Babysitter cog-knowledge-consolidation

Build structured knowledge frameworks from scattered vault notes with source attribution

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/methodologies/cog-second-brain/skills/knowledge-consolidation" ~/.claude/skills/a5c-ai-babysitter-cog-knowledge-consolidation && rm -rf "$T"
manifest: library/methodologies/cog-second-brain/skills/knowledge-consolidation/SKILL.md
source content

COG Knowledge Consolidation Skill

Build structured knowledge frameworks from scattered notes across the vault, preserving source attribution and maintaining cross-references.

Capabilities

  • Scan vault sections for unconsolidated notes
  • Cluster related notes into coherent themes
  • Build structured frameworks: concept maps, key principles, examples, applications
  • Cross-reference with existing frameworks in 05-knowledge
  • Preserve source attribution through consolidation
  • Quality-gated framework building with iterative refinement
  • Identify knowledge gaps needing additional capture

Tool Use Instructions

  1. Use
    file-search
    to find notes not yet consolidated into frameworks
  2. Use
    file-read
    to load candidate notes and existing frameworks
  3. Cluster related notes by topic similarity
  4. Build framework structure: concept map, principles, examples, applications
  5. Use
    file-write
    to create or update frameworks in 05-knowledge
  6. Add cross-references between new and existing frameworks
  7. Use
    git-commit
    to commit consolidated frameworks

Examples

{
  "vaultPath": "./cog-vault",
  "mode": "knowledge-consolidation",
  "userName": "Alex",
  "targetQuality": 80
}