Skill UI

This skill provides comprehensive methods for managing the entire data lifecycle of LLM observability platforms like Langfuse. Functions include exporting detailed traces and scores, configuring retention policies (e.g., automatic data cleanup), handling GDPR subject requests (access and erasure), and anonymizing Personally Identifiable Information (PII) for secure analytics. Essential for maintaining regulatory compliance in AI applications.

This guide provides a comprehensive walkthrough for authenticating and initializing the Grammarly SDK/CLI. Learn how to use OAuth 2.0 Bearer tokens to securely connect to Grammarly's services (including Writing Score, AI Detection, and Plagiarism Detection). Use this skill when setting up a new integration, handling API key configuration, or managing token refreshing in a development project.

This guide provides a deep dive into migrating from the deprecated Grammarly Text Editor SDK to the current, server-side REST APIs. It details the architectural shift from client-side embedding to modern API calls, covering how to implement Writing Score (v2), AI Detection (v1), and Plagiarism Detection (v1) using secure token authentication.

This skill performs a comprehensive audit of project dependencies, identifying critical security vulnerabilities (CVEs), analyzing license compliance against established policies, and detecting outdated or risky packages. It produces an actionable report including an overall dependency health score and a prioritized, time-bound remediation plan, ensuring the software supply chain is secure and legally compliant.