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ecommerce-copywriter

电商图片文案创作技能,支持多品类产品的吸引性文案生成,适用于电商平台的商品营销推广

54

Quality

60%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

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tessl review fix ./skills/ecommerce-copywriter/ecommerce-copywriter/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

60%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.

The body is well-structured and actionable with clear workflows and properly signaled, existing reference files, but it is notably verbose because the same guidance is repeated across four sections. Consolidating the duplicated structure, template, and prompt sections would materially improve token efficiency.

Suggestions

Merge the redundant 智能体提示词 section into 操作步骤, or move it into a reference file, since it restates the same four-paragraph structure, emoji rules, and format requirements.

Remove the duplicate quality criteria by keeping a single 质量标准 checklist and deleting the parallel lists embedded in 使用示例/文案结构模板.

Move the full 文案结构模板 and per-category examples into copywriting_templates.md, keeping only the concise template skeleton inline.

DimensionReasoningScore

Conciseness

The same four-paragraph structure, emoji rules, format requirements, and quality criteria are restated across 操作步骤, 质量标准, 文案结构模板, and 智能体提示词, creating several padded, duplicative sections.

2 / 5

Actionability

Provides concrete structural guidance, an explicit output template, emoji percentage targets (10%-20%), and three worked examples with real sample titles, though guidance is instruction-based rather than copy-paste code.

4 / 5

Workflow Clarity

Both flows (文案生成, 文案优化) are clearly numbered and sequenced, with a 质量标准 section serving as a checkpoint checklist; minor validation gaps exist but no destructive/batch operations require hard validation caps.

4 / 5

Progressive Disclosure

Three real one-level-deep references (copywriting_templates.md, copywriting_guide.md, emoji_library.md) are listed in a clearly signaled 资源索引 section with stated purposes; minor gap is the substantial inline content that duplicates reference material.

4 / 5

Total

14

/

20

Passed

Description

61%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.

The description clearly identifies the e-commerce image-copywriting niche and uses reasonably natural trigger terms, but it lacks an explicit "Use when…" clause and only surfaces the generation action while omitting optimization. Adding concrete trigger phrasing and naming both capabilities would lift completeness and specificity.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user needs e-commerce product image copy, marketing captions, or wants to optimize existing listing copy."

Mention both capabilities in the description (generation and optimization) rather than only "文案生成".

Include a common user phrase or file/format cue (e.g. "详情页文案", "商品图配文") to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ("电商图片文案创作技能") and one concrete action ("多品类产品的吸引性文案生成"), but does not enumerate the optimization capability stated in the body, leaving coverage incomplete.

3 / 5

Completeness

The "what" is clear (e-commerce image copywriting generation), but the "when" is only weakly implied via "适用于电商平台的商品营销推广" with no explicit "Use when…" trigger clause, capping completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ("电商图片文案创作", "文案生成", "商品营销推广"), though a few common variants like "商品文案" or "详情页文案" are missing.

4 / 5

Distinctiveness Conflict Risk

"电商图片文案创作" is a mostly distinct niche with minimal conflict risk, though it could overlap slightly with general marketing/copywriting skills.

4 / 5

Total

14

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
anbeime/skill
Reviewed

Table of Contents

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