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AI resources

  • just-bash executor

    An experimental tool-invocation companion for 'just-bash' that allows JavaScript code in the 'js-exec' environment to call various automated tools as bash commands.
    Skillvercel-labs/just-bash

  • MSAGL-JS Skill

    Use MSAGL-JS to lay out and visualize networks in JavaScript or TypeScript, including graph layout and exporting various document formats.
    Skillmicrosoft/msagljs

  • HasData Web Scraping

    Fetch any public web page through managed proxies, with optional JavaScript rendering and extraction rules. Returns clean markdown, plain text, raw HTML, or structured JSON without needing to host or use a browser.
    MCP serverGitHub MCP Registry

  • MPS BaseLanguage Authoring Skill

    Enables authoring and editing of MPS JetBrains baseLanguage Java nodes, using either a Java parser or JSON AST blueprints to manage syntax and semantics in models.
    SkillJetBrains/MPS

  • Liquid Language Server Plugin

    Integration for real-time code intelligence for Shopify Liquid templates using the Shopify CLI theme language server.
    PluginShopify/liquid-skills

  • HTML Class Name Interpreter

    Maps rendered or pasted HTML class names back to their source code, useful for inspecting Playwright DOM output, debugging styles in the browser, or reverse-engineering pasted HTML.
    Skillgithub/replica

  • Ban AST

    Ban code patterns using Tree Sitter AST queries. This tool rejects edits that introduce banned patterns unless justified with a comment.
    Pluginmicrosoft/vscode-team-kit

  • Web-Based Game Engine Skill

    Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. This resource provides starter templates, reference documentation, and workflows for developing 2D and 3D games.
    Skillgithub/awesome-copilot

  • LinkedIn Post Formatter

    Formats and drafts compelling LinkedIn posts using Unicode styling and engagement-optimized structures.
    Skillgithub/awesome-copilot

  • langchain-rag

    Builds retrieval-augmented generation (RAG) systems by implementing document loaders, text splitters, embeddings, and vector stores to enhance LLM responses with relevant context.
    Skilllangchain-ai/langchain-skills