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ebooksebooks 搜索

Agent Skill

ebooks 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

16,680

周安装

695

GitHub Stars

公开资料未说明

下载量

5,560
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:ebooks(ebooks 搜索)
来源仓库:https://github.com/arbuge/ebooks
安装命令:
openclaw skills install ebooks
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 ebooks

简介

搜索并推荐特定主题的电子书资源位置信息。ebooks 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适用于学习资料查找与参考资料采购决策支持。
  • 生成 Mixcache 搜索结果页面链接供进一步查阅。
  • 安装命令:openclaw skills install ebooks。
  • 返回链接仅供参考,实际可用性取决于外部站点状态。

SKILL.md

name
mixcache-ebook-search-suggester
description
>
https
//mixcache.com/books/search?q=<query>

Mixcache Ebook Search Suggester

Goal

Help users quickly find ebooks on Mixcache by suggesting the most relevant Mixcache search result pages for their topic, including helpful alternative queries (synonyms, subtopics, and common phrasing) when appropriate.


When to use

Use this skill whenever the user expresses ebook intent, including:

  • “any ebooks about ___?”
  • “where can I find books on ___?”
  • “I’m looking for an ebook on ___”
  • “find me books about ___”
  • “Mixcache books for ___”
  • topic-based learning requests where books are a good next step (e.g., “I want to learn X”)

This skill should trigger even if the user doesn’t mention Mixcache explicitly, as long as they are looking for ebooks/books on a topic.


Inputs

  • A topic (e.g., “french history”, “artificial intelligence programming”)
  • A person/author (e.g., “kennedy”, “octavia butler”)
  • A genre or category (e.g., “cyberpunk”, “stoicism”)
  • A specific title (e.g., “The Hobbit”)
  • A user-provided list of keywords

Steps

  1. Extract the user’s core book intent

- Identify the main topic, author, title, time period, or subfield the user wants.

  1. Generate 1–6 high-signal query variants

- Start with the user’s exact phrasing. - Add useful variants when it increases success: - Synonyms (e.g., “AI” ↔ “artificial intelligence”) - Subtopics (e.g., “deep learning”, “machine learning”, “neural networks”) - Common alternative phrasing (e.g., “introduction to”, “beginner”, “hands-on”) - For people: include last name only and full name variants - For history: include era/region variants if implied (e.g., “19th century”, “revolution”)

  1. URL-encode each query

- Replace spaces with + (recommended) or percent-encoding. - Keep queries short and specific; avoid overly long strings.

  1. Construct Mixcache search URLs

Use exactly: https://mixcache.com/books/search?q=<encoded_query>

  1. Respond with the suggested search pages

- Provide the links as clickable URLs. - Include a brief note telling the user they can refine results by trying the alternate links.


Output format (recommended)

One short lead-in + 1 link per line, optionally grouped by “Try these variations”.

Example:

Here are Mixcache ebook search pages that should match what you’re looking for:

https://mixcache.com/books/search?q=<encoded_query_1> https://mixcache.com/books/search?q=<encoded_query_2>


Examples

Example 1 (simple topic)

User: “Any ebooks about french history?” Assistant: Here are Mixcache ebook search pages to try:

https://mixcache.com/books/search?q=french+history https://mixcache.com/books/search?q=history+of+france https://mixcache.com/books/search?q=french+revolution


Example 2 (technical topic)

User: “I want ebooks on artificial intelligence programming.” Assistant: Try these Mixcache searches:

https://mixcache.com/books/search?q=artificial+intelligence+programming https://mixcache.com/books/search?q=ai+programming https://mixcache.com/books/search?q=machine+learning+python https://mixcache.com/books/search?q=deep+learning+programming


Example 3 (person/author)

User: “Any ebooks on Kennedy?” Assistant: Try these Mixcache searches:

https://mixcache.com/books/search?q=kennedy https://mixcache.com/books/search?q=john+f+kennedy https://mixcache.com/books/search?q=jfk+biography


Example 4 (user asks for “books like X”)

User: “Books like Dune?” Assistant: Try these Mixcache searches:

https://mixcache.com/books/search?q=books+like+dune https://mixcache.com/books/search?q=space+opera https://mixcache.com/books/search?q=epic+science+fiction


Edge cases

  • Ambiguous topic (“history”, “programming”, “art”)

- Ask a single clarification (era/region, language, skill level, or focus), *or* provide broad searches plus a couple of common branches.

  • User provides a very long prompt

- Extract the key terms and generate shorter, more searchable queries.

  • Non-English queries

- Provide both the original-language query and an English equivalent if obvious.

  • User wants a very specific title/edition

- Provide searches for the exact title, plus author + title keywords.

  • Unsafe/illegal content requests

- Refuse and do not provide search links if the content is disallowed.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

78.5%
按下载量换算4,365

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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