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multi-expert-analyzer

深度思考分析解答任何领域的棘手问题。当用户提出的问题具备以下任一特征时必须触发此 skill:(1) 涉及多个领域(如"AI 对就业的影响"涉及技术、经济、社会学、哲学);(2) 涉及争议性观点或对立立场(如"比特币是不是泡沫");(3) 需要严谨论证、权威数据支撑、第一性原理推理(如"为什么中国新能源车销量这么猛");(4) 用户明确要求深度分析、多视角交叉验证、给出适用边界和证伪/证明手段。即便用户没有点名"深度分析",只要问题本身具备跨学科、权衡性、需多专家视角的特征,都应触发本 skill,而不是给出浅尝辄止的单线回答。本 skill 不适用于闲聊、事实查询、明确要求简短回复的场景。

67

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

77%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 multi-agent orchestration skill: complete copy-paste prompt templates, explicit parallelism and phase gates, and genuine feedback loops for degraded expert output, mid-flight scope changes, and factual errors. Its weaknesses are length discipline (version meta-commentary and repeated restraint principles) and structure (a 350-line monolith whose large templates should be split into reference files).

Suggestions

Remove the revision meta-commentary ("理由:上一版 SKILL 的'允许'语气太弱…", "写这个 skill 的人(也就是你在执行时)要时刻记住") — the executing model needs the rule, not the history of why the rule changed.

Move the three full prompt templates (expert, fact-checker/red-team, phase-3 rewriter) into references/ files (e.g. references/expert-prompt.md, references/synthesis-prompt.md) and keep SKILL.md as a phase-by-phase overview that reads each template when launching that phase, cutting the main file to well under 150 lines.

Deduplicate the restraint/克制 principle, which appears in phase 2.1, phase 2.2, and the closing quality-constraints section — state it once and reference it from the templates.

DimensionReasoningScore

Conciseness

Most content earns its tokens (the three prompt templates are operational artifacts, not explanations of known concepts), but there is noticeable slack: meta-commentary about previous skill versions inside the phase-3 prompt ("理由:上一版 SKILL 的'允许'语气太弱…", "写这个 skill 的人(也就是你在执行时)要时刻记住"), the 克制/restraint principle restated across phase 2.1, 2.2, and the quality-constraints section, and the phase-4 checklist largely duplicating the phase-3 style rules. This fits "mostly efficient but includes some unnecessary explanation or could be tightened"; it is not a 2 because nothing explains concepts Claude doesn't need taught, and not a 4 because the versioning meta-notes and repeated principles are clearly removable.

3 / 5

Actionability

Fully executable guidance: three complete copy-paste prompt templates with {placeholders}, exact output paths and directory layout, a mkdir command ("mkdir -p markdown/experts markdown/svg markdown/final"), a precise SVG filename format with worked examples ("价值链-20260712-143052.svg"), and concrete wording examples for reflective asides ("顺带提醒一下" / "凡事要辩证的看"). This is an instruction-only skill and the guidance meets the anchor-5 standard: specific, complete, and covering the common cases without pseudocode.

5 / 5

Workflow Clarity

The sequence is unambiguous — 阶段 0 解析 → 阶段 1 parallel experts ("所有专家在同一个 message 里调用"), → 阶段 2 parallel fact-checker + red-team → 阶段 3 fresh rewriter agent → 阶段 4 self-review — with explicit completion gates between phases, self-validation steps inside each expert prompt, a phase-4 review checklist, and explicit error-recovery loops ("专家稿件质量严重不达标 → 回到阶段 1 让该专家重写", "用户中途改问题方向 → 终止流程回到阶段 0", major factual error → rewrite). Validation, feedback loops, and fallbacks all match the anchor-5 example.

5 / 5

Progressive Disclosure

The file is a ~350-line monolith with good section headers and an ASCII workflow overview, but no bundle files exist and all three full prompt templates plus the long phase-3 style guide are inlined in SKILL.md — content that would conventionally live in reference files loaded per phase. This matches "some structure but could be better organized… content that should be separate is inline". It is not a 4–5 because the phase-3 template alone (style, content, reflection, figures rules) is a self-contained style guide that belongs in references/, and the simple-skill exception (under 50 lines, no external references needed) does not apply to a file of this size.

3 / 5

Total

16

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20

Passed

Description

86%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 strong description with exemplary trigger engineering: four numbered trigger conditions with natural example questions, an explicit catch-all for un-named cross-disciplinary questions, and clear exclusions. The only weakness is that the capability statement is generic — it never states the skill's actual mechanism (multi-agent expert team, fact-check, red-team, article rewrite).

DimensionReasoningScore

Specificity

The capability statement is a single generic clause ("深度思考分析解答任何领域的棘手问题" — deep-think, analyze, and answer thorny problems in any domain); it never mentions the skill's concrete machinery (orchestrating 1–4 domain-expert agents, fact-checker, red-team, article rewrite), so it matches "names domain and 1–2 concrete actions, but not comprehensive". It is not a 2 because the domain is clearly framed (cross-disciplinary analytical questions) and one concrete action (deep multi-perspective analysis) is stated; it is not a 4–5 because no enumeration of the specific actions the skill actually performs appears.

3 / 5

Completeness

Both questions are answered explicitly: what ("深度思考分析解答任何领域的棘手问题") and when (four enumerated trigger conditions with concrete example prompts, an explicit extension to un-named deep-analysis requests, and an explicit exclusion list). The when-clause is more explicit than the anchor-5 example's ("Use when working with PDF files or the user mentions PDFs"), with numbered triggers and both positive and negative boundaries. The what is brief but explicit, so this sits at 5 rather than 4, where the anchor's weakness is in the when-clause — the stronger dimension here.

5 / 5

Trigger Term Quality

Comprehensive natural trigger coverage with concrete example questions users would actually ask ("AI 对就业的影响", "比特币是不是泡沫", "为什么中国新能源车销量这么猛") plus natural phrases like "深度分析", "多视角交叉验证", "证伪", "适用边界", and even synonym coverage via clause (4) for users who never say "deep analysis". This matches the anchor-5 example's breadth ("PDF files, PDFs, forms, .pdf") — including variations and a no-trigger case (闲聊/事实查询/明确要求简短回复).

5 / 5

Distinctiveness Conflict Risk

The enumerated triggers (cross-disciplinary, contested positions, first-principles reasoning, falsifiability) carve out a fairly distinct niche, and the explicit exclusions reduce mis-fires. However, "深度分析任何领域的棘手问题" overlaps with general deep-research/web-research skills, so "mostly distinct; minor overlap risk with closely related skills" fits. Not a 5 because a generic hard-question phrasing could plausibly route to a research or analysis skill instead.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 missing

Warning

Total

15

/

16

Passed

Repository

digoal/blog

Path

skills/multi-expert-analyzer/SKILL.md

Reviewed

Table of Contents

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