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ecommerce-copywriter

电商运营与内容创作者在需要为多品类商品创作或优化营销图片文案时使用。自动提炼核心卖点,生成带emoji的吸睛标题与直击痛点的场景化正文,一键产出高转化率电商文案,省时省力大幅提升商品点击与购买转化!

61

Quality

71%

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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 delivers genuinely actionable, well-sequenced guidance with concrete formats, emoji rules, worked examples, and a well-wired set of one-level-deep reference files. Its dominant flaw is redundancy: the "智能体提示词" section and "文案结构模板" restate earlier sections nearly verbatim, inflating the file by roughly a third and hurting token efficiency. No explicit validation checkpoint closes the workflows.

Suggestions

Delete or drastically condense the "智能体提示词" section (lines 209-274) — it duplicates 创作原则/注意事项, 标题创作技巧, emoji principles, and 质量标准 almost verbatim; if a persona prompt is needed, move it to a reference file.

Remove the "文案结构模板" section or replace it with a single pointer to the structure already defined in step 4, eliminating the verbatim repetition.

Add an explicit final validation step to both workflows (e.g., '对照质量标准逐项检查标题/正文/emoji/格式后再交付') to close the loop against the existing quality checklist.

Include one complete finished sample output (title + four paragraphs) instead of only key-point summaries in the examples.

DimensionReasoningScore

Conciseness

The body is noticeably padded with whole sections that restate earlier content: the 65+ line "智能体提示词" section repeats the 创作原则 (identical to 注意事项), 标题创作技巧 (identical to step 3), emoji principles (identical to step 5), and 质量标准 (identical to the standalone 质量标准 section); the "文案结构模板" likewise restates step 4 verbatim. Roughly a third of the file is redundant, matching anchor 2 ('several unnecessary explanations or padded sections') rather than anchor 3's 'mostly efficient'.

2 / 5

Actionability

The guidance is concrete and executable for an instruction-only skill: exact output formats ("**🎉 emoji + 产品昵称:核心卖点**", image-link syntax), a fully specified four-paragraph body structure, emoji density targets (10%-20% with placement rules), and three worked examples with actual sample titles ("🌙 智梦眼罩:夜的守护者"). It is not a 5 because no complete end-to-end sample output is shown — the examples list key points rather than the finished copy the user would see.

4 / 5

Workflow Clarity

Two clearly sequenced workflows (生成 and 优化) with well-defined numbered steps, plus a closing 质量标准 section that functions as a quality checklist across title, body, emoji, and format. It falls short of anchor 5 because there is no explicit validation/review step telling the agent to check output against the quality standards before delivering; this is not a destructive or batch operation, so no cap applies.

4 / 5

Progressive Disclosure

Structure is good: three real, one-level-deep reference files (copywriting_templates.md, copywriting_guide.md, emoji_library.md — all present in the bundle) are clearly signaled in a 资源索引 section with each file's stated purpose, and are also linked inline at point of use. It is not a 5 because substantial template/standard content (the 智能体提示词 section, the repeated structure template) is inlined in SKILL.md where it duplicates or belongs in the reference files.

4 / 5

Total

14

/

20

Passed

Description

83%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: it names concrete capabilities (selling-point extraction, emoji headline generation, scenario-based body copy, create-or-optimize), targets a clear audience, and includes an explicit use-when clause. Its main weakness is the trailing marketing exclamation ("一键产出...大幅提升...转化!") which is over-claiming fluff rather than capability description, and a few natural trigger synonyms are absent.

Suggestions

Trim the promotional tail clause ("省时省力大幅提升商品点击与购买转化!") — it is unverifiable over-claim, not a capability, and adds no trigger value.

Add common natural trigger synonyms such as 详情页文案 (detail-page copy), 商品描述 (product description), or 种草文案 to widen keyword coverage.

State the optimization capability as concretely as the generation capability (e.g., what gets rewritten: titles, body structure, emoji density).

DimensionReasoningScore

Specificity

The description lists several concrete actions — "自动提炼核心卖点" (extract core selling points), "生成带emoji的吸睛标题" (generate emoji headlines), "直击痛点的场景化正文" (pain-point scenario body copy), and "创作或优化营销图片文案" (create or optimize marketing image copy). It is not a 5 because the closing clause "省时省力大幅提升商品点击与购买转化!" is benefit fluff/over-claim rather than a capability, and the optimization workflow is only named, not spelled out.

4 / 5

Completeness

It explicitly answers both questions: what it does ("提炼核心卖点...生成...标题...正文...产出高转化率电商文案") and when to use it ("电商运营与内容创作者在需要为多品类商品创作或优化营销图片文案时使用" — an explicit 'use when' clause naming audience and trigger). The trigger phrase is concrete, matching the anchor-5 pattern; the score-4 anchor's 'when could be more explicit' does not apply here.

5 / 5

Trigger Term Quality

Natural terms a Chinese e-commerce user would say are present: "电商" (e-commerce), "营销图片文案" (marketing image copy), "标题" (headline), "卖点" (selling points), "文案" (copy), plus both creation and optimization verbs. A few natural variants are missing (e.g., 详情页文案, 商品描述, 种草文案), keeping it below anchor 5; it is clearly above anchor 3's 'some relevant keywords' level.

4 / 5

Distinctiveness Conflict Risk

The niche is clear — e-commerce product marketing copy with emoji headlines and structured body text — and unlikely to trigger for unrelated skills. Minor overlap risk remains with general copywriting/marketing-writing skills, which matches anchor 4 ('mostly distinct; minor overlap risk') rather than anchor 5's minimal-conflict bar.

4 / 5

Total

17

/

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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