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[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...

综合技能

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v0.1.0

统计:⭐ 0 · 169 · 1 current installs · 1 all-time installs

0

安装量(当前) 1

🛡 VirusTotal :良性 · OpenClaw :良性

Package:asoiso/aibrary-book-recommend

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

Instruction-only skill that gives tailored book recommendations; it requests no credentials, installs nothing, and its runtime instructions are consistent with its stated purpose.

目的

Name, description, and SKILL.md all describe personalized book recommendations; there are no unrelated environment variables, binaries, or config paths requested.

说明范围

SKILL.md contains only guidance for building a reader profile, selecting 1-3 books, giving rationale and reading strategy, and asking clarifying questions when needed — it does not instruct the agent to read files, access system state, call external endpoints, or exfiltrate data.

安装机制

No install spec and no code files — nothing will be downloaded or written to disk by the skill.

证书

The skill requires no environment variables, credentials, or config paths; requested inputs are user-provided contextual details (interests, career stage, recent reads), which are appropriate for personalization.

持久

always is false and the skill does not request persistent or elevated privileges; autonomous invocation is allowed (platform default) but the skill has no added persistent presence or system modifications.

综合结论

This is a low-risk, instruction-only recommendation skill that asks only for the user's reading/preferences context and does not access credentials or install code. Before enabling, consider: (1) the skill source/homepage is unknown—if provenance matters, prefer skills with a known publisher; (2) avoid entering sensitive personal data when testing; (3) test with a few sample prompts to confirm the style and quality of recommendations match you…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Aibrary Book Recommend」。简介:[Aibrary] Recommend books based on user interests, goals, challenges, or career…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/asoiso/aibrary-book-recommend/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: aibrary-book-recommend
description: "[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."
---

# 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 strategy — which parts to focus on, what to skip, how to apply the ideas]

**After this, read**: [One follow-up book suggestion to continue the learning path]
```

### Example Output

**User input**: "I'm a senior engineer thinking about whether to go into management. I've been reading a lot of technical books but nothing about leadership."

---

## Your Recommendation

Based on your transition consideration from senior engineer to management, with a strong technical background but limited leadership reading, here's what I recommend:

### The Manager's Path
**Author**: Camille Fournier
**Published**: 2017 | **Pages**: 244 | **Reading time**: ~6 hours

**Why this is right for you**: Written by a former CTO who started as an engineer, this book maps the exact journey you're considering. Unlike generic leadership books, it speaks your language and addresses the specific challenges engineers face when moving into management — from the first awkward 1:1 to managing managers.

**What you'll gain**:
- A realistic preview of what management actually looks like at each level
- Frameworks for deciding if management is right for you (it's not for everyone, and that's okay)
- Practical skills for the first 90 days as a new manager

**How to read it**: Start with chapters 1-4 to understand the progression from tech lead to manager. If you're still interested after chapter 3, the role is likely a good fit. Chapter 5 onwards is for when you've made the decision.

**After this, read**: *An Elegant Puzzle* by Will Larson — for the systems-thinking approach to engineering management.

---

## Guidelines

- Fewer, better recommendations beat a long list — 1-3 books maximum
- Always explain why this book, for this person, at this time
- Include practical reading strategies, not just "read this"
- Suggest what to read next to create a learning path
- If the user's needs are unclear, ask 1-2 clarifying questions first
- Distinguish from `aibrary-book-search`: search is for finding books on a topic; recommend is for personalized guidance on what to read next