Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: docusaurus

영문 디렉토리

Markdown parser, done right. Commonmark support, extensions, syntax plugins, high speed - all in one. Gulp and metalsmith plugins available. Used by Facebook, Docusaurus and many others! Use https://github.com/breakdance/breakdance for HTML-to-markdown conversion. Use https://github.com/jonschlinkert/markdown-toc to generate a table of contents.

5.8K
Stars
73/100
신뢰
카테고리: document-processing감사

API and CLI for generating a markdown TOC (table of contents) for a README or any markdown files. Uses Remarkable to parse markdown. Used by NASA/openmct, Prisma, Joi, Mocha, Sass, Prettier, Orbit DB, FormatJS, Raneto, hapijs/code, webpack-flow, docusaurus, release-it, ts-loader, json-server, reactfire, bunyan, husky, react-easy-state, react-snap, chakra-ui, carbon, alfresco, repolinter, Assemble, Verb, and thousands of other projects.

1.8K
Stars
68/100
신뢰
카테고리: document-processing감사

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.

3.0K
Stars
73/100
신뢰
카테고리: design-creative감사

📚 Docs site that builds in ~1s. AI generates pages, you own as Markdown. Sidebar nav, search, syntax highlighting — fewer deps than Docusaurus, no Python like MkDocs. 文档站点,秒级构建 👇

197
Stars
70/100
신뢰
카테고리: document-processing감사

A collection of over 150 atomic skills for Claude Code covering web frameworks, state management, infrastructure, and more, installable via Claude Code plugin commands or the Agents Inc CLI.

19
Stars
62/100
신뢰
카테고리: coding-agents감사

Guide the user through containerizing and serving a simple website or documentation folder with Docker — inspects the project to detect what to serve (ready-to-serve static HTML, a buildable site that emits static output, or a raw markdown/docs folder that needs rendering), generates a Dockerfile, .dockerignore, docker-compose.yml, helper run/build commands, and a 'Running with Docker' README section, then offers to build and smoke-test the container and publish the image to Docker Hub or GHCR. Uses nginx:alpine for static content and a multi-stage build when the site must be generated. Only invoke when the user explicitly types /ai-assist-dockerize-website. Never auto-trigger from general conversation about Docker, containers, websites, or Dockerfiles.

88
Stars
61/100
신뢰
카테고리: research감사