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.mdsource 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
- Use
to find notes not yet consolidated into frameworksfile-search - Use
to load candidate notes and existing frameworksfile-read - Cluster related notes by topic similarity
- Build framework structure: concept map, principles, examples, applications
- Use
to create or update frameworks in 05-knowledgefile-write - Add cross-references between new and existing frameworks
- Use
to commit consolidated frameworksgit-commit
Examples
{ "vaultPath": "./cog-vault", "mode": "knowledge-consolidation", "userName": "Alex", "targetQuality": 80 }