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Results for bucket language:JavaScript language:JavaScript language:HTML language:Python language:TypeScript

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AI resources

  • Best practices for writing JavaScript and TypeScript tests using Jest, including mocking strategies, test structure, and common patterns.
  • Anthony Fu's opinionated tooling and conventions for JavaScript/TypeScript projects, useful for setting up new projects and configuring ESLint/Prettier alternatives.
  • Use MSAGL-JS to lay out and visualize networks in JavaScript or TypeScript, including generating and exporting graphs in multiple formats.
  • This skill provides comprehensive guidelines for writing effective code documentation, focusing on user-centric communication, clarity, and consistency across languages like Dart, Python, and TypeScript.
  • Experimental tool-invocation companion for just-bash that allows JavaScript code to call host-defined tools and exposes them as bash CLI commands.
  • Develop AI-powered applications using Genkit in Node.js/TypeScript, focusing on tools for creating flows and managing conversational agents.
  • Installs and configures Language Server Protocol (LSP) servers for the GitHub Copilot CLI, enabling advanced code intelligence features like go-to-definition and find-references.
  • Author and edit MPS `jetbrains.mps.baseLanguage` (Java) nodes using either a Java parser or JSON AST blueprints, with capabilities for validating and manipulating code structures in MPS models.
  • Java LSP Tools provide navigation and troubleshooting tools for Java development, enabling type lookup and file structure analysis through the Java Language Server.
  • Transforms incomplete or imprecise code descriptions into production-quality code by interpreting shorthand notation, quasi-code, and natural language instructions.