Claude-skill-registry knowledge-synthesis

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
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/knowledge-synthesis" ~/.claude/skills/majiayu000-claude-skill-registry-knowledge-synthesis && rm -rf "$T"
manifest: skills/data/knowledge-synthesis/SKILL.md
source content

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

TypeFormatExamples
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]]