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nature-polishing

Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.

69

Quality

85%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

70%

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

Well-structured with strong file navigation, clear workflow sequencing, and explicit validation checks, but it carries notable token weight explaining academic-writing fundamentals Claude already knows and lacks any worked before/after example to make the polishing rules fully concrete.

Suggestions

Trim standard academic-writing exposition Claude already knows (what each section does, what a strong title is, what needs citation, basic proofreading) and keep only the skill-specific strategy, rules, and AI boundaries to improve conciseness.

Add a concrete before/after worked example showing the polishing rules applied to a real paragraph, so the guidance demonstrates the transformation rather than only stating rules.

Move the per-section responsibility details (Introduction/Results/Discussion/Methods) into a reference file and keep the body as a concise overview, reducing inline concept explanation.

DimensionReasoningScore

Conciseness

The body is long and explains standard academic-writing concepts Claude already knows (e.g. 'Results are a summary of the data collected', what a good title should do, what needs citation, basic proofreading), so it is mostly efficient but could be tightened. Not a 1 because genuine skill-specific material (strategy, AI traffic-light boundaries, Chinese mode, output format) earns its place; not a 3 because much of the per-section exposition restates known conventions.

2 / 3

Actionability

Concrete rules are present (sentence word range '10-30', banned Methods phrases, Results vs Discussion verb lists, abstract formula, explicit output format, file-routing table), but the body includes no worked before/after polishing example showing the rules applied. The guidance is strong yet incomplete relative to a fully demonstrated, copy-paste-ready standard.

2 / 3

Workflow Clarity

Clear sequencing via the diagnosis priority order ('paper type -> section job -> paragraph logic -> claim/evidence/boundary -> sentence polish') and numbered writing orders, plus explicit validation steps ('Always run an overclaim check here') and a proofreading checklist. Not capped at 2 because prose polishing is not a destructive/batch operation and the checkpoints are explicit rather than implicit.

3 / 3

Progressive Disclosure

A well-signaled 'When to open extra files' table routes each task to one of five reference files, all of which exist and are only one level deep with no nested chaining; overview content stays inline while detail is split out.

3 / 3

Total

10

/

12

Passed

Description

100%

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: concrete actions, explicit 'Use whenever' trigger guidance covering the natural section-type vocabulary, and a distinct academic-polishing niche. It uses third-person/imperative voice with no first- or second-person padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Polish, restructure, or translate academic prose into Nature-leaning English') alongside the supporting materials used, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what it does (polish/restructure/translate using named strategy and phrasebank sources) and when to use it via the 'Use whenever the user asks to polish...' trigger clause.

3 / 3

Trigger Term Quality

Includes natural terms a user would actually say ('polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft', 'publication-quality English'), giving broad coverage rather than jargon.

3 / 3

Distinctiveness Conflict Risk

The Nature-leaning academic-English niche with section-specific triggers and the Chinese-draft case is a clear, distinct scope unlikely to fire for general writing skills.

3 / 3

Total

12

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
Galaxy-Dawn/claude-scholar
Reviewed

Table of Contents

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