distill-memory

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Capture durable decisions, lessons, and procedures from Cursor work into atomic memories.

nowledge-co By nowledge-co schedule Updated 6/5/2026

name: distill-memory description: Capture durable decisions, lessons, and procedures from Cursor work into atomic memories.

Distill Memory

Save proactively when the conversation produces a durable fact, preference, decision, plan, procedure, learning, event, or important context. Do not wait to be asked.

When To Save

Good candidates:

  • decisions with rationale
  • repeatable procedures
  • lessons from debugging or incident work
  • durable preferences or constraints
  • plans that future sessions will need to resume

Skip routine fixes, work in progress, simple Q&A, and generic information.

Add vs Update

  • Use memory_add when the insight is genuinely new.
  • If recall already surfaced the same decision, workflow, or preference and the new information refines it, use memory_update instead of creating a duplicate.
  • At the end of substantial work, explicitly review whether one durable memory should be added or updated.

Prefer atomic, standalone memories with strong titles and clear meaning. Focus on what was learned or decided, not routine chatter.

When saving directly, pass unit_type when you know it: fact, preference, decision, plan, procedure, learning, context, or event.

Install via CLI
npx skills add https://github.com/nowledge-co/community --skill distill-memory
Repository Details
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