Skill UI

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.

Automates Django view generation by guiding through best practices, producing production-ready code, and validating backend-focused outputs whenever users mention related keywords or request assistance.

Provides minimal working examples and comprehensive instructions for querying the Fireflies.ai GraphQL API. Users can learn how to list workspace users, fetch recent meeting transcripts, and retrieve detailed summaries, including action items and keywords, using code examples in TypeScript, Python, and Bash. Ideal for initial API setup, integration testing, or learning GraphQL patterns for meeting data.

Fuzzing Dictionary supplies domain-specific tokens to guide fuzzers when targeting parsers, protocols, configs, or file formats so they reach deeper logic; include magic bytes, headers, keywords, and combine generation from LLMs, headers, or binaries before passing via the fuzzer flag.

Automates Claude Code plugin audits whenever audit or security keywords appear, checking for vulnerabilities, compliance with CLAUDE.md standards, marketplace/MCP requirements, best practices, documentation, and repository hygiene before emitting a structured report.

This skill provides complete, programmatic integration with the protocols.io API v3, enabling advanced management of scientific protocols. Use it for the entire protocol lifecycle, including discovery by DOI or keywords, creating new protocols, managing steps and materials, coordinating collaborative development, organizing workspaces, and tracking experiments. It covers authentication, file handling, and discussion management, making it ideal for automated lab workflows and scientific documentation systems.

Transforms vague UI ideas into structured, Stitch-optimized prompts by adding platform context, UI/UX keywords, design system cues, and detailed page structure guidance so generated interfaces stay consistent and polished.

Vexor CLI is a powerful tool for developers needing to locate code, functions, or documentation sections within large repositories based on *intent* rather than exact keywords or file paths. It provides semantic discovery, making it invaluable when manual searching or simple text matching fails, helping developers understand the implementation logic across complex codebases.

A comprehensive tool for discovering, vetting, and evaluating Laravel packages. Users can search for packages based on keywords, filter by health score (e.g., Healthy, Unhealthy), and verify compatibility across different Laravel and PHP versions. It helps developers choose actively maintained, robust packages, ensuring project stability and reducing technical debt.

This comprehensive guide demonstrates how to programmatically interact with Apple Notes on macOS. It covers essential functions like creating new notes, listing all notes, reading specific content, searching by keywords, organizing notes into folders, and deleting entries. It primarily utilizes JXA (JavaScript for Automation) and AppleScript via the command line (osascript). Ideal for developers learning native macOS automation or integrating Notes management into larger workflows.

This tool searches a comprehensive database of over 2500 curated open-source repositories for tools related to Large Language Models (LLMs), ChatGPT, RAG, agents, and NLP. It interprets natural language queries, converts non-English inputs to core English keywords, and systematically filters results across multiple specialized categories (e.g., LangChain, Chatbots, CLIs). Use it whenever the user needs to find specific AI development libraries or open-source AI tooling.