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PythonReactSEOPDF
OpenClaw

book-review

Expand reading insights into in-depth reviews with personalized references from your notes. Usage: In chat, type /book-review [reading insight], and AI will search your notes for relevant references to generate a thoughtful book review.

harrylabs09130 installations selon la source☆ 0 Étoiles du dépôtv1.0.2

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install harrylabs0913/book-review-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Book Review Skill

Expand reading insights into in-depth reviews with personalized references from your notes.

Features

  • 📖 Insight Expansion: Expand short reading notes into in-depth book reviews
  • 🔍 Smart References: Search your note library for related passages to reference
  • 🎯 Personalized Recommendations: Recommend related books based on user's reading history
  • 💡 Deep Analysis: Comprehensive analysis combining multiple knowledge points

Usage

In chat, type:

/book-review [your reading insight]

For example:

/book-review Today I read about deliberate practice and found it very inspiring

Tech Stack

  • TypeScript
  • nodejieba (Chinese word segmentation)
  • lunr (full-text search)
  • DeepSeek AI

Dependencies

  • Node.js >= 18.0.0
  • OpenClaw >= 2026.3.0

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/harrylabs0913/book-review-skill
Version
1.0.2
Commit
295abbf963197b2845b5d940084fbb5de078536d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

📚 OpenClaw Book Review Skill

License Node Version TypeScript OpenClaw

Transform every reading insight into deep, thoughtful analysis

Features • Quick Start • Examples • Architecture • Contributing

🎯 Project Overview

The Book Review Skill is an OpenClaw plugin that transforms brief reading insights into in-depth, personalized book reviews. It searches your personal note library to find relevant content references and generates insightful extended analysis.

Core Values
  • Deepen Thinking: Transform fragmented insights into systematic thinking
  • Knowledge Connection: Automatically link your existing notes to build knowledge networks
  • Personalization: Generate customized reviews based on your reading history and note content
  • Efficiency Boost: Quickly obtain in-depth reading feedback, saving organization time

✨ Features

Core Features
  • ✅ Smart Parsing: Automatically analyze themes, sentiment, and keywords from reading insights
  • ✅ Note Search: Intelligently search relevant content in your note library
  • ✅ AI Generation: Generate in-depth extended reviews using DeepSeek API
  • ✅ Personalized References: Quote your note content to provide personalized feedback
  • ✅ Multi-format Output: Support Markdown, plain text, and HTML formats
Advanced Features
  • 🔄 Batch Processing: Support processing multiple reading insights at once
  • ⚙️ Flexible Configuration: Configurable note paths, AI models, output formats, etc.
  • 🛡️ Error Recovery: Comprehensive error handling and fallback solutions
  • 📊 Statistics: Provide processing statistics and performance...

Contenu extrait

SKILL.md
# Book Review Skill

Expand reading insights into in-depth reviews with personalized references from your notes.

## Features

- 📖 **Insight Expansion**: Expand short reading notes into in-depth book reviews
- 🔍 **Smart References**: Search your note library for related passages to reference
- 🎯 **Personalized Recommendations**: Recommend related books based on user's reading history
- 💡 **Deep Analysis**: Comprehensive analysis combining multiple knowledge points

## Usage

In chat, type:
```
/book-review [your reading insight]
```

For example:
```
/book-review Today I read about deliberate practice and found it very inspiring
```

## Tech Stack

- TypeScript
- nodejieba (Chinese word segmentation)
- lunr (full-text search)
- DeepSeek AI

## Dependencies

- Node.js >= 18.0.0
- OpenClaw >= 2026.3.0
README
# 📚 OpenClaw Book Review Skill

<div align="center">

![License](https://img.shields.io/badge/license-MIT-blue.svg)
![Node Version](https://img.shields.io/badge/node-%3E%3D18.0.0-green.svg)
![TypeScript](https://img.shields.io/badge/typescript-5.3.2-blue.svg)
![OpenClaw](https://img.shields.io/badge/openclaw-2026.3.0-orange.svg)

**Transform every reading insight into deep, thoughtful analysis**

[Features](#-features) • [Quick Start](#-quick-start) • [Examples](#-examples) • [Architecture](#-architecture) • [Contributing](#-contributing)

</div>

## 🎯 Project Overview

The Book Review Skill is an OpenClaw plugin that transforms brief reading insights into in-depth, personalized book reviews. It searches your personal note library to find relevant content references and generates insightful extended analysis.

### Core Values
- **Deepen Thinking**: Transform fragmented insights into systematic thinking
- **Knowledge Connection**: Automatically link your existing notes to build knowledge networks
- **Personalization**: Generate customized reviews based on your reading history and note content
- **Efficiency Boost**: Quickly obtain in-depth reading feedback, saving organization time

## ✨ Features

### Core Features
- ✅ **Smart Parsing**: Automatically analyze themes, sentiment, and keywords from reading insights
- ✅ **Note Search**: Intelligently search relevant content in your note library
- ✅ **AI Generation**: Generate in-depth extended reviews using DeepSeek API
- ✅ **Personalized References**: Quote your note content to provide personalized feedback
- ✅ **Multi-format Output**: Support Markdown, plain text, and HTML formats

### Advanced Features
- 🔄 **Batch Processing**: Support processing multiple reading insights at once
- ⚙️ **Flexible Configuration**: Configurable note paths, AI models, output formats, etc.
- 🛡️ **Error Recovery**: Comprehensive error handling and fallback solutions
- 📊 **Statistics**: Provide processing statistics and performance...

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