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book-recommender

Infer user tastes from books.json and generate spoiler-free book recommendations with reading order.

3|Updated Feb 14, 2026
Search Tags:#tracking#mood-based#reading-order#covers#book-recommendations#openlibrary
One-click install
npx skills add https://github.com/hashmil/openclaw-skills --skill book-recommender-hashmil
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: book-recommender
Source: https://github.com/hashmil/openclaw-skills/tree/main/skills/book-recommender
Command: npx skills add https://github.com/hashmil/openclaw-skills --skill book-recommender-hashmil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This capability helps readers discover spoiler-free book recommendations and manage reading order for series, backed by a lightweight JSON database of your books.

Core Features & Use Cases

  • Spoiler-free recommendations with quick content notes
  • Explicit series reading order and starter guidance (Book 1)
  • Cover images rendered from Open Library for each suggested title
  • Mood- and theme-based picks (sci-fi, fantasy, thriller, romance, etc.)
  • Lightweight reading plans and a simple JSON tracker to log progress

Quick Start

Ask your agent for a book recommendation; the agent will load your books.json to tailor spoiler-free picks.

Frequently Asked Questions about book-recommender

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get spoiler-free book recommendations with correct series reading order?▼

Spoiler-free book recommendations with correct reading order are generated by inferring your tastes from a books.json database and assembling one top pick plus alternatives with a clear start-here instruction.

Can I find mood-based book picks using my own reading tracker data?▼

Yes, mood-based book picks are generated by loading your books.json tracker data, allowing the system to infer your tastes and suggest titles across themes like sci-fi, fantasy, thriller, and romance.

How do I validate book covers and metadata using Open Library?▼

Book covers and metadata are validated against Open Library during recommendation generation, providing a direct cover image URL for each suggested title to ensure visual accuracy.

What is the best way to organize a lightweight reading plan and track progress?▼

The best way to organize a lightweight reading plan is using a simple JSON tracker to log progress, which also enables the system to infer your tastes and tailor future spoiler-free recommendations.

Does this book recommendation system provide content notes without revealing spoilers?▼

Yes, the book recommendation system provides brief neutral content notes for each title, ensuring readers receive spoiler-free guidance alongside their suggested reading order and cover images.

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