Mq – jq-like command-line tool for Markdown processing (github.com)

🤖 AI Summary
The newly announced command-line tool, "mq," brings an efficient Markdown processing solution that mimics the syntax of jq, making it easier for developers to manipulate and transform structured text. Written in Rust, mq streamlines various tasks such as LLM workflows, documentation management, and batch processing, which is particularly significant as Markdown has become a primary input format for many language models. By offering features like slicing, filtering, and mapping, mq empowers users to extract relevant content quickly and organize documentation more effectively. The tool's extensibility is noteworthy, as it supports custom functions, external subcommands, and integrates easily with popular development environments like VSCode and Neovim. Additionally, it includes a REPL for interactive query execution, an experimental debugger for in-depth inspection, and built-in functions for content transformation. The potential applications of mq in AI workflows, especially in generating and processing LLM input, set the stage for more sophisticated interactions with Markdown-based data, enhancing how developers and researchers engage with AI content generation and documentation.
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