CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

ljg-analogy

基于结构映射理论,为场景或两个对象的差异寻找精妙类比与关系隐喻,保留关键关系、解释增量与迁移边界。USE WHEN 用户说「找个类比」「打个比方」「有什么精妙的隐喻」「用类比讲清两者区别」「换个场景理解」或调用 ljg-analogy。NOT FOR 只解释现成比喻、纯修辞润色、理论定义或把类比当作事实证明。

Quality

90%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

78%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-crafted instruction-only skill body: actionable criteria, concrete tests, and worked examples with clear error-recovery loops. The two weaknesses are the implied (not explicit) step sequence and the two referenced bundle files (Theory.md, EvalCases.json) that are missing from the skill directory.

Suggestions

Add Theory.md and EvalCases.json to the bundle (or remove the links) — both referenced files are absent, so navigation to the theory background and eval cases fails.

Add a brief explicit step sequence near the top (e.g., route request → assess input sufficiency → generate and compare candidates → run acceptance checks → deliver per format) so the workflow order does not have to be inferred from section arrangement.

Deduplicate the caution that analogies cannot prove the target domain, which appears in both Gotchas and 理论与事实边界, to trim token cost.

DimensionReasoningScore

Conciseness

The body is dense and load-bearing — no explanation of concepts Claude already knows — but a few cautions repeat across sections (「不能证明目标域必然如此」 appears in Gotchas and again in 理论与事实边界) and some literary framing in the intro could be trimmed. Efficient with minor over-explanation, matching anchor 4 rather than the every-token-earns-its-place anchor 5.

4 / 5

Actionability

For an instruction-only skill the guidance is fully executable: a routing table for four request types, concrete failure patterns (「『都很复杂』『都是网络』『都需要平衡』适用面太宽」), the vehicle-swap discriminating test (「交换喻体以后,如果不用改变承重关系仍能轻易圆回来…」), a novel-scenario acceptance check, a defined output structure (先给类比本身/让对应运行/落回新增理解), and 3 worked examples covering common cases. Absence of code is not penalized since the guidance is this concrete.

5 / 5

Workflow Clarity

Sections follow a coherent order (routing → input sufficiency → quality criteria → two-object comparison → delivery format → examples) with explicit checkpoints and recovery loops (ask a question when input is a bare word; swap the candidate 「若原候选已不能保留承重关系」; verify uncertain facts online). It falls short of anchor 5 because the sequence is implied by section order rather than stated as explicit steps a reader can follow.

4 / 5

Progressive Disclosure

References are clearly signaled and task-conditioned (「关于定义、非因果关系、隐喻与理论外推有疑问时,读 Theory.md;维护或试跑时使用 EvalCases.json」), but neither Theory.md nor EvalCases.json exists in the bundle — no references/, scripts/, or assets/ directories are present. The progressive-disclosure structure is therefore not realized; both links are broken.

3 / 5

Total

16

/

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.

An exemplary description: concrete actions in third person, explicit USE WHEN with natural quoted trigger phrases and synonyms, a NOT FOR boundary clause, and a distinct niche. It matches the strongest anchor on every dimension.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — 「为场景或两个对象的差异寻找精妙类比与关系隐喻,保留关键关系、解释增量与迁移边界」 — covering single-scene analogies, two-object comparison, and the output constraints to preserve. This matches the anchor for multiple specific concrete actions with comprehensive coverage of the skill's scope, with no vague filler.

5 / 5

Completeness

It clearly answers what (「基于结构映射理论,为场景或两个对象的差异寻找精妙类比与关系隐喻,保留关键关系、解释增量与迁移边界」) and when (explicit USE WHEN clause with concrete quoted trigger phrases), and adds a NOT FOR exclusion clause. This matches the top anchor exactly.

5 / 5

Trigger Term Quality

「USE WHEN 用户说『找个类比』『打个比方』『有什么精妙的隐喻』『用类比讲清两者区别』『换个场景理解』或调用 ljg-analogy」 gives comprehensive natural trigger phrases including synonyms (类比/比喻/隐喻/换个场景) a user would actually say, plus explicit skill-name invocation. No common natural phrasing for this task is missing.

5 / 5

Distinctiveness Conflict Risk

Clear niche (structural-mapping analogy construction) with distinct triggers, and the NOT FOR clause (「只解释现成比喻、纯修辞润色、理论定义或把类比当作事实证明」) separates it from adjacent explanation/rhetoric/definition tasks, minimizing conflict risk.

5 / 5

Total

20

/

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

lijigang/ljg-skills

Path

skills/ljg-analogy/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.