飞书云文档:创建和编辑飞书文档。从 Markdown 创建文档、获取文档内容、更新文档(追加/覆盖/替换/插入/删除)、上传和下载文档中的图片和文件、搜索云空间文档。当用户需要创建或编辑飞书文档、读取文档内容、在文档中插入图片、搜索云空间文档时使用;如果用户是想按名称或关键词先定位电子表格、报表等云空间对象,也优先使用本 skill 的 docs +search 做资源发现。
npx skills add https://github.com/ComeOnOliver/skillshub --skill lark-doc
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
| Create beautiful visual art in PNG and PDF documents using design philosophy and aesthetic principles for posters, illustrations, and static pieces.
| Restore and fix image quality — deblur, denoise, fix faces, and restore old documents using fal.ai's hosted restoration models.
| Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.
>- A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough.
Take comeonoliver/lark-doc from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.