Skill UI

This skill provides comprehensive interaction with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe data migration patterns, and implementing multi-tenant isolation. Use this for developing scalable, distributed, or highly secure database applications.

Comprehensive skill guide for interacting with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. Provides tools and best practices for schema management, executing transactions (DDL/DML), handling migrations, and implementing multi-tenant isolation patterns. Includes CLI scripts and MCP tools for database operations and setup.

This skill provides comprehensive tools and documentation for interacting with Amazon Aurora DSQL, a serverless, distributed SQL database. It covers schema management, complex query execution, safe data migrations, multi-tenant architecture patterns, and IAM-based authentication, making it ideal for developing scalable, distributed database applications.

Implement comprehensive observability for Canva Connect API integrations using industry best practices. This guide covers gathering critical metrics (latency, error rates, rate limits) with Prometheus, implementing distributed tracing with OpenTelemetry, and setting up robust alert rules. Essential for monitoring API health, optimizing performance, and ensuring system reliability in SaaS environments.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.

A comprehensive skill for managing and interacting with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe data migration patterns, multi-tenant isolation, and secure IAM-based authentication. Utilize MCP tools and CLI scripts for full lifecycle database control.

This skill guide provides comprehensive tools and best practices for interacting with Amazon Aurora DSQL. It covers direct query execution, robust schema management, safe data migrations, and implementing multi-tenant isolation patterns in a distributed SQL environment. Use it when developing scalable or distributed database applications.

This guide demonstrates how to deploy a minimal "Hello World" application to the Fly.io platform. It covers two primary deployment methods: using the simple `flyctl` Command Line Interface (CLI) for quick setup, and utilizing the advanced Machines API for programmatic deployment. This skill is ideal for beginners starting a new Fly.io project, or for implementing robust, globally distributed edge compute infrastructure.

A comprehensive guide and implementation pattern for querying, searching, and paginating OneNote content using the Microsoft Graph API. This skill addresses the limitations of the standard OneNote search endpoint, providing robust methods for cross-notebook querying, advanced OData filtering on metadata, and client-side full-text indexing for body content. Ideal for building complex knowledge retrieval systems that handle large, distributed result sets.

qzcli is a powerful command-line interface (CLI) tool designed for managing complex GPU compute jobs on the Qizhi platform. Modeled after industry standards like kubectl, it allows users to log in, discover available resources (nodes, workspaces), submit interactive or highly complex batch jobs (including matrix sweeps), and monitor job status efficiently. It is essential for handling high-performance computing (HPC) and distributed machine learning training workflows.

Implement a comprehensive observability stack for Webflow Data API v2 integrations. This skill provides structured code using Prometheus metrics, OpenTelemetry distributed tracing, and structured logging (pino) to monitor API call frequency, latency, error rates, and rate limit usage. Ideal for developers building robust, production-grade Webflow-connected SaaS applications that require deep performance insights and reliable alerting.