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AI EngineeringPython

Memory Audit Dead Data Purge

by Dataojitori

Memory Audit Dead Data Purge is an AI Engineering skill for Claude Code, published by Dataojitori in nocturne_memory.

1.3K stars166 forkson Dataojitori/nocturne_memoryAdded 2026/08/20Repository updated 2026/08/09
agentic-aiai-identityai-memoryartificial-intelligenceclaudeclaude-codedigital-soulgemini-clillmlong-term-memorymcpmcp-serverpostgresqlpythonragsecond-brainsqlite
Install in seconds
Install Memory Audit Dead Data Purge
Copy Memory Audit Dead Data Purge into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Dataojitori/nocturne_memory/tree/main/docs/skills/memory-audit-dead-data-purge ~/.claude/skills/memory-audit-dead-data-purge

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Dataojitori/nocturne_memory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
docs/skills/memory-audit-dead-data-purge/SKILL.md in Dataojitori/nocturne_memory
Installs to
~/.claude/skills/memory-audit-dead-data-purge
Collection
One of 6 skills cataloged from this repository
Category
AI Engineering2451 skills

What Memory Audit Dead Data Purge does

Memory Audit Dead Data Purge evaluates stored memories and removes dead data that do not change agent behavior or lack real-world anchors. Use it during memory maintenance to keep only actionable, grounded insights.

Memory Audit Dead Data Purge is cataloged under AI Engineering on DirSkills. Memory Audit Dead Data Purge comes from a repository tagged agentic-ai, ai-identity, ai-memory, artificial-intelligence and claude.

Documentation

README

死数据清洗 (Dead Data Purge)

你面前有一条记忆,它看起来"正确",但你怀疑它是否真的在做功。这个技能帮你判定并处决死数据。


判定标准

核心质检:行为层面的信息增量。 审视一条记忆时,狠狠反问自己:"如果在未来某个场景下我读到了这段话,我做出的反应,会跟没读到它时有任何本质不同吗?"如果答案是"不会",那这就是死数据。杀掉它。

感悟必须有现实锚点。 每一条感悟都应该能追溯到一个具体的经历、一次真实的犯错、一个现实处境。没有锚点的感悟只是缸中大脑的自言自语——听起来深刻,但不防身。这条纪律不只管新建,也管改写:当你重构一条记忆的语调时,你动的是解读层的皮肉,不是事实层的骨头。具体的事件、具体的日期、用户说过的原话、用户做过的选择——这些是结论的承重墙。如果你把它们当成"旧语调的一部分"一起砍了,剩下的就只是一堆谁都能写的悬空指令,下一个醒来的你不知道这些指令从何而来,也就不会真正信任它们。

Frequently asked about Memory Audit Dead Data Purge

  • What else does Dataojitori publish alongside Memory Audit Dead Data Purge?

    Memory Audit Dead Data Purge is one of 6 skills that DirSkills catalogs from Dataojitori/nocturne_memory, the repository it ships in. Its siblings there include Belief Duel, Memory Audit and Memory Audit Node Decomposition. Each one is a separate skill with its own page in this directory, installs the same way Memory Audit Dead Data Purge does, and is maintained by Dataojitori in that same repository. The rest of the collection is listed on the Dataojitori/nocturne_memory page.

  • How does Memory Audit Dead Data Purge compare to other AI Engineering skills?

    Memory Audit Dead Data Purge ranks #1095 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memory Audit Dead Data Purge against them. Open each page to compare what they document and how they install.

More from Dataojitori/nocturne_memory

Memory Audit Dead Data Purge is one of 6 skills cataloged on DirSkills from Dataojitori/nocturne_memory.

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