A comprehensive collection of ready-to-use scientific and research skills for AI agents.
Skill ディレクトリ
AI Agent のための再利用可能な Skill を見つける。
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
検索結果: annotation-parsers
英語版ディレクトリLabel Studio is a multi-type data labeling and annotation tool with standardized output format
Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input from devices such as Wacom Tablets.
Open source annotation tool for machine learning practitioners.
The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
PDF++: the most Obsidian-native PDF annotation & viewing tool ever. Comes with optional Vim keybindings.
Smarter YAML front matter parser, used by metalsmith, Gatsby, Netlify, Assemble, mapbox-gl, phenomic, vuejs vitepress, TinaCMS, Shopify Polaris, Ant Design, Astro, hashicorp, garden, slidev, saber, sourcegraph, and many others. Simple to use, and battle tested. Parses YAML by default but can also parse JSON Front Matter, Coffee Front Matter, TOML Front Matter, and has support for custom parsers. Please follow gray-matter's author: https://github.com/jonschlinkert
Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes
High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 56+ document formats using streaming parsers and built-in OCR.
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
AI-powered multi-voice audiobook generator — LLM script annotation, voice cloning, voice design, LoRA training, per-line style control, and export to MP3, chaptered M4B, or Audacity multi-track. Built on Qwen3-TTS.