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seedance-prompt-en

Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation. Use when users want to create video prompts using text, images, videos, and audio inputs with the @ reference system. Covers camera movements, effects replication, video extension, editing, music beat-matching, e-commerce ads, short dramas, and educational content.

Quality

90%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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 guide that gives Claude concrete syntax and copy-paste examples for a tool it does not already know. It is slightly long with minor redundancy between the workflow and interaction sections, and could offload reference material into bundle files.

Suggestions

Consolidate the 'Workflow' and 'Interaction Instructions' sections, which overlap heavily, to reduce token cost.

Move the camera-language tables and/or the capability example library into reference files under ./references/ and link to them from SKILL.md to improve progressive disclosure.

Add an explicit validate-and-retry loop in the workflow (e.g., after drafting, re-check each @reference has a clear role and fix before finalizing) to strengthen workflow clarity.

DimensionReasoningScore

Conciseness

Dense, reference-style content with tables and copy-paste examples that mostly earns its tokens, but the persona opener and the near-duplication between 'Workflow' and 'Interaction Instructions' could be trimmed.

4 / 5

Actionability

Provides fully executable guidance — concrete '@' reference syntax, a prompt-structure formula, time-segmented templates, camera-language tables, and ten copy-paste-ready example prompts covering common cases.

5 / 5

Workflow Clarity

The 'Workflow' section sequences prompt creation across six numbered steps including an explicit constraint-check checkpoint ('Verify total files ≤ 12, no real human faces, durations within limits') and a 'Common Mistakes' checklist, but it lacks an explicit fix-and-retry feedback loop.

4 / 5

Progressive Disclosure

Single-file SKILL.md is well organized with clear section headers and no nested references, though the camera-language reference and template library are inlined rather than split into separate reference files (the bundled assets are not referenced from the body).

4 / 5

Total

17

/

20

Passed

Description

92%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, well-scoped description that concretely lists capabilities and provides explicit 'Use when' trigger guidance in third-person voice. Minor room to add a few more natural synonyms for trigger terms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and capability areas — 'camera movements, effects replication, video extension, editing, music beat-matching, e-commerce ads, short dramas, and educational content' plus '@ reference system' inputs — giving comprehensive coverage rather than vague claims.

5 / 5

Completeness

Explicitly states both what ('Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation') and when ('Use when users want to create video prompts using text, images, videos, and audio inputs with the @ reference system') with concrete trigger phrases, in third-person voice.

5 / 5

Trigger Term Quality

Natural terms like 'video prompts', 'AI video generation', 'images, videos, and audio inputs', 'e-commerce ads', and 'short dramas' align with what users would say, but a few natural synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Targets a clearly named, product-specific niche (Jimeng Seedance 2.0) with distinct triggers, so overlap with other skills is minimal.

5 / 5

Total

19

/

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

dexhunter/seedance2-skill

Path

SKILL.md

Reviewed

Table of Contents

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