Skill UI

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.

This guide outlines comprehensive security best practices for integrating with Palantir Foundry. It covers secure credential storage (using secrets managers like AWS Secrets Manager or Vault), implementing the Principle of Least Privilege via OAuth2 scopes, and establishing robust credential rotation procedures. Use this when securing production environments, setting up new data pipelines, or auditing existing API access controls.

A comprehensive, step-by-step guide for safely upgrading the Palantir Foundry SDK. This skill covers version dependency checks, reviewing breaking changes via API changelogs, running integrated unit and integration tests, and implementing robust rollback procedures, ensuring smooth platform migration.

This guide provides a complete, end-to-end workflow for implementing Know Your Customer (KYC) identity verification using the Persona API. It details both backend implementation (creating inquiries, handling completion callbacks, resuming flows) and frontend integration (embedding the verification UI into web applications). Ideal for secure user onboarding and identity validation processes.

This skill is designed to collect comprehensive diagnostic information regarding Persona identity verification processes. It retrieves inquiry IDs, current status, API responses, and webhook delivery logs. It is essential for troubleshooting issues related to KYC and identity verification workflows, ensuring smooth API connectivity and data flow.

This guide provides detailed, step-by-step instructions on how to set up and authenticate with the Persona API. It covers obtaining sandbox and production API keys, configuring necessary environment variables, and includes runnable code examples for both Node.js and Python to verify a successful connection. This is essential for developers integrating identity verification or Know Your Customer (KYC) features into their application.

This guide details best practices for securing Persona identity verification implementations. It covers critical security measures such as API key rotation, webhook HMAC verification, encrypting Personally Identifiable Information (PII) at rest, and maintaining comprehensive audit logs. Use this when integrating Persona into a production system requiring high data security and compliance.

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 demonstrates how to implement a robust webhook handler for the Podium platform. Developers can process real-time business events—including incoming customer messages, new reviews, and completed payments—by setting up event routing and ensuring idempotent processing. Essential for integrating critical communication and transaction data into a backend system.

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 facilitates an interactive Quality Assurance (QA) session. Users can conversationally describe encountered bugs or issues. The agent clarifies the problem, explores the codebase for context and domain language, and then meticulously files durable GitHub issues. It supports both single-issue reports and breaking down complex problems into multiple, independently verifiable tickets, ensuring developers receive actionable, high-quality reports written from the user's perspective.

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.