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summarize-all总结所有

Agent Skill

summarize-all 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,764

周安装

358

GitHub Stars

公开资料未说明

下载量

2,807
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:summarize-all(总结所有)
来源仓库:https://github.com/gu2003li/summarize-all
安装命令:
openclaw skills install summarize-all
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install summarize-all

简介

智能总结工具 - 自动检测内容类型、智能选择长度、缓存、关键点提取。支持网页、PDF、图片、音频、YouTube。

SKILL.md

name
summarize-all
description
智能总结工具 - 自动检测内容类型、智能选择长度、缓存、关键点提取。支持网页、PDF、图片、音频、YouTube。

Summarize All Pro

Advanced AI Smart Summarizer v3.0 — Multi-featured AI summarization tool


Features

FeatureDescription
🧠 Auto DetectionAutomatically detect content type (news/paper/product/code/recipe, etc., 9 types)
📏 Auto LengthAuto-select summary depth based on content length
📦 Smart Cache24-hour cache, skip API for repeated requests
🔄 Quality ScoringAuto-score, auto-rewrite low-quality summaries
🤖 Multi-ModelMulti-model comparison (GPT-4o vs GPT-4o-mini)
💬 Q&A ModeQ&A mode: ask questions about content
⚖️ Compare ModeCompare mode: compare multiple articles
🌍 TranslationTranslation mode: 7 languages
🔗 Knowledge GraphKnowledge graph: entity relationship diagrams
📋 Structured ReportStructured report: TOC + sections + key points
🌐 API ServerHTTP API server
📡 WebhooksPush results to specified URL
🔔 NotificationsDesktop notifications
🏷️ Auto TagsAutomatic tag extraction
📑 PDF MergeMerge and summarize multiple PDFs
🎓 Academic ModeAcademic paper analysis mode
🔎 Keyword TrackingKeyword tracking alerts
🔍 History SearchSearch through history
📚 Batch ModeBatch processing
📝 Markdown RenderColor-formatted output

Requirements

  • Python 3
  • OpenAI-compatible API endpoint and key
  • Optional: pdftotext, summarize CLI, yt-dlp

Quick Start

# Configure API
summarize-all config set endpoint <endpoint>
summarize-all config set key <api_key>
summarize-all config set model <model>

# Interactive mode
summarize-all

# Basic use
summarize-all "https://example.com"

Supported Models

OpenAI:

  • GPT-4o
  • GPT-4o-mini
  • GPT-4 Turbo
  • GPT-3.5

Anthropic:

  • Claude (via proxy)

Google:

  • Gemini (via proxy)

OpenRouter:

  • Llama, Mistral, Phi-4, DeepSeek, etc.

Chinese Models:

  • Qwen
  • DeepSeek
  • Kimi
  • GLM
  • MiniMax
  • Yi

Supported Content

TypeCommand
🌐 Web pagessummarize-all "https://..."
📄 PDFssummarize-all "/path/file.pdf"
🖼️ Imagessummarize-all "/path/image.jpg"
🎵 Audiosummarize-all "/path/audio.mp3"
🎬 YouTubesummarize-all "https://youtube.com/..."
📝 Plain textsummarize-all "Text to summarize"

Commands

Q&A Mode

summarize-all qa "https://article.com" "What is the main point?"

Compare Mode

summarize-all compare "https://source1.com" "https://source2.com"
summarize-all compare url1 url2 url3  # Multi-article comparison

Multi-Model Comparison

summarize-all multi "https://example.com"

Translation

summarize-all translate "https://article.com" zh
# Supports: zh, en, ja, ko, fr, de, es

Knowledge Graph

summarize-all graph "https://wiki.com/article"

Structured Report

summarize-all structured "https://long-doc.com"

Academic Mode

summarize-all academic paper.pdf

API Server

summarize-all server 8080

URL Monitoring

summarize-all monitor add "https://news.com" 60
summarize-all monitor list
summarize-all monitor remove "https://news.com"

Batch Mode

summarize-all batch urls.txt
cat urls.txt | summarize-all batch -

History Search

summarize-all search "keyword"
summarize-all history 20
summarize-all tags

Options

OptionDescription
-l, --lengthshort/medium/long/xl/auto (default: auto)
-L, --langen/zh/ja/ko/fr/de/es/auto (default: auto)
--no-cacheSkip cache
--thinkShow chain of thought reasoning
-v, --verboseVerbose output
-q, --quietMinimal output

Content Types

TypeFocus
🎓 academicResearch: methodology, findings, conclusions
📰 news5W1H, key quotes, impact
🛒 ecommerceFeatures, price, pros/cons
💻 codeFunctionality, usage, API
🍳 recipeIngredients, time, steps
🎬 videoTopics, insights, timestamps
📖 tutorialPrerequisites, steps, tips
⭐ reviewVerdict, pros/cons, rating

Length Options

OptionOutput
shortFew sentences
medium1-2 paragraphs
longDetailed
xlVery long
xxlComplete
autoAuto-select

Config

summarize-all config set endpoint "https://api.minimax.chat/v1"
summarize-all config set key "your-key"
summarize-all config set model "MiniMax-Text-01"
summarize-all config show
summarize-all config clear
summarize-all config reset

Files:

  • Config: ~/.config/summarize-all/config.json
  • History: ~/.config/summarize-all/history.json
  • Cache: ~/.config/summarize-all/cache.json
  • Tags: ~/.config/summarize-all/tags.json
  • Keywords: ~/.config/summarize-all/keywords.json

Interactive Mode

summarize-all

> https://example.com          # Summarize
> compare a.com b.com          # Compare
> qa url "question"            # Q&A
> search "keyword"             # Search
> tags                          # Tag cloud
> keywords add "AI" "Alert"    # Track
> server 8080                  # API server
> help                          # Full help
> quit                          # Exit

Privacy

⚠️ Content you summarize will be sent to your configured API endpoint.

You control:

  • Which API endpoint to use
  • Which API key to provide
  • Which model processes your data

Use trusted endpoints that comply with your privacy requirements.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.43%
按下载量换算2,033

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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