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AI resources

  • 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.
  • Enables code intelligence for any programming language by installing and configuring a Language Server Protocol (LSP) server for Copilot CLI. It detects the operating system, installs the necessary server, and generates the required JSON configuration.
  • A resource for working with Slang shaders, providing capabilities for writing, reviewing, and optimizing shader code for graphics applications, including cross-compilation across different languages and platforms.
  • The bx CLI tool is designed for performing web searches and deep research using AI-optimized methods, providing pre-extracted web content and various command options for synthesis, traditional search, and specific lookups.
  • Java LSP Tools provide navigation and troubleshooting capabilities for Java source code, including type lookup and file outlines.
  • Exec is a skill that allows you to run bash commands in a JavaScript-based bash interpreter called just-bash, within a Dynamic Worker environment. It supports various text manipulation tools and built-in git functionality, but lacks support for standard binaries and direct network access.
  • Build reusable command line scripts and utilities to interact with the Hugging Face API, allowing for chaining and processing of API calls.
  • Transforms incomplete code snippets and natural language descriptions into production-quality code. Suitable for varying levels of collaborator expertise, it interprets and implements technical solutions based on shorthand or quasi-code notation.
  • The Brave Search CLI (`bx`) allows users to perform comprehensive web searches using the Brave Search API, optimized for AI agents and LLMs. It enables efficient search queries with pre-extracted, relevance-scored content and supports various commands for documentation lookup, AI-generated answers, and more.
  • Provides comprehensive guidelines for writing effective code documentation, including how to create clear and maintainable docstrings and comments across multiple programming languages.