Skip to content
Content
Skill

/camsnap

Capture frames or clips from RTSP/ONVIF cameras.

BOOST
From plugin
xiaohongshu-mcp-python
14660 skills
Install
$ npx -y skills add luyike221/xiaohongshu-mcp-python --skill camsnap --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/camsnap

Context preview

The summary Claude sees to decide when to auto-load this skill.

Capture frames or clips from RTSP/ONVIF cameras.

SKILL.md

camsnap.SKILL.md
name: camsnap
description: Capture frames or clips from RTSP/ONVIF cameras.
homepage: https://camsnap.ai
metadata:
  {
    "openclaw":
      {
        "emoji": "📸",
        "requires": { "bins": ["camsnap"] },
        "install":
          [
            {
              "id": "brew",
              "kind": "brew",
              "formula": "steipete/tap/camsnap",
              "bins": ["camsnap"],
              "label": "Install camsnap (brew)",
            },
          ],
      },
  }

camsnap

Use `camsnap` to grab snapshots, clips, or motion events from configured cameras.

Setup

  • Config file: `~/.config/camsnap/config.yaml`
  • Add camera: `camsnap add --name kitchen --host 192.168.0.10 --user user --pass pass`

Common commands

  • Discover: `camsnap discover --info`
  • Snapshot: `camsnap snap kitchen --out shot.jpg`
  • Clip: `camsnap clip kitchen --dur 5s --out clip.mp4`
  • Motion watch: `camsnap watch kitchen --threshold 0.2 --action '...'`
  • Doctor: `camsnap doctor --probe`

Notes

  • Requires `ffmpeg` on PATH.
  • Prefer a short test capture before longer clips.
Ships withxiaohongshu-mcp-python

xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具,通过 Model Context Protocol(MCP)协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式(JPG、PNG、GIF)和视频格式(MP4、MOV、AVI),既可处理本地文件路径,也支持 HTTP/HTTPS 链接,为用户提供灵活的内容发布方案。 该工具特别适合内容创作者、营销人员和开发者使用,能够显著提升小红书内容发布的效率和自动化程度。通过标准化的 MCP 接口,用户可以轻松地将小红书操作能力集成到各种 AI 工作流中,实现智能化的内容管理

Get the whole plugin

Other skills on xiaohongshu-mcp-python.