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dream-video-prompt-generator

电商运营与内容创作者在制作数字人带货短视频时,用本技能一键生成即梦视频中英文提示词。依托四大智能体协同与专属公式,确保人物与情绪高度一致,完美适配5s带货场景,高效产出高质量分镜脚本,让视频制作事半功倍!

67

Quality

81%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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 content is highly actionable with a clear sequenced workflow, explicit validation/feedback loops, and well-structured progressive disclosure to real bundle files. Its main weakness is redundancy — the 注意事项 and 使用示例 sections repeat material already present in the workflow and examples.

Suggestions

Remove or compress the 注意事项 section, which restates the prompt formula and consistency rules already given in the workflow steps.

Shorten 使用示例 to reference the existing workflow rather than re-listing all five steps per scenario.

Consolidate the repeated per-scene JSON schemas into a single canonical schema to reduce token overhead.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence, but the 注意事项 and 使用示例 sections restate the prompt formula, consistency principles, and workflow steps already covered, and the large repeated JSON schemas add padding that could be tightened.

3 / 5

Actionability

Provides a concrete prompt formula, copy-paste-ready JSON output schemas, an explicit quality checklist, and a fully worked example with real Chinese/English prompt text covering three scenarios.

5 / 5

Workflow Clarity

Five steps are clearly sequenced with an explicit validation checkpoint (步骤3 quality check pass/fail) and a feedback loop (不通过反馈, max 2 retries) for error recovery.

5 / 5

Progressive Disclosure

The body is an overview that points to six real reference files and one asset, each with a clear '何时读取' navigation hint, all verified to exist, with content appropriately split one level deep.

5 / 5

Total

18

/

20

Passed

Description

78%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 is specific, third-person, and clearly articulates a niche capability with both what and when guidance. It is slightly weakened by marketing fluff and the absence of more explicit trigger phrases and synonyms.

Suggestions

Trim marketing phrases like '完美适配' and '事半功倍' to tighten the description.

Add an explicit 'Use when...' trigger clause with concrete user phrases (e.g., 即梦提示词, 数字人带货, 分镜脚本) and synonyms.

Drop generic intensifiers in favor of listing one or two more concrete actions.

DimensionReasoningScore

Specificity

Names the domain (数字人带货短视频) and several concrete actions — '一键生成即梦视频中英文提示词', '四大智能体协同', '高效产出高质量分镜脚本' — with only minor coverage gaps, though marketing phrases like '事半功倍' add mild padding.

4 / 5

Completeness

Explicitly states both what (生成中英文即梦视频提示词/分镜脚本) and when ('电商运营与内容创作者在制作数字人带货短视频时'), but the 'when' could be more specific with concrete trigger phrases.

4 / 5

Trigger Term Quality

Includes natural domain terms a user would say ('数字人带货短视频', '即梦视频提示词', '分镜脚本') but omits common synonyms and file-extension variants, leaving a few natural terms missing.

4 / 5

Distinctiveness Conflict Risk

Targets a clear, narrow niche (小省导购员数字人带货即梦视频提示词) with distinct triggers and minimal realistic overlap with other skills.

5 / 5

Total

17

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
anbeime/skill
Reviewed

Table of Contents

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