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seedance-vocab-en

This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.

73

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, highly actionable single-purpose skill with concrete wording tables, a de-slop list, filter synonym pairs, a compact pattern, and an output contract. The only soft spot is the philosophical 'Intent' section, which is the lone source of token inefficiency.

Suggestions

Trim the 'Intent' section: replace the philosophical framing ('the soul of this vocabulary is precision as kindness', 'so their excitement survives contact with the model') with a single instructional line, since it adds tokens without actionable signal.

Fold the Intent's one useful point (precision prevents honest prompts from being mistaken for dangerous ones) into the existing intro paragraph and delete the standalone section to keep every section instructional.

Re-read each section against the 'every token earns its place' bar; the intro and Filter-Aware caveat already carry the motivation, so the Intent is largely a restatement that can be cut.

DimensionReasoningScore

Conciseness

The body is mostly lean (tables, rules, patterns, contract all earn their place), but the 'Intent' section is motivational padding ('the soul of this vocabulary is precision as kindness', 'so their excitement survives contact with the model') that adds tokens without instructional signal, fitting the 'mostly efficient but includes some unnecessary explanation' anchor rather than the every-token-earns-its-place 3-anchor.

2 / 3

Actionability

As an instruction-only skill it provides highly concrete, actionable guidance: a function→wording table, a named slop-word strip list, specific filter-trip synonym pairs, a copy-ready compact pattern template, and an explicit output contract, so the absence of code is not penalized.

3 / 3

Workflow Clarity

It is a single-purpose skill whose single action (de-slop, repair filter trips, emit per contract) is unambiguous, with a stated sequence ('strip quality adjectives before adding anything') and an output contract that doubles as a verification checklist; per the simple-skills note this clears the 3 bar.

3 / 3

Progressive Disclosure

At under 50 lines and single-purpose, the SKILL.md is a concise overview organized into clear sections with well-signaled, one-level-deep references ('Load references/vocab/en.md…', '[ref:anti-slop-lexicon]', '[ref:filter-vocab]'), satisfying the simple-skills allowance for a 3 without a bundled reference tree.

3 / 3

Total

11

/

12

Passed

Description

100%

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, third-person description with an explicit use-when trigger, concrete domain coverage, and a distinct niche. It earns top marks across all four dimensions with no vague fluff or over-claims.

DimensionReasoningScore

Specificity

It enumerates concrete production domains (camera, lighting, motion, VFX, audio, constraints) and specific trigger conditions (slop-heavy, padded with empty quality words, tripping false-positive filters), matching the 'lists multiple specific concrete actions' anchor rather than the vague 2-anchor.

3 / 3

Completeness

It answers both 'what' (precise English production vocabulary across named domains) and 'when' via an explicit 'This skill should be used when…' trigger clause, so it is not capped at 2 by the missing-trigger guideline.

3 / 3

Trigger Term Quality

It uses natural user-facing terms a Seedance 2.0 prompter would actually say ('slop-heavy', 'generic', 'tripping false-positive filters') alongside concrete domain keywords, giving good coverage rather than only jargon.

3 / 3

Distinctiveness Conflict Risk

The trigger is narrowly scoped to English Seedance 2.0 prompts with slop/filter-trip problems, a clear niche unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 1 missing, 1 deeper-than-1-level

Warning

Total

13

/

16

Passed

Repository
Emily2040/seedance-2.0
Reviewed

Table of Contents

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