systematic-optimization SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
systematic-optimization from ooooooooooooooooooop/personal-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ooooooooooooooooooop/personal-ai/systematic-optimization@git:20260824.592c7a2Pins git:20260824.592c7a2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ooooooooooooooooooop/personal-ai
- Path
skills/systematic-optimization/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260824.592c7a2, committed Aug 24, 2026
- First version recorded
- Aug 24, 2026
- Size
- 9,867 bytes
- Repository stars
- 4
- License
- MIT
系统化问题解决与优化流程（领域无关）：量化基线→全量列问题→根因分类→结构性方案（拒绝临时补丁）→借鉴同类方案→归纳取舍→展示计划确认实施→实施→验证生效→度量闭环。核心原则：规则/流程存在≠被执行，能落到"无法绕过的机制"就不写建议；优化必须可度量。 用于用户要求"优化""改进""复盘""为什么反复出问题""效率低/成本高/质量差/总是复发"等任何领域的系统性改进，或接手反复失败的任务时。 不用于单点小修复（用 minimal-implementation）；不用于只读审查不出方案的场景。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 系统化问题解决与优化流程（Systematic Problem-Solving & Optimization） > 方法骨架与业界经典问题解决法同构（见文末对照表），本 skill 在经典流程上补充了两次实践沉淀的关键增量：**量化先行**（第 0 步）与**约束分层**（第 5 步）——后者回答"为什么改了还会复发"：方案若落在"靠人遵守"的约定层，就必然复发。 ## 触发边界 - 用户说"优化 / 改进 / 复盘 / 为什么反复出问题 / 效率是不是低 / 成本是不是高 / 质量是不是差 / 总在重复犯同一个错"； - 接手一个反复失败或长期停滞的任务/流程/系统； - 审查发现同一类问题反复出现（反模式重演）。 ## 流程（九步） ### 第 0 步：证据先行，量化基线 **没有数字的"问题"是感觉。** 先量化再下结论： - 从日志、监控、账单、转录、数据中提取指标：频次、时长、成本、等待时间、失败率、资源消耗、重复次数； - 用时间线重建事件流，找"长时间无产出/高消耗"的段； - 建立优化前的基线数字（第 8 步同口径对比用）。 - 反例：不量化就下结论（"好像很慢""感觉浪费"）→ 无法证明改进，也无法定位根因。 ### 第 1 步：发现所有问题（全量列举） - 不修修补补，先把问题**全部**列出（悬挂、空转、重复、超支、返工、错误率……）； - 每个问题标注证据（哪段日志/哪个数字/哪个事件）； - 区分表象与真问题：表象是症状，真问题是"缺什么机制导致症状反复出现"。 ### 第 2 步：寻找根因（分类定位） 根因分三类，处理方式不同： | 根因类型 | 特征 | 对策 | |---|---|---| | 缺约束 | 根本没有对应的规则/流程/检查 | 补约束 | | 有约束不执行 | 规则/流程存在但当事人没遵守 | 加执行点检查（checklist、门禁） | | **无法强制执行** | 约束靠"记得遵守"，没有系统拦截 | **改系统/工具/平台层做强制约束（唯一真正根治）** | 判定方法：对每个问题问"约束存在吗？存在但没执行吗？为什么没执行——是不知道、忘了、还是没法强制？"。第三类是复发问题的常见真根因：**规则写在哪不重要，规则拦不拦得住才重要**。 ### 第 3 步：寻找解决方案（结构性优先，拒绝临时） 每提出一个方案先问：**这是临时方案还是结构性方案？** - 临时方案：手动清理一次、这次注意点、下次记得、特例处理……（会复发） - 结构性方案：自动回收、预算上限、参数必填、流程节点拦截……（系统无法绕过） **追求大局观**：不从单个问题打补丁，而是看"这一类问题"缺什么结构性机制。临时方案只用于止血，必须伴随结构性方案，否则问题必然复发。 …
Read the whole file at its exact version.
How to install
mdr add ooooooooooooooooooop/personal-ai/systematic-optimization@sha256:c09428d040429cfaThe line at the top of this page pins the label git:20260824.592c7a2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ilz2yzbfl5hsfoty)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Aug 24, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260824.592c7a2 latest | 2026-08-24 | 592c7a2 | 9,867 B | A | view · diff |
| git:20260824.3f9f760 | 2026-08-24 | 3f9f760 | 7,771 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9867 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ooooooooooooooooooop/personal-ai · 4 stars · license MIT · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ilz2yzbfl5hsfoty GET https://markdownregistry.com/api/v1/resolve?ref=ooooooooooooooooooop/personal-ai/systematic-optimization GET https://markdownregistry.com/api/v1/blob/c09428d040429cfa71fc15179849cc225e31abe44524f866213889a9fdd9803c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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