Skill UI

This comprehensive guide details how to set up OAuth 2.0 client credentials for the Navan REST API. It provides complete, runnable code examples in both TypeScript (Node.js) and Python. Users can follow these steps to exchange client secrets for a secure bearer token, enabling programmatic access to Navan's booking and travel data. This is essential for configuring new Navan integrations or rotating API credentials.

This skill provides a comprehensive framework for setting up robust observability for Navan API integrations in production environments. It guides users through implementing structured logging, tracking request latency, classifying various errors (auth, rate limit, server), and monitoring the OAuth token refresh lifecycle. Includes practical steps and YAML examples for configuring alerts and building dashboards in platforms like Datadog, CloudWatch, or Prometheus/Grafana.

A comprehensive guide detailing five validated architecture patterns for utilizing Notion as a powerful backend database. Use cases include: Headless CMS for blogging, task tracking for project management, building knowledge bases (wikis), handling form submissions, and serving as a data pipeline source. Includes schema design and code examples using TypeScript and Python.

This guide provides three fundamental examples for integrating with the Notion API. It demonstrates how to search for existing pages, create new content within a database, and retrieve the newly created page's metadata. Ideal for developers starting a new Notion integration or implementing basic automated workflows.

This skill provides a comprehensive guide and code examples for creating a complete OneNote structure (Notebook, Section, and Page) using the Microsoft Graph API. It specifically addresses the critical technical requirement that OneNote content must follow strict XHTML standards, detailing common HTML pitfalls (such as unclosed tags, unsupported attributes, and merge cell usage) that can lead to silent content corruption during API calls.

This comprehensive guide helps users diagnose and resolve common Oracle Cloud Infrastructure (OCI) API errors. It covers critical issues like authentication failures (401), authorization errors (404), SSL certificate problems, and rate limiting (429). The resource provides runnable Python and Bash scripts to pinpoint the exact root cause and implement the necessary fixes, significantly streamlining cloud debugging processes.

This skill provides a comprehensive guide and code examples for designing robust and scalable Identity and Access Management (IAM) structures within Oracle Cloud Infrastructure (OCI). It covers establishing secure compartment hierarchies, understanding complex policy inheritance rules, implementing least-privilege access controls, and utilizing dynamic groups for service authentication, ensuring best practices for enterprise cloud governance.

A specialized AI agent designed to build and audit business models using Alexander Osterwalder’s comprehensive 9-block framework. It moves beyond mere filling of blocks, focusing on establishing the critical logical 'lock' between core components like Value Propositions, Customer Segments, and Cost Structures. This tool is ideal for initial business architecture design, auditing existing models for internal consistency (e.g., ensuring every key activity has a corresponding cost), or re-validating the core logic during a strategic pivot.

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.

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.

This comprehensive tool assesses the legal patentability of an invention by checking its novelty and non-obviousness against global prior art. It simulates professional patent examiner procedures, conducting detailed anticipation (novelty) and inventive step (non-obviousness) analyses using structured single-reference and combination tests. The output provides multi-jurisdictional assessments (US, CN, EP) and recommended claim amendments.

Simulates a multi-round patent examination process by adopting the persona of a senior patent examiner. The tool comprehensively analyzes drafted claims, specifications, and prior art to assess patentability against global standards (US/CN/EP). It generates detailed office actions covering novelty, non-obviousness, clarity, and enablement, guiding the user through iterative refinement to optimize the patent application.