rootnode-memory-optimization

rootnode-memory-optimization is a Memory stores & recall skill for AI agents, published by drayline in the rootnode-skills repository on GitHub. Skillspace rates rootnode-memory-optimization D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Rebalances context across Memory, Custom Instructions, knowledge files, and User Preferences in Claude Projects. Audits Memory for redundancy, staleness, and misplacement; prescribes optimization including Codification of stable Memory patterns into explicit User Preferences or Project CI rules. Use when user says "optimize my memory," "what should be in my memory," "trim my knowledge files," "reduce my context usage," "rebalance my project," "what should be in my preferences vs memory," or asks whether something belongs in Memory, a knowledge file, or User Preferences. Also trigger on symptom-phrased: "my project feels bloated," "Claude keeps forgetting things," "my context window keeps hitting limits." Activate whenever Memory-layer balance is the primary concern. Do NOT use for full Project audits (use rootnode-project-audit if available), single-prompt evaluation (use rootnode-prompt-validation if available), or global-layer audits that don't touch Project Memory (use…

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

40

Unproven: rated by static analysis only, not yet compared head-to-head.

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