xiaohongshu-ops
小红书相关操作,覆盖账号定位、选题研究、内容生产、发布执行与复盘修复的小红书全链路运营技能。凡是小红书的浏览/搜索/发布/评论任务,默认必须使用 OpenClaw 内置浏览器流程并指定 profile=\"openclaw\";除非用户明确要求,否则不要使用系统 open 或外部浏览器。
Free to get · One-click to use
小红书相关操作,覆盖账号定位、选题研究、内容生产、发布执行与复盘修复的小红书全链路运营技能。凡是小红书的浏览/搜索/发布/评论任务,默认必须使用 OpenClaw 内置浏览器流程并指定 profile=\"openclaw\";除非用户明确要求,否则不要使用系统 open 或外部浏览器。
通过灵珠平台将 OpenClaw 接入 Rokid/乐奇眼镜,支持拍照、导航、日程和实验性原生动作桥接。
智能内容创作平台 - 7阶段认知工作流,从热点发现到文章发布全流程自动化。 零配置开箱即用,完美适配 OpenClaw v1.0.0+。 支持多平台发布(公众号、小红书、知乎、抖音等)、去AI化处理,质量审计与优化。 采用 CORE-EEAT 质量标准确保内容专业性,支持 WAL 协议记忆系统和生命周期管理。
元级 (Meta-level) Skill,自动分析 OpenClaw 龙虾的工作数据,发现使用模式、评估 session 质量、优化工具权重,实现技能系统的自我进化和持续改进。
为 openclaw 处理 QQ 消息与 NapCat 结构化接口调用时,强制使用 napcat 插件 API,并按照消息 target / action target 规则生成参数。适用于“发送QQ消息”“查看好友列表”“处理好友申请”“处理群申请/群邀请”“查看陌生人信息”“修改好友备注”“查看群列表”“查询群成员”“禁言/踢人/改群名片”“查看状态/OCR/最近会话”“上传/查询群文件/获取文件直链”“流式上传/下载文件”“流式下载图片/语音/视频”“查看群系统消息/notice 事件”等请求。
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
├─ ⭐ 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
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 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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: