Skill UI

This skill addresses the challenge of handling temporary CDN links for videos generated by Kling AI. It provides a comprehensive, multi-cloud solution to download the video asset and persistently upload it to major cloud storage platforms, including AWS S3, Google Cloud Storage (GCS), and Azure Blob Storage. It facilitates building robust, long-term media pipelines and ensures metadata preservation.

Automates AWS Lambda layer setup by providing step-by-step guidance, validating against best practices, and generating production-ready code and deployment configurations for compute, storage, and networking scenarios.

A minimal example demonstrating how to implement basic tracing using the Langfuse SDK. It illustrates the hierarchy of traces, spans, and generations (LLM calls), providing code examples in TypeScript and Python for easy setup and integration testing.

This guide details how to establish comprehensive observability for LLM operations using Langfuse. It covers setting up Prometheus metrics (tracking traces, generation duration, and token usage) and visualizing them in Grafana dashboards. Ideal for monitoring application health, optimizing costs, and tracking performance over time.

Automates the setup and best practices for linear issue generation within enterprise workflows, offering guidance, production-ready code, and validation for governance, compliance, and integration tasks.

This guide provides a comprehensive walkthrough for integrating Lokalise into any project. It covers installing the Node.js SDK (@lokalise/node-api) and the local command-line interface (lokalise2). Crucially, it details the process of generating, setting, and verifying API tokens or OAuth credentials, ensuring secure and functional communication with the Lokalise platform. Use this when setting up a new localization integration or refreshing existing credentials.

This guide provides a comprehensive local development environment setup for Internationalization (i18n) using Lokalise. It details configuring the project structure, implementing CLI scripts for synchronizing source strings (push) and translations (pull), setting up file watching for hot reloading, and generating mock translations for robust offline testing. Ideal for developers managing multi-language applications.

This comprehensive guide provides step-by-step instructions and complete code examples for setting up and configuring the MaintainX REST API. It covers best practices for generating API keys, setting up secure environment variables, and implementing robust client wrappers in both TypeScript and Python. Use this skill when integrating CMMS data (such as work orders, assets, and locations) into external applications.

Automates the setup of memory profilers for performance testing workflows, guiding users through best practices, code/configuration generation, and validation against industry standards whenever memory profiler setup is mentioned.

A comprehensive toolset for planning, validating, and executing complex system, database, and infrastructure migrations with zero downtime. It covers critical phases like schema evolution (Expand-Contract), API compatibility checks, risk assessment, and generating automated rollback runbooks. Essential for high-risk transitions where business continuity is paramount.

Automates mixed precision ML training workflows by surfacing best practices, generating runnable code/configurations, and validating setups across data prep, model tuning, and experiment tracking.

Automates guidance for configuring mlflow experiment tracking, covering best practices, code generation, and validation to support ML training workflows.