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阿囤囤风格小红书封面提示词生成。用于AI工具、效率方法、产品测评、教程部署、个人经验、播客推荐、职场认知类内容的爆款竖版封面设计。特点是真人出镜、超大柔和浅黄(#FDFFA7)/白色中文标题、粗黑描边、人物抠图描边、绿色勾选清单、emoji贴纸、箭头标注、高对比高密度构图。关键词:小红书封面、爆款封面、阿囤囤风格、AI教程封面、产品测评封面、封面提示词。

67

Quality

80%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 highly actionable, well-structured prompt-generation skill with concrete per-style templates and a clear interactive Q&A workflow. Main weakness is repeated cross-template phrasing (notably the #FDFFA7底板 rule) that inflates the token budget.

Suggestions

State the #FDFFA7/底板 rule once in 通用视觉规范 and reference it from templates instead of repeating the full sentence in all 8 templates.

Add an explicit pre-generation checkpoint that confirms all required answers (风格, 图1, 标题) are collected before emitting the prompt.

Consider moving the 8 per-style prompt templates into a references/ file indexed by style name to shorten SKILL.md while keeping them one level deep.

DimensionReasoningScore

Conciseness

The bulk is necessary domain knowledge Claude does not have (阿囤囤 style, #FDFFA7 rules, per-style templates), but the #FDFFA7/底板 rule and general-vs-per-style visual specs are repeated across nearly every template, adding avoidable tokens.

3 / 5

Actionability

Each of the 8 styles ships a copy-paste-ready prompt template with specific placeholders, composition percentages (35%-55%), fixed color codes (#FDFFA7), and explicit element lists — fully executable guidance covering all style variants.

5 / 5

Workflow Clarity

A clearly sequenced 8-question flow with explicit branching rules ('一次只问一个问题', skip already-provided info) and a final '拿到所有答案后' generation gate, but no explicit checkpoint verifying all answers were collected before generating.

4 / 5

Progressive Disclosure

Well-organized into clear sections (问题流程, 通用视觉规范, 8 风格模板, 写提示词规范) with no nested references; inlining all templates is reasonable for runtime selection, though the long single file could split the 8 templates into reference files.

4 / 5

Total

16

/

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 specific, well-keyworded description that clearly communicates a distinctive niche and concrete visual deliverable. It would benefit from an explicit 'Use when…' trigger clause to strengthen the when-guidance.

Suggestions

Add an explicit 'Use when the user wants to create Xiaohongshu/小红书 cover images…' trigger clause so the when-guidance is phrased as a user-intent condition rather than only content categories.

Frame the single generation action more concretely (e.g., 'Generates ready-to-use vertical cover prompts for image models') so the core action reads as a verb-led capability.

DimensionReasoningScore

Specificity

Names a concrete deliverable (封面提示词生成) and lists many specific style attributes such as '真人出镜、超大柔和浅黄(#FDFFA7)/白色中文标题、粗黑描边、人物抠图描边、绿色勾选清单', giving comprehensive coverage of the visual spec though centered on one main action.

4 / 5

Completeness

Clearly states what (阿囤囤风格小红书封面提示词生成) and gives a 'when' via '用于AI工具、效率方法…类内容的爆款竖版封面设计', but the when is content-category based rather than an explicit 'Use when the user…' trigger phrase.

4 / 5

Trigger Term Quality

Includes an explicit '关键词:小红书封面、爆款封面、阿囤囤风格、AI教程封面、产品测评封面、封面提示词' plus content-category terms (AI工具、效率方法、产品测评) that users would naturally say when needing this skill.

5 / 5

Distinctiveness Conflict Risk

The named niche '阿囤囤风格小红书封面' with a specific color code and distinctive trigger keywords makes it highly distinct with minimal overlap risk against other skills.

5 / 5

Total

18

/

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
anbeime/skill
Reviewed

Table of Contents

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