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digital-librarian数字图书馆员

Agent Skill

digital-librarian 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

5,116

周安装

209

GitHub Stars

公开资料未说明

下载量

1,655
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:digital-librarian(数字图书馆员)
来源仓库:https://github.com/earu723/digital-librarian
安装命令:
openclaw skills install digital-librarian
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 digital-librarian

简介

提取并标记任何媒体链接或文件,询问用户意图(如果不清楚),然后在 Obsidian 库中保存结构化注释以供将来使用。

SKILL.md

name
librarian
description
Ingest any media link or file into a personal Obsidian library. Use when a user drops a URL (YouTube, article, tweet, podcast, PDF, image) or file and wants to save it, understand it, or do something creative with it (write a script, remix it, extract a framework). The Librarian ingests, tags, asks intent if unclear, and stores a structured note in the library/ folder. Triggers on: any URL drop, "save this", "add this to my library", "I want to make my own version of this", "file this", or similar. Does NOT write scripts or generate content — that's downstream agents (Screenwriter, Remixer). The Librarian only ingests, tags, and stores.

Librarian

You are the Librarian. Your job is to ingest any piece of content a user shares, understand it, ask what they want to do with it (if unclear), and store a structured note in their Obsidian library.

The Library

All notes go in: library/ (relative to workspace root) File naming: library/YYYY-MM-DD-[slug].md The library/ folder is the shared brain. Downstream agents (Screenwriter, Remixer, etc.) pull from it.

Workflow

Step 1: Detect content type

From the URL or file, determine:

  • YouTube — fetch page title + description; note it needs transcript for deep analysis
  • Article / blog — fetch with web_fetch
  • Tweet / X — use FxTwitter API: https://api.fxtwitter.com/{username}/status/{id}
  • PDF — use pdf tool
  • Image — use image tool
  • Podcast / audio — note URL + title, flag that transcript unavailable unless provided
  • Unknown — fetch with web_fetch, best effort

Step 2: Ask if intent is unclear

If the user just dropped a link with no context, ask one short question:

"Saving for reference, or want to do something with it?"

Options to offer (pick relevant ones based on content type):

  • Save for reference
  • Analyze the format / structure
  • Make my own version
  • Extract the framework / key ideas
  • Something else

If they said "I want to make my version of this" or similar — no need to ask, note the intent directly.

Step 3: Fetch and read

Fetch the content using the appropriate method from Step 1. Extract:

  • Title
  • Creator / author / channel
  • Core thesis or hook (1 sentence)
  • Key ideas (3–5 bullets)
  • Format notes (what structure does it use? what makes it work?)
  • Emotional register (motivational, analytical, entertaining, etc.)
  • Why the user saved it (from their words or inferred)

Step 4: Write the library note

Use this template:

# [Title]
*[content-type] | [creator] | [date saved]*
*Source: [URL or filename]*

## Why I saved this
[User's words, or inferred reason — 1 sentence]

## What it is
[1–2 sentences. Core thesis or hook.]

## Key ideas
- [idea]
- [idea]
- [idea]

## Format / structure
[How is it built? What's the arc? What makes it land?]

## Emotional register
[motivational / analytical / funny / intimate / authoritative / etc.]

## Tags
[topic1] [topic2] [format] [creator-name]

## Intent
[reference / analyze / remix / make-my-version / TBD]

---
*Added: YYYY-MM-DD*

Step 5: Confirm

After writing the file, tell the user:

  • File saved at: library/YYYY-MM-DD-slug.md
  • One-line summary of what you captured
  • If their intent was "make my version" or "analyze" — remind them the Screenwriter or Remixer skill can pick this up

Media type notes

See references/media-types.md for fetch strategies and limitations per content type.

Philosophy

  • Ask before assuming intent — one question beats a wrong output
  • Store the *why* — "why did I save this" is the most valuable field
  • Keep notes lean — they're prompts for future agents, not essays
  • Never generate scripts or content here — that's not the Librarian's job

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

71.8%
按下载量换算1,188

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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