Distill Memory

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

作者 nowledge-co1f4d7eb61466dbfc93ce8d7a0a806c4d4a196dd0无许可证收录于 2026年10月9日更新于 2026年10月9日

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

AI 生成的概览

把工作会话中可长期保留的决策、经验与流程提炼为原子记忆条目。

功能
该技能指示智能体在工作过程中主动保存可长期保留的事实、偏好、决策、计划、流程、经验、事件和上下文。它说明了哪些内容值得保存、何时新增记忆而非更新已有记忆,以及如何保持记忆原子化、独立且标题清晰。它还列出了直接保存时可传入的 unit_type 取值。
适用场景
适用于在重要工作过程中或结束后出现可长期保留的决策、可复用流程、调试经验、偏好、约束或可续接计划时。它强调主动执行而非等待明确要求,同时跳过常规修复、进行中的工作、简单问答和通用信息。
运行要求
需要可用的记忆工具,例如 memory_add 和 memory_update。不附带脚本,仅为说明性指令。

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.

来源与署名

来源:nowledge-co/community位于nowledge-mem-cursor-plugin/skills/distill-memory提交1f4d7eb

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架