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knowledge-synthesis

@tstapler/dotfiles
5
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Synthesize knowledge from multiple sources into Zettelkasten notes for Logseq. Use when creating wiki pages, integrating academic research, or building interconnected knowledge with [[links]] and #[[tags]].

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name knowledge-synthesis
description Synthesize knowledge from multiple sources into Zettelkasten notes for Logseq. Use when creating wiki pages, integrating academic research, or building interconnected knowledge with [[links]] and

Knowledge Synthesis

Synthesize knowledge from multiple sources into interconnected Zettelkasten notes.

When to Use This Skill

Complex topics requiring:

  • Multi-source research (3+ authoritative sources)
  • Academic literature integration
  • Book zettels with author information
  • Systematic concept mapping
  • Both supporting and contradicting perspectives

Simple topics (single source, straightforward): Handle directly without full workflow

Core Workflow

1. Research Phase

  • Search multiple source types (academic, books, authoritative sites)
  • Find foundational works and key authors
  • Identify supporting AND contradicting evidence
  • Cross-reference across sources

2. Synthesis Phase

  • Create main page with comprehensive coverage
  • Create supporting pages for related concepts
  • Create book zettels for referenced works
  • Integrate with existing knowledge network

3. Integration Phase

  • Update journal with synthesis summary
  • Link to related existing pages
  • Ensure bidirectional connections

Zettelkasten Structure

Every note should include:

  1. Core Definition - Brief, clear explanation
  2. Background/Context - Origins, key figures
  3. Key Characteristics - Essential features
  4. Applications/Usage - Use cases
  5. Related Concepts - [[links]] to other concepts
  6. Significance - Why it matters
  7. Related Topics - #[[Tag1]] #[[Tag2]]

Linking Strategy

Type Format Examples
People [[Name]] [[Alan Turing]]
Concepts [[Concept]] [[Machine Learning]]
Technologies [[Tech]] [[Kubernetes]]
Tags #[[Tag]] #[[Computer Science]]

Tagging Guidelines

Use 3-7 tags per note:

  • Disciplinary: #[[Computer Science]], #[[Philosophy]]
  • Methodological: #[[Design Patterns]], #[[Best Practices]]
  • Categorical: #[[Tools]], #[[Concepts]], #[[Theories]]
  • Contextual: #[[Business]], #[[Open Source]]

Quality Standards

  • Accurate attribution with source URLs
  • Meaningful bidirectional links (not link spam)
  • Multi-source validation for complex topics
  • Both supporting and critical perspectives
  • Comprehensive coverage of major aspects

File Locations

  • Pages: /logseq/pages/*.md
  • Journals: /logseq/journals/YYYY_MM_DD.md

Book Zettel Template

For referenced books, create dedicated pages:

  • Title as page name
  • Author with credentials
  • Key concepts covered
  • Cross-references to related concepts
  • Tags: #[[Books]], #[[Authors]]