O que md-to-feishu faz?
Converte arquivos Markdown locais em documentos do Feishu (Lark) com upload automático de imagens. Utiliza a ferramenta CLI feishu-docx.
Converte arquivos Markdown locais em documentos do Feishu (Lark) com upload automático de imagens. Utiliza a ferramenta CLI feishu-docx.
Esta skill permite que agentes de IA convertam documentos Markdown locais diretamente em documentos do Feishu (Lark), automatizando o upload de imagens embutidas. Ela é útil para desenvolvedores e equipes que utilizam o Feishu como plataforma de documentação e precisam migrar ou sincronizar conteúdo Markdown de forma eficiente. A skill utiliza a ferramenta CLI `feishu-docx` e requer autenticação via token de acesso do Feishu. Suporta plataformas como Claude Code, Cursor e Codex, e simplifica o fluxo de trabalho ao eliminar a necessidade de upload manual de imagens e formatação repetitiva. O agente lê o arquivo Markdown, processa as imagens e invoca o comando CLI para criar o documento formatado no Feishu, mantendo a estrutura original do Markdown.
npx skills add https://github.com/zc277584121/marketing-skills/tree/main/skills/md-to-feishuInstalled? Explore more Imagem skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Converte arquivos Markdown locais em documentos do Feishu (Lark) com upload automático de imagens. Utiliza a ferramenta CLI feishu-docx.
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.