What problem does it solve? Integrating with Okta's core platform requires navigating two authentication schemes, cursor-based pagination, rate limits, and a Python SDK with breaking v3 changes and confusingly named PyPI packages. This Skill consolidates the correct patterns so you avoid common integration mistakes. ## Core Features & Use Cases - Authentication guidance: Choose between SSWS API tokens and OAuth 2.0 Private Key JWT with narrowly scoped okta.* permissions for service-to-service apps. - API patterns: Apply the correct base URL structure, Link-header cursor pagination, System Log polling with persisted cursors, and rate-limit backoff using X-Rate-Limit-Remaining. - Python SDK reference: Use the official okta PyPI package (v3.x, Pydantic models, (data, response, error) tuples) while avoiding the inactive okta-sdk-python fork and known coverage gaps like Identity Governance endpoints. - Use Case: You are building a service that syncs Okta users and polls the System Log for security events. Use this Skill to configure Private Key JWT auth with okta.users.read and okta.logs.read scopes, then implement crash-safe log polling that follows Link headers. ## Quick Start Ask the AI to show how to authenticate to the Okta Management API with OAuth 2.0 Private Key JWT and poll the System Log using the official okta Python SDK.