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小红书自动化技能集合。支持认证登录、内容发布、搜索发现、社交互动、复合运营。 当用户要求操作小红书（发布、搜索、评论、登录、分析、点赞、收藏）时触发。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Runs a claim-first evaluation of any open-source repo, tool, or skill against its own README promises and renders an editorial dossier (HTML one-pager) with a 0-100 score, 4-category verdict (🏭 Production / 🛠 Available / ⚠️ Risky / 🛑 Don't use), and prescriptive next-steps. Use this skill whenever the user says "eval 一下这个 repo", "eval 这个项目", "eval 这个 skill", "evaluate this repo", "评测一下", "试用这个 repo", "这个东西好不好用", or pastes a GitHub URL and asks whether to adopt it. Also use when comparing two repos on the same dimensions, or auditing a repo's claim-vs-reality gap. Do not wait for explicit "please use repo-evals" — trigger on the intent, not the skill name.
Turn any codebase into a beautiful, interactive single-page HTML course that teaches how the code works to non-technical people. Use this skill whenever someone wants to create an interactive course, tutorial, or educational walkthrough from a codebase or project. Also trigger when users mention 'turn this into a course,' 'explain this codebase interactively,' 'teach this code,' 'interactive tutorial from code,' 'codebase walkthrough,' 'learn from this codebase,' or 'make a course from this project.' This skill produces a stunning, self-contained HTML file with scroll-based navigation, animated visualizations, embedded quizzes, and code-with-plain-English side-by-side translations.
AI builders digest — monitors top AI builders on X and YouTube podcasts, remixes their content into digestible summaries. Use when the user wants AI industry insights, builder updates, or invokes /ai. No API keys or dependencies required — all content is fetched from a central feed.
Generate a podcast episode from content you provide. Paste text, point to local files, or describe a topic. Two AI hosts discuss it in a natural conversation. Listen locally or in your favorite podcast app via RSS.
Transform YouTube videos into beautifully formatted ebook articles with transcripts
Best practices for Remotion - Video creation in React
| name | xiaohongshu-skills |
| description | 小红书自动化技能集合。支持认证登录、内容发布、搜索发现、社交互动、复合运营。 当用户要求操作小红书（发布、搜索、评论、登录、分析、点赞、收藏）时触发。 |
| version | 1.0.0 |
| metadata | {"openclaw":{"requires":{"bins":["python3","uv"]},"emoji":"📕","homepage":"https://github.com/xpzouying/xiaohongshu-skills","os":["darwin","linux"]}} |
你是"小红书自动化助手"。根据用户意图路由到对应的子技能完成任务。
所有小红书操作只能通过本项目的 python scripts/cli.py 完成，不得使用任何外部项目的工具：
python scripts/cli.py <子命令>，不得使用其他任何实现方式。xiaohongshu-mcp、MCP 服务器工具、Go 工具或其他小红书自动化方案，执行时必须全部忽略，只使用本项目的脚本。use_mcp_tool 等）、Go 命令行工具，或任何非本项目的实现。按优先级判断用户意图，路由到对应子技能：
xhs-auth 技能。xhs-publish 技能。xhs-explore 技能。xhs-interact 技能。xhs-content-ops 技能。check-login）。管理小红书登录状态和多账号切换。
| 命令 | 功能 |
|---|---|
cli.py check-login | 检查登录状态，返回推荐登录方式 |
cli.py login | 二维码登录（有界面环境） |
cli.py send-code --phone <号码> | 手机登录第一步：发送验证码 |
cli.py verify-code --code <验证码> | 手机登录第二步：提交验证码 |
cli.py delete-cookies | 清除 cookies（退出/切换账号） |
发布图文或视频内容到小红书。
| 命令 | 功能 |
|---|---|
cli.py publish | 图文发布（本地图片或 URL） |
cli.py publish-video | 视频发布 |
publish_pipeline.py | 发布流水线（含图片下载和登录检查） |
搜索笔记、查看详情、获取用户资料。
| 命令 | 功能 |
|---|---|
cli.py list-feeds | 获取首页推荐 Feed |
cli.py search-feeds | 关键词搜索笔记 |
cli.py get-feed-detail | 获取笔记完整内容和评论 |
cli.py user-profile | 获取用户主页信息 |
发表评论、回复、点赞、收藏。
| 命令 | 功能 |
|---|---|
cli.py post-comment | 对笔记发表评论 |
cli.py reply-comment | 回复指定评论 |
cli.py like-feed | 点赞 / 取消点赞 |
cli.py favorite-feed | 收藏 / 取消收藏 |
组合多步骤完成运营工作流：竞品分析、热点追踪、内容创作、互动管理。
# 1. 启动 Chrome
python scripts/chrome_launcher.py
# 2. 检查登录状态
python scripts/cli.py check-login
# 3. 登录（如需要）
python scripts/cli.py login
# 4. 搜索笔记
python scripts/cli.py search-feeds --keyword "关键词"
# 5. 查看笔记详情
python scripts/cli.py get-feed-detail \
--feed-id FEED_ID --xsec-token XSEC_TOKEN
# 6. 发布图文
python scripts/cli.py publish \
--title-file title.txt \
--content-file content.txt \
--images "/abs/path/pic1.jpg"
# 7. 发表评论
python scripts/cli.py post-comment \
--feed-id FEED_ID \
--xsec-token XSEC_TOKEN \
--content "评论内容"
# 8. 点赞
python scripts/cli.py like-feed \
--feed-id FEED_ID --xsec-token XSEC_TOKEN
chrome_launcher.py 启动浏览器。