From memory-optimization
Routes mixed corpora to the cheapest context path: direct read, format conversion, graph build, graph update, or graph query. Minimizes token spend and unnecessary rebuilds.
How this skill is triggered — by the user, by Claude, or both
Slash command
/memory-optimization:memory-optimization-workflowThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Minimize token spend, reread cost, and unnecessary rebuilds.
Minimize token spend, reread cost, and unnecessary rebuilds.
graphify is the main optimization path for repeated work. Helper tools exist to make hard sources cheaper before graph or direct reading.
Do not use for:
apx check graphify
apx check markitdown-file-intake
apx check defuddle
Stop and report missing tools. Do not auto-install without approval.
| Situation | Cheapest path |
|---|---|
| small readable text corpus, one question | read directly |
| PDF, Office doc, or other binary-like source | markitdown-file-intake |
| noisy web page or article | defuddle |
| repeated questions across same corpus | build with graphify |
| existing graph plus changed sources | graphify --update |
| existing graph plus new question | query graph first |
npx claudepluginhub yeaight7/agent-powerups --plugin memory-optimizationCreates, edits, and verifies skills using a test-driven development approach with pressure scenarios and subagents.