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propagate-change

Productivity
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Propagate staleness from a changed note through the Brain Dependency Graph - shows which downstream notes need review

QUICK START

How to use this skill

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  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/Abilityai/cornelius/blob/HEAD/.claude/skills/propagate-change/SKILL.md

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Propagate Framework/Note Change

When a note is substantially edited, this skill computes which downstream notes may be stale and need review. Uses the Brain Dependency Graph's staleness propagation engine with edge-type decay, distance decay, and hub dampening.

State Dependencies

SourceLocationReadWriteDescription
Enrichmentsresources/brain-graph/data/graph_enrichments.json✓✓Updated staleness scores
LBS Graphresources/local-brain-search/data/brain_graph.pkl✓NetworkX graph

Process

Step 1: Run propagation

cd $PROJECT_ROOT/resources/brain-graph
../local-brain-search/venv/bin/python cli.py propagate "<NOTE_NAME>"

Optional: specify change magnitude (0.0-1.0) for partial changes:

../local-brain-search/venv/bin/python cli.py propagate "<NOTE_NAME>" --magnitude 0.5

Step 2: Present affected notes

Show the user which notes are flagged for review, sorted by staleness score.

For each affected note, explain:

  • Why it's flagged (which upstream change, through what edge type)
  • Suggested action: review, update, or mark as OK

Step 3: Offer to inspect specific notes

If the user wants details on any affected note:

../local-brain-search/venv/bin/python cli.py inspect "<NOTE_NAME>"

When to Use

  • After substantially editing a framework or key insight note
  • When the user says they've updated their thinking on a topic
  • After ingesting new source material that contradicts existing notes