Skill UI

Comprehensive guide for setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Palantir Foundry integrations using GitHub Actions. This workflow covers running PySpark unit tests, performing SDK integration tests with mocked APIs, and implementing custom linting rules to enforce Foundry-specific best practices. Use this when ensuring code quality and validating complex business logic changes in an automated build process.

This guide provides a comprehensive workflow for building robust ETL data pipelines within Palantir Foundry. It teaches how to utilize Python transforms, including the @transform_df decorator, for dataset-to-dataset processing. Key topics covered include multi-input joins, implementing incremental updates for efficiency, low-level file I/O, and configuring Spark resources for heavy computations. Essential for data engineers working with complex data modeling in Foundry.

This workflow provides comprehensive SDK access to the Palantir Foundry Ontology. It enables users to query, filter, link, and mutate Ontology objects, and execute defined business actions. Use this skill for building sophisticated, data-driven applications that require deep interaction with structured enterprise data, including cross-object navigation and advanced server-side aggregation.

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 provides comprehensive solutions for common API errors encountered when integrating with Persona for identity verification (KYC). It covers critical issues including 401 unauthorized keys, 422 invalid templates, webhook signature mismatches, rate limit handling (429), and state management conflicts. Use this resource when debugging or optimizing automated identity validation workflows.

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 manages comprehensive identity verification using the Persona API. It covers government ID checks (passport, driver's license), selfie liveness detection, and database lookups (SSN, watchlist). Use this when implementing Know Your Customer (KYC) workflows, reviewing detailed verification results, or building custom approval logic based on multi-source identity data.

This guide details how to optimize the operational costs associated with Persona's identity verification services. It covers best practices like selecting appropriate verification templates, implementing robust caching mechanisms, and structuring API calls to prevent duplicate inquiries, ensuring efficient and cost-effective KYC workflows.

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 a comprehensive walkthrough of the identity verification lifecycle using the Persona REST API. It covers the full process: creating a new inquiry, generating hosted or embedded verification URLs, polling the inquiry status until completion, and finally retrieving detailed KYC results. This is essential for developers building secure, automated user onboarding, and identity verification flows.

This guide provides a comprehensive workflow for developing and testing with Persona's identity verification services in a controlled sandbox environment. It details setting up local environment variables, tunneling webhooks using ngrok, creating test inquiries via API, and mocking API responses for robust unit and integration testing.

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.