md-to-feishu은(는) 무엇을 하나요?
로컬 Markdown 파일을 자동 이미지 업로드 기능과 함께 Feishu(Lark) 문서로 변환합니다. feishu-docx CLI 도구를 사용합니다.
로컬 Markdown 파일을 자동 이미지 업로드 기능과 함께 Feishu(Lark) 문서로 변환합니다. feishu-docx CLI 도구를 사용합니다.
이 스킬은 로컬 Markdown 파일을 Feishu(Lark) 문서로 변환하고, 문서 내 이미지를 자동으로 업로드하여 첨부하는 기능을 제공합니다. 개발자나 기술 작가가 Feishu/Lark 플랫폼에서 문서를 관리할 때, 기존 Markdown 형식의 문서를 편리하게 가져올 수 있도록 도와줍니다. feishu-docx CLI 도구를 기반으로 동작하며, 변환 과정에서 이미지 링크를 자동으로 처리하여 Feishu 문서에서도 정상적으로 표시되도록 합니다. CLI 도구를 사용하므로 Cursor, Claude Code 등 다양한 AI 어시스턴트 환경에서 스크립트나 명령어 형태로 호출하여 사용할 수 있습니다.
npx skills add https://github.com/zc277584121/marketing-skills/tree/main/skills/md-to-feishuInstalled? Explore more 이미지 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
로컬 Markdown 파일을 자동 이미지 업로드 기능과 함께 Feishu(Lark) 문서로 변환합니다. feishu-docx CLI 도구를 사용합니다.
This repo contains 12 individual skills — each has its own dedicated page.
Take focused, region-specific screenshots from web pages. Navigates to the right page based on user context (URL, search query, social media post), locates the target region via DOM selectors, and crops to a clean, focused screenshot.
Automate Chrome browser tasks using agent-browser CLI. Navigate pages, fill forms, click buttons, take screenshots, extract data, and replay recorded workflows — all inside the user's real Chrome session.
Adapt and rewrite content for different platforms (LinkedIn, X, Reddit, English blog, WeChat). Each platform has its own tone, format, and length requirements.
Fetch, store, and visualize GitHub repository traffic data (views, clones, referrers, stars) with trend charts. Requires repo push access.
Generate illustration images for articles and documentation with a Codex-first workflow, OpenAI API fallback, and Gemini fallback.
Write Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.
Convert Mermaid code blocks in .mmd or .md files to animated GIFs with customizable animation styles (progressive, highlight walk, pulse flow, wave).
Convert Mermaid code blocks in Markdown files to PNG images using the mermaid.ink API.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Review and adjust writing style to reduce AI-generated patterns, making text read more naturally and human-like. Supports Chinese and English.
Compress PNG and JPEG screenshots in place using pngquant and jpegoptim, keeping the original format for maximum compatibility.
Convert a video to multiple GIF variants with different quality/size tradeoffs. Generates a comparison set so the user can visually pick the best result.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.