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systematic-optimization

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。

Quality

94%

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is systematic-optimization in ooooooooooooooooooop/agent-tools

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered methodology skill body: explicit sequence, validation gates, feedback loops, and an output contract make it highly actionable despite having no code. The weaknesses are a dangling reference to a nonexistent examples/ directory, a monolithic layout, and a trimmable table mapping to frameworks Claude already knows.

Suggestions

Create the referenced examples/ directory (or remove the '相关示例见 examples/' line) — the body's only external reference currently points at a nonexistent path.

Move the '与经典方法论的关系' comparison table and the empirical 约定层 case evidence into a one-level-deep reference file (e.g., references/methodology-mapping.md) and link it from the body, slimming SKILL.md toward an overview.

Consolidate the 约定层不执行 argument, which currently appears in step 2, step 5, and the core principles, into the step-5 constraint-layering table plus a single principle statement.

DimensionReasoningScore

Conciseness

The body is dense and imperative with almost no filler ('没有数字的"问题"是感觉。', '改动落地 ≠ 已生效。'), but the '与经典方法论的关系' table (DMAIC/丰田/PDCA mapping) explains frameworks Claude already knows, and the 约定层 point is repeated across steps 2, 5, and the core-principles section. Efficient overall with minor trimmable over-explanation; not 5, but well above the padded verbosity of anchor 3.

4 / 5

Actionability

For an instruction-only, domain-agnostic methodology the guidance is maximally concrete: judgment questions ('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?'), decision tables with criteria, session-aware gate rules ('决策方在场→必须展示并等待确认…高风险改动仍须停下等待人工确认'), and a literal copy-paste 输出契约 template. Per the rubric's scoring note, absence of code in an instruction-only skill is not penalized when guidance is this actionable.

5 / 5

Workflow Clarity

Nine explicitly numbered steps (0–9) with validation checkpoints at every risky point: the step-6 decision gate, step-7 '跑完相关检查…全部通过才算实施完成', the step-8 三件套 (物证/加载/行为), and an explicit error-recovery loop ('若未改进,回到第 2 步重新找根因') plus the 输出契约 checklist. This matches the top anchor's clear sequence + explicit validation + feedback loops + checklist.

5 / 5

Progressive Disclosure

Sections are clearly organized, but the body is a ~160-line monolith and its only external pointer is broken: '相关示例见 `examples/`' refers to a path that does not exist in the bundle (no examples/, references/, scripts/, or assets/ directories are present). The classic-methodology comparison table and empirical case notes are inlined content that could live in a separate file. Not anchor 4 because the sole reference is dangling and content that should be separate is inline; not anchor 2 because structure and signaling are otherwise good.

3 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A dense, high-signal description: a fully enumerated action pipeline, explicit what/when/when-not boundaries, and verbatim natural trigger phrases. It is written in an impersonal nominal style (no first/second person) and contains no fluff despite its compression.

DimensionReasoningScore

Specificity

The description lists ~10 concrete, named actions ('量化基线→全量列问题→根因分类→结构性方案→借鉴同类方案→归纳取舍→…→实施→验证生效→度量闭环') plus measurable principles ('优化必须可度量'), giving comprehensive coverage of the skill's behavior. It does not fit anchor 4 because there is no identifiable gap in the action coverage for its domain-agnostic methodology scope.

5 / 5

Completeness

It explicitly answers what (the full nine-stage pipeline plus core principles), when ('用于用户要求"优化"…等任何领域的系统性改进…时'), and when-not ('不用于单点小修复…不用于只读审查不出方案的场景'). Both what and when are explicit with concrete trigger phrases, matching the top anchor; anchor 4 would require the 'when' to be less specific.

5 / 5

Trigger Term Quality

Natural user phrasings are quoted verbatim — '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' and '接手反复失败的任务' — covering synonyms and colloquial variations a user would actually say. Not anchor 4: no common variant of these trigger phrases is obviously missing.

5 / 5

Distinctiveness Conflict Risk

It carves a clear niche (systematic, quantified problem-solving across domains) and explicitly rules out the adjacent cases by name ('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'). Minimal conflict risk; not anchor 4, which would require only minor overlap risk rather than explicit demarcation.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

ooooooooooooooooooop/personal-ai

Path

skills/systematic-optimization/SKILL.md

Reviewed

Table of Contents

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