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Same Idea

Find similar ideas and resonating quotes from user's reading notes and knowledge base. Use when user wants to discover connections between a new idea/concept...
从用户的阅读笔记和知识库中找出相似想法和共鸣引用。当用户想发现新概念之间的联系时使用。
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概述

Same Idea - 共鸣发现

Find similar ideas and resonating quotes from user's reading notes and knowledge base.

When to Use

  • User shares a thought or idea from reading
  • User wants to find similar concepts in their existing notes
  • User wants to discover connections between new and existing knowledge
  • User wants to find quotes that resonate with a given concept

Input

A thought, concept, or quote from a book. Examples:

  • "真正的自由是自律的结果"
  • "复利效应不仅适用于金钱,也适用于知识和关系"
  • A passage the user is currently reading

Workflow

  1. Parse the input idea
    • Extract core concepts and keywords
    • Identify the main theme or insight
  1. Search knowledge base
    • Search Logseq vault: ~/Library/Mobile Documents/iCloud~com~logseq~logseq/Documents/
    • Search Obsidian vault: ~/Library/Mobile Documents/iCloud~md~obsidian/Documents/
    • Look for similar concepts, related ideas, or resonating quotes
  1. Match and rank results
    • Semantic similarity matching
    • Prioritize direct quotes with clear attribution
    • Rank by relevance and resonance
  1. Output format

```

## 输入想法

[User's input]

## 共鸣发现

### 1. [Quote/Concept]

> "[The matching quote or similar idea]"

来源: [Book Title] - [Author] / [Person]

共鸣点: [Brief explanation of why this resonates]

### 2. [Quote/Concept]

...

```

Search Strategy

Primary Sources (in order)

  1. Logseq Journals - Daily notes and fleeting thoughts
  2. Logseq Pages - Permanent notes and concept pages
  3. Obsidian Reading Notes - Book highlights and summaries
  4. Obsidian Literature Notes - Processed reading notes

Search Techniques

  • Use grep or rg for keyword matching
  • Look for:
  • Same keywords or synonyms
  • Related concepts
  • Similar metaphors or examples
  • Quotes that express the same insight differently

Matching Criteria

  • Strong match: Direct semantic equivalence
  • Medium match: Related concept or supporting idea
  • Weak match: Tangential connection worth noting

Output Guidelines

  • Return top 3-5 most resonating matches
  • Always include source attribution (book/person)
  • Briefly explain the resonance/connection
  • If no strong matches found, suggest related concepts to explore
  • Be honest when no good matches exist

Example

Input: "复利效应不仅适用于金钱,也适用于知识和关系"

Output:

## 输入想法
复利效应不仅适用于金钱,也适用于知识和关系

## 共鸣发现

### 1. 知识复利
> "每天进步1%,一年后你会进步37倍"

**来源**: 《掌控习惯》 - 詹姆斯·克利尔
**共鸣点**: 强调微小积累的巨大效应,与你提到的知识复利概念一致

### 2. 关系投资
> "人际关系就像银行账户,需要持续存款"

**来源**: 《高效能人士的七个习惯》 - 史蒂芬·柯维
**共鸣点**: 将关系视为需要长期投入的资产,与复利思维相通

版本历史

共 1 个版本

  • v1.0.1 当前
    2026-03-29 19:45 安全 安全

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