Skill UI

The official JavaScript/TypeScript SDK for performing data plane operations on Azure Cosmos DB NoSQL API. This SDK provides comprehensive tools for managing data, including full CRUD (Create, Read, Update, Delete) operations on documents, executing complex parameterized and cross-partition queries, and handling bulk operations. It is essential for building data-intensive applications that require high-performance data interaction with Cosmos DB.

This SDK provides a comprehensive client for building advanced search applications using Azure AI Search with TypeScript. It supports cutting-edge retrieval methods including Vector Search, Hybrid Search (combining keywords and vectors), and Semantic Search. Ideal for developers building e-commerce, documentation, or knowledge retrieval systems requiring deep search capabilities.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Provides best practices for managing the entire document lifecycle within Documenso integrations. Covers secure PII handling, implementing automated data retention policies (e.g., deleting old drafts and archiving completed documents), and fulfilling GDPR data subject access and erasure requests. Essential for maintaining compliance and secure document storage.

Provides advanced patterns to significantly boost the performance and scalability of Documenso integrations. Key techniques covered include using templates to drastically reduce API round-trips, implementing metadata caching (e.g., using Redis) to minimize database lookups, and utilizing batch processing with concurrency control (p-queue) or asynchronous job queues (Bull) for handling large volumes of documents efficiently.

Frontend Patterns documents modern React and Next.js UI best practices, covering component composition, compound components, render-props, reusable hooks, and context-reducer state management to build performant interfaces.

This tool generates comprehensive API contracts and OpenAPI specifications (3.0/3.1) from existing codebases, design documents, or schemas. It establishes a single source of truth for APIs by producing machine-readable contracts, supporting documentation, robust testing (including consumer-driven testing via Pact), and code generation. Use it when you need to define, verify, and document complex service interfaces.

Documents advanced Git workflows—worktrees, bisect, interactive rebase, hooks, recovery tactics, aliases, and anti-patterns—so developers can manage parallel branches, pinpoint regressions, and enforce commit hygiene in complex repos.

Automates Google Docs workflows through the Rube MCP googledocs toolkit, letting you connect, then create, search, edit, replace, export, copy and update documents programmatically for integration tasks.

This guide documents common mistakes, gotchas, and anti-patterns encountered during Kling AI API integration. It covers critical best practices regarding data types, token management, polling, URL persistence, and prompt engineering to ensure stable and reliable AI video generation workflows. Essential reading for robust development and troubleshooting.

Documents setting up OpenTelemetry tracing/metrics, Prometheus/Grafana monitoring, structured logging, and alerting rules so teams can instrument services, track performance, and respond to incidents.

This guide provides a comprehensive overview of PDF manipulation techniques using both Python libraries (like pypdf, pdfplumber, reportlab) and command-line tools (like pdftotext, qpdf). It covers core functionalities such as merging, splitting, rotating, extracting text and structured tables, creating new PDFs, and performing OCR on scanned documents, making it essential for automation workflows.