Distill Memory

nowledge-co/community/nowledge-mem-cursor-plugin/skills/distill-memory

作者 nowledge-co1f4d7eb61466dbfc93ce8d7a0a806c4d4a196dd0無授權條款收錄於 2026年10月9日更新於 2026年10月9日

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

AI 產生的概覽

把工作階段中可長期保留的決策、經驗與流程濃縮成原子記憶項目。

功能
此技能指示代理在工作過程中主動儲存可長期保留的事實、偏好、決策、計畫、流程、學習、事件與脈絡。它說明哪些內容值得保存、何時新增記憶而非更新既有記憶,以及如何讓記憶保持原子化、獨立且標題明確。它也列出直接儲存時可傳入的 unit_type 值。
適用情境
適用於在重要工作過程中或結束後出現可長期保留的決策、可重複使用的流程、除錯經驗、偏好、限制或可接續的計畫時。它強調主動執行,而非等待明確要求,同時略過例行修正、進行中的工作、簡單問答與一般資訊。
執行需求
需要可用的記憶工具,例如 memory_add 與 memory_update。不隨附指令碼,僅為指示性內容。

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.

來源與署名

來源:nowledge-co/community位於nowledge-mem-cursor-plugin/skills/distill-memory提交1f4d7eb

授權條款: 無授權條款

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