lark-doc
larksuite / cli
About lark-doc
飞书云文档（Docx / Wiki 文档）：读取和编辑飞书文档内容。当用户给出文档 URL 或 token，或需要查看、创建、编辑文档、插入或下载文档图片附件时使用。文档中嵌入的电子表格、多维表格、画板，先用本 skill 提取 token 再切到对应 skill。当用户给出 doubao.com 的 /docx/ 或 /wiki/ URL/token 时，也应直接使用本 skill；路由依据是 URL 路径模式和 token，而不是域名。不负责文档评论管理，也不负责表格或 Base 的数据操作。当用户明确要操作飞书思维笔记时，也使用本 skill。
Install lark-doc
npx skills add https://github.com/larksuite/cli --skill lark-doc基本情報
What it does
Supports three document types: Docx, Wiki, and Cloud Documents; handles embedded spreadsheets, multidimensional tables, and whiteboards by extracting tokens for downstream skill routing
Core operations include fetch (with scoping and detail levels), create (XML or Markdown), update (str_replace, block operations, append, overwrite), and media management (insert, download, preview)
All docs +create , docs +fetch , and docs +update commands require --api-version v2 flag; defaults to DocxXML format unless Markdown is explicitly requested
Recognizes Feishu document URLs and tokens from both feishu.cn and doubao.com domains; routes based on URL path patterns and token type, not domain alone
More skills in Documents
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larksuite / cli
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mattpocock / skills
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larksuite / cli
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anthropics / skills
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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lllllllama / ai-paper-reproduction-skill
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lllllllama / rigorpilot-skills
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.