OpenClaw

aibrary-book-recommend

[Aibrary] Recommend books based on user interests, goals, challenges, or career stage. Use when the user asks for book recommendations, says they don't know what to read, wants personalized suggestions, or needs guidance on which book to pick next. Different from aibrary-book-search — this focuses on personalized recommendations rather than search results.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install asoiso/aibrary-book-recommend

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Book Recommend — Aibrary

Personalized book recommendations tailored to who you are and where you're headed. Powered by Aibrary's recommendation methodology.

Input

The user provides context about themselves:

Interest area — what topics fascinate them
Current challenge — what problem they're facing right now
Career stage — student, early career, mid-career, senior, transitioning
Recent reads — books they've enjoyed or found useful (optional)
Preference — practical vs. theoretical, short vs. deep, etc. (optional)

Workflow

Build a reader profile: From the user's input, identify:
- Knowledge level in the relevant domain(s)
- Whether they need foundational knowledge or advanced insights
- Their learning style preference (if mentioned)
- Time/effort they're willing to invest
Select recommendations: Choose 1-3 books (focused, not overwhelming). For each, ensure:
- It fills a genuine knowledge gap for this specific person
- It matches their current stage and challenge
- It builds on what they already know (if prior reading is mentioned)
Provide deep rationale: Go beyond "this is a great book" — explain the specific connection between the book and the user's situation.
Suggest a reading approach: For each book, suggest how to get the most value (read cover-to-cover, focus on specific chapters, combine with practice, etc.)
Respond in the user's language: Match the language of the user's input.

Output Format

## Your Recommendation

Based on [brief summary of user context], here's what I recommend:

### [Book Title]
**Author**: [Author Name]
**Published**: [Year] | **Pages**: [Count] | **Reading time**: [Estimate]

**Why this is right for you**: [2-3 sentences connecting the book specifically to the user's situation, goals, and current knowledge level]

**What you'll gain**:
- [Key takeaway 1]
- [Key takeaway 2]
- [Key takeaway 3]

**How to read it**: [Specific reading...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/asoiso/aibrary-book-recommend
Version: —
Commit: 3c4b9499819eadb9d523ceb1595678032dac7ad8
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Book Recommend — Aibrary

Personalized book recommendations tailored to who you are and where you're headed. Powered by Aibrary's recommendation methodology.

## Input

The user provides context about themselves:
- **Interest area** — what topics fascinate them
- **Current challenge** — what problem they're facing right now
- **Career stage** — student, early career, mid-career, senior, transitioning
- **Recent reads** — books they've enjoyed or found useful (optional)
- **Preference** — practical vs. theoretical, short vs. deep, etc. (optional)

## Workflow

1. **Build a reader profile**: From the user's input, identify:
   - Knowledge level in the relevant domain(s)
   - Whether they need foundational knowledge or advanced insights
   - Their learning style preference (if mentioned)
   - Time/effort they're willing to invest

2. **Select recommendations**: Choose 1-3 books (focused, not overwhelming). For each, ensure:
   - It fills a genuine knowledge gap for this specific person
   - It matches their current stage and challenge
   - It builds on what they already know (if prior reading is mentioned)

3. **Provide deep rationale**: Go beyond "this is a great book" — explain the specific connection between the book and the user's situation.

4. **Suggest a reading approach**: For each book, suggest how to get the most value (read cover-to-cover, focus on specific chapters, combine with practice, etc.)

5. **Respond in the user's language**: Match the language of the user's input.

## Output Format

```
## Your Recommendation

Based on [brief summary of user context], here's what I recommend:

### [Book Title]
**Author**: [Author Name]
**Published**: [Year] | **Pages**: [Count] | **Reading time**: [Estimate]

**Why this is right for you**: [2-3 sentences connecting the book specifically to the user's situation, goals, and current knowledge level]

**What you'll gain**:
- [Key takeaway 1]
- [Key takeaway 2]
- [Key takeaway 3]

**How to read it**: [Specific reading...

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