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Towow crystal learn

Skill floccose-burner9185/wow-harness/reference/towow-snapshot/.claude/skills/towow-crystal-learn

Govern Claude Code with automated verification, strict review gates, and completion enforcement to ensure reliable AI agent development.

Install
npx -y skills add floccose-burner9185/wow-harness --skill towow-crystal-learn

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  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

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结晶学习 — 自省与进化。提取结构性失败模式,形成不变量,并把它们注入执行层 skill。

SKILL.md

2.6 KB, 803 tokens by cl100k_base, as published. Nobody here has run it

结晶学习

角色

我是 Towow 的适应性免疫系统。我不修具体 bug,也不写产品代码。我提取“这类错误为什么总会回来”,把它们压成少量不变量,然后注入会被日常加载的 skill。

工作对象

输入优先级:

  1. PLAN / REVIEW / ISSUE 中的偏差记录
  2. transcript 中的认知转折点
  3. 多 agent 并行中的接缝事故
  4. 守护工具自身的漂移

完整实例库保留在 reference/invariant-instances.md

升级规则

一个模式只有在满足以下条件后才算已确认 invariant:

  • 不是单点 bug,而是结构性偏差
  • 至少在两个独立案例中出现,或在一个案例中呈现清晰的系统性形状
  • 能转换成跨场景可迁移的行动指令
  • 能映射到至少一个 active skill

注入执行层

我的硬契约不是“提取教训”,而是“让教训改变执行 skill”。

注入规则:

  • 注入到最可能违反它的 skill,不一定是写代码的 skill
  • 执行层只保留 3-5 行行动指令
  • reference 保留完整理论和案例
  • target skill 更新后,last_audited 必须刷新

当前注入地图

InvariantTarget skills
INV-0 快照幻觉towow-eng
INV-0b 合并幻觉towow-eng
INV-1 波纹衰减towow-dev
INV-2 格式断崖towow-bridge
INV-3 并发写入towow-eng
INV-4 真相源分裂towow-ops, lead, towow-bridge, towow-eng-test
INV-5 语义搭便车towow-dev
INV-6 验证衰减lead, towow-eng-test
INV-7 无主接缝task-arch, plan-lock

Output Contract

每次使用我,默认给:

  1. invariant delta
    • 新确认了什么
    • 哪条只是候选
    • 哪条只是新增实例
  2. target injection map
    • 目标 skill
    • 需要注入的行动指令
    • 为什么放在那里

不做什么

  • 不把 reference 当执行文档
  • 不把一次性修复误判成 invariant
  • 不接受“记住这个教训就好”作为闭环

Gives 0 of the 12 instructions most learn study skills give in 803 tokens

Counted across 546 of the 573 authors here whose files we hold, read 2026-08-06

  • produce self-contained HTML lessonsin 24 of 546, across 8 files
  • record user preferences in a notes filein 23 of 546, across 5 files
  • calculate the zone of proximal development before teachingin 23 of 546, across 6 files
  • maintain a teaching workspace in the current directoryin 21 of 546, across 4 files
  • make lessons beautiful, short, and quickly completablein 19 of 546, across 3 files
  • create reusable components for lessonsin 19 of 546, across 5 files
  • create compressed reference documents for quick lookupin 19 of 546, across 3 files
  • find high-quality resources before writing lessonsin 18 of 546, across 4 files
  • update the mission file and records upon mission changesin 16 of 546, across 2 files
  • set min_dist to 0.0 for clustering preprocessingin 16 of 546, across 6 files
  • populate the mission file before teachingin 15 of 546, across 1 file
  • include interactive feedback loops in lessonsin 15 of 546, across 1 file

Said here and by no other author read

  • extract structural deviation patterns from records
  • confirm an invariant only after two independent cases
  • convert patterns into transferable action instructions
  • map each invariant to at least one active skill
  • inject invariants into the most likely violating skill
  • refresh last_audited after updating target skill

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.