Skill UI

This guide provides production-grade patterns for using the Oracle Cloud Infrastructure (OCI) Python SDK. It addresses critical issues such as preventing Instance Principal memory leaks by implementing a thread-safe singleton client pattern, configuring explicit connection and read timeouts, and implementing robust exponential backoff retry strategies for transient errors (429, 5xx). Essential for building reliable, long-running OCI services.

This comprehensive guide provides step-by-step instructions for installing and configuring the Palantir Foundry SDK. It covers both the Platform SDK for direct REST API data access and the OSDK for Ontology-based workflows. Users will learn how to set up authentication using OAuth2 client credentials or Bearer tokens, ensuring secure and seamless integration into their development environment for both production and development use cases.

A structured guide for setting up a robust local development environment for Palantir Foundry data pipelines. This workflow enables users to run Python transforms and unit tests using PySpark against sample data, and mock the Foundry API client, ensuring fast, isolated iteration cycles before deploying code to the official Foundry environment. Ideal for data engineers and developers building complex ETL logic.

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.

A comprehensive TypeScript client wrapper for interacting with the Persona API. It simplifies identity verification workflows by providing methods for creating, retrieving, and paginating inquiries and verifications. Key features include implementing the Singleton design pattern, guaranteeing type-safe responses, and an advanced error classifier that intelligently handles retry logic (e.g., distinguishing between rate limits and invalid keys). Ideal for integrating reliable, production-grade KYC flows into applications.

This guide demonstrates how to set up a secure and robust webhook endpoint to process identity verification events from Persona. It covers essential security practices, including HMAC signature verification using TypeScript and Express, handling critical KYC lifecycle events (like inquiry approval/declination), and implementing idempotent processing to prevent data duplication. Ideal for integrating third-party identity services into a web application.

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.

Provides foundational knowledge and implementation patterns for connecting to the Procore API. This skill details how to securely implement OAuth2 authentication (using the Client Credentials flow) to manage data in critical construction processes, including project tracking, RFIs, and document submittals.

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.

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.

A powerful, kubectl/docker-style CLI tool designed to manage and submit distributed computing jobs on the Qizhi (启智) platform. Use it for tasks like logging in, checking resource availability, discovering workspaces, and submitting complex GPU, CPU, or batch jobs efficiently.

This guide provides a comprehensive, step-by-step tutorial for setting up OAuth2 client credentials authentication for the Ramp API. It covers obtaining necessary API credentials, configuring the environment for both sandbox and production, and utilizing Python code to successfully acquire an access token and verify connectivity. This is essential for developers needing to integrate financial data, manage corporate cards, or synchronize expense records using Ramp's services.