Skill UI

This guide provides production-ready patterns for integrating with the Palantir Foundry Platform SDK. It covers essential best practices like implementing thread-safe singletons, structured error handling, automatic pagination for large data sets, and robust retry mechanisms with exponential backoff. Ideal for refactoring existing Foundry integrations or establishing team coding standards.

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 comprehensive guide details the process of implementing a secure and robust system for handling Palantir Foundry webhook events. It covers key steps including API-based webhook registration, mandatory signature verification with replay protection, sophisticated event routing for various object lifecycles (create, update, delete), and ensuring idempotent processing using caching mechanisms like Redis. Use this when external microservices must react reliably and immediately to changes within the Foundry Ontology or data assets.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

Build and evolve React/Next.js agentic web apps that pair CopilotKit with Microsoft Agent Framework agents hosted in Microsoft Foundry over the AG-UI protocol. Covers wiring choices, native Foundry primitives, tools, human-in-the-loop approvals, generative UI and shared state, local run, azd deployment, and event-stream debugging.

Build persistent AI agents on Azure AI Foundry with the Microsoft Agent Framework Python SDK. Covers authentication, function and hosted tools, streaming responses, conversation threads, and structured outputs.

Build container-based hosted agents with Azure AI Projects SDK (HostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.

High-level .NET SDK for Azure AI Foundry projects. Manage agents, connections, datasets, deployments, evaluations, and indexes in C# applications.

Azure AI Projects SDK for Java provides high-level APIs for managing Azure AI Foundry projects, including connections, datasets, indexes, and evaluations. It simplifies integration with Azure AI services through a fluent Java client builder.

Build AI applications on Microsoft Foundry with the azure-ai-projects Python SDK: create and version agents, add tools like code interpreter and file search, manage threads and runs, connections, deployments, datasets, indexes, and run evaluations.

High-level TypeScript SDK for Azure AI Foundry projects, enabling management of agents, connections, deployments, datasets, indexes, and evaluations with integrated OpenAI client support.