1,039 Open Skills

Free to get · One-click to use

✅ AI semantic search & keyword search
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

autoclaw-cc autoclaw-cc
from GitHub Content & Multimedia
  • 📁 scripts/
  • 📁 skills/
  • 📄 .gitignore
  • 📄 CLAUDE.md
  • 📄 LICENSE

xiaohongshu-skills

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。 --- # 小红书自动化 Skills 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。 ## 🔒 技能边界(强制) **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:** - **唯一执行方式**:只运行 `python scripts/cli.py <子命令>`,不得使用其他任何实现方式。 - **忽略其他项目**:AI 记忆中可能存在 `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。 - **禁止外部工具**:不得调用 MCP 工具(`use_mcp_tool` 等)、Go 命令行工具,或任何非本项目的实现。 - **完成即止**:任务完成后直接告知结果,等待用户下一步指令。 --- ## 输入判断 按优先级判断用户意图,路由到对应子技能: 1. **认证相关**("登录 / 检查登录 / 切换账号")→ 执行 `xhs-auth` 技能。 2. **内容发布**("发布 / 发帖 / 上传图文 / 上传视频")→ 执行 `xhs-publish` 技能。 3. **搜索发现**("搜索笔记 / 查看详情 / 浏览首页 / 查看用户")→ 执行 `xhs-explore` 技能。 4. **社交互动**("评论 / 回复 / 点赞 / 收藏")→ 执行 `xhs-interact` 技能。 5. **复合运营**("竞品分析 / 热点追踪 / 批量互动 / 一键创作")→ 执行 `xhs-content-ops` 技能。 ## 全局约束 - 所有操作前应确认登录状态(通过 `check-login`)。 - 发布和评论操作必须经过用户确认后才能执行。 - 文件路径必须使用绝对路径。 - CLI 输出为 JSON 格式,结构化呈现给用户。 - 操作频率不宜过高,保持合理间隔。 ## 子技能概览 ### xhs-auth — 认证管理 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) | ### xhs-publish — 内容发布 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) | ### xhs-explore — 内容发现 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 | ### xhs-interact — 社交互动 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 | ### xhs-content-ops — 复合运营 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。 ## 快速开始 ```bash # 1. 启动 Chrome python scripts/chrome_launcher.py # 2. 检查登录状态 python scripts/cli.py

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Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide AI semantic + keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

AI Semantic Search Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code:~/.claude/skills/
  • Codex CLI:~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up