Skill UI

A secure two-way synchronization tool that bridges a local ARIS audit/editing directory with a remote Overleaf project via the Overleaf Git bridge. This allows users to perform intensive, local-only audits and processing while maintaining the ability for collaborators to edit the paper directly in the Overleaf web UI. It handles complex pull/push logic, ensuring changes are synced correctly while preserving the integrity of local audit results.

This framework implements the OWASP Top 10 standards, specifically tailored for Agentic Applications. It provides a standardized methodology to classify and map diverse security findings—such as prompt injection, tool misuse, and privilege abuse—to ten core risk categories (ASI01-ASI10). It is essential for security teams to systematically assess, prioritize, and remediate vulnerabilities inherent in complex AI agent systems.

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 comprehensive guide provides quick, actionable solutions for the top common Palantir Foundry API and data transformation errors. It covers critical issues such as 401 Unauthorized, 403 Forbidden, ObjectTypeNotFound, and OutOfMemoryError. By offering specific code examples and best practices, this resource helps users efficiently debug and resolve complex issues in their Foundry pipelines.

This guide provides comprehensive technical instructions for optimizing Palantir Foundry costs. Learn to use incremental transforms to drastically reduce compute rebuilds, right-size Spark profiles based on data volume, and migrate from expensive API polling to efficient, event-driven webhooks, ensuring both cost efficiency and system stability.

Implement robust data governance and security measures within Palantir Foundry. This skill guides users through PII redaction, applying data markings (e.g., CONFIDENTIAL, RESTRICTED), ensuring GDPR/CCPA compliance, and establishing automated data retention policies. It provides methods for column-level security and auditable deletion workflows for sensitive information.

This comprehensive bundle collects all necessary diagnostic artifacts for troubleshooting Palantir Foundry issues. It gathers SDK versions, environment variables (with secrets automatically redacted), API connectivity status, and recent application error logs. This structured output is essential for creating detailed, actionable support tickets when reporting persistent platform malfunctions.

This guide teaches best practices for configuring robust, enterprise-grade Role-Based Access Control (RBAC) within Palantir Foundry. Learn how to define project roles (Viewer, Editor, Owner), manage organization-level groups to enforce least privilege, establish secure service user accounts for external integrations, and utilize marking-based data classification to ensure data governance and security across large datasets.

A comprehensive, step-by-step guide demonstrating how to interact with Palantir Foundry using the official Python SDK. This example covers listing ontologies, querying object types, retrieving single records by primary key, reading datasets, and applying business actions, making it ideal for developers starting a new Foundry integration or learning core API patterns.

A comprehensive guide for rapid incident response for Palantir Foundry systems. This runbook provides structured steps for triage, severity classification (P1-P4), and detailed playbooks for common issues like authentication failures, rate limiting, and build pipeline errors. It guides users through investigation, mitigation, and postmortem documentation to minimize downtime and ensure quick recovery.

This skill guides the setup of comprehensive observability for Palantir Foundry integrations. It covers structured logging, Prometheus metrics (latency, errors), health checks, and Prometheus alert rules, enabling robust monitoring of API integration health, performance, and reliability. Use this when implementing production-grade monitoring for Foundry APIs.

A comprehensive checklist for deploying Foundry-integrated applications to a production environment. It guides users through critical go-live procedures, covering pre-deployment credential management, rigorous code quality checks, setting up robust monitoring and alerting systems, and executing safe rollout and rollback strategies. Essential for ensuring system stability during major releases.