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/summarize

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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xiaohongshu-mcp-python
14660 skills
Install
$ npx -y skills add luyike221/xiaohongshu-mcp-python --skill summarize --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/summarize

Context preview

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

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

SKILL.md

summarize.SKILL.md
name: summarize
description: Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
homepage: https://summarize.sh
metadata:
  {
    "openclaw":
      {
        "emoji": "🧾",
        "requires": { "bins": ["summarize"] },
        "install":
          [
            {
              "id": "brew",
              "kind": "brew",
              "formula": "steipete/tap/summarize",
              "bins": ["summarize"],
              "label": "Install summarize (brew)",
            },
          ],
      },
  }

Summarize

Fast CLI to summarize URLs, local files, and YouTube links.

When to use (trigger phrases)

Use this skill immediately when the user asks any of:

  • “use summarize.sh”
  • “what’s this link/video about?”
  • “summarize this URL/article”
  • “transcribe this YouTube/video” (best-effort transcript extraction; no `yt-dlp` needed)

Quick start

summarize "https://example.com" --model google/gemini-3-flash-preview
summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto

YouTube: summary vs transcript

Best-effort transcript (URLs only):

summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract-only

If the user asked for a transcript but it’s huge, return a tight summary first, then ask which section/time range to expand.

Model + keys

Set the API key for your chosen provider:

  • OpenAI: `OPENAI_API_KEY`
  • Anthropic: `ANTHROPIC_API_KEY`
  • xAI: `XAI_API_KEY`
  • Google: `GEMINI_API_KEY` (aliases: `GOOGLE_GENERATIVE_AI_API_KEY`, `GOOGLE_API_KEY`)

Default model is `google/gemini-3-flash-preview` if none is set.

Useful flags

  • `--length short|medium|long|xl|xxl|<chars>`
  • `--max-output-tokens <count>`
  • `--extract-only` (URLs only)
  • `--json` (machine readable)
  • `--firecrawl auto|off|always` (fallback extraction)
  • `--youtube auto` (Apify fallback if `APIFY_API_TOKEN` set)

Config

Optional config file: `~/.summarize/config.json`

{ "model": "openai/gpt-5.2" }

Optional services:

  • `FIRECRAWL_API_KEY` for blocked sites
  • `APIFY_API_TOKEN` for YouTube fallback
Read more
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

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