1 problem), and tuning Spark transforms with memory configuration and incremental updates. Use this when experiencing slow API responses or inefficient data pipeline builds in Foundry.

Optimizes the performance of the Persona API for identity verification workflows. This guide demonstrates best practices such as implementing batch inquiry creation, caching verification results, and managing parallel polling to ensure efficient and reliable data retrieval when dealing with large volumes of identity data.

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 comprehensive guide provides advanced strategies for optimizing and scaling Qdrant vector database throughput (QPS). It covers performance tuning techniques, such as optimizing segment size, enabling quantization, and using batch search. Furthermore, it details horizontal scaling methods using read replicas and addressing disk I/O bottlenecks, ensuring high performance for large-scale, high-concurrency retrieval applications.

This skill provides the comprehensive API integration pattern for managing corporate cards and expenses using the Ramp Developer API with OAuth2 authentication. It is designed for developers building workflows that require synchronization, management, or retrieval of company financial data, such as tracking card usage or reconciling corporate expenses.

This workflow provides comprehensive methods for executing core Create, Read, Update, and Delete (CRUD) operations on standard Salesforce objects, including Accounts, Contacts, Leads, and Opportunities. It utilizes both powerful SOQL querying for data retrieval and the robust REST API for bulk modifications and advanced integrations, making it ideal for automating complex CRM and sales processes.

This guide identifies the most common and costly anti-patterns encountered when developing or integrating with Salesforce. It covers critical topics such as SOQL N+1 queries, proper API limit management, preventing SOQL injection, and optimizing data retrieval. Use this resource when reviewing existing Salesforce code, onboarding new developers, or auditing integrations to ensure best performance and scalability.

Provides comprehensive strategies for minimizing API credit consumption when using SerpApi. Techniques include implementing aggressive caching with Redis, utilizing the free Archive API for historical data retrieval, and selecting the appropriate engine (like Google Light API) to balance cost and speed. Includes cost calculation models and usage monitoring scripts.