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seedance-2-0

Generate cinematic clips with ByteDance Seedance 2.0 — the preferred premium video model in OpenMontage when a paid gateway is configured. Use when: (1) producing trailers, teasers, hype edits, or premium cinematic clips, (2) needing native synchronized audio (speech, SFX, ambience) in a single pass, (3) needing multi-shot cuts inside one generation, (4) needing director-level camera control, (5) needing lip-sync from quoted dialogue in the prompt, (6) needing reference-conditioned generation with up to 9 images + 3 video clips + 3 audio clips, (7) wanting consistent character identity across shots. Accessible via fal.ai (`seedance_video` tool), HeyGen (Video Agent / Avatar Shots), Replicate, Runway (Enterprise, non-US), Freepik, BytePlus ModelArk, Higgsfield, Pollo, and other aggregators.

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

77%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-sequenced body with strong feedback loops, dragged down by inlined content that belongs in reference files and by time-sensitive detail left in the main flow rather than a deprecated section. Conciseness is the weakest dimension.

Suggestions

Move the provider surface table, fal.ai model IDs, and verbatim Higgsfield opener templates into a references/ file (e.g. PROVIDERS.md and PROMPT_TEMPLATES.md) and link to them one level deep, keeping SKILL.md as an overview.

Relocate time-sensitive facts (release dates, Elo ranking, per-second pricing) into a clearly labeled 'Pricing & release notes (verify before use)' or deprecated-style section so the operational guidance stays lean.

Trim the opening OpenMontage routing paragraph, which restates the gateway list and dedup-by-provider behavior already covered in 'Provider surfaces'.

DimensionReasoningScore

Conciseness

Mostly dense and operational with little basic-concept padding, but time-sensitive claims ('released Feb 2026', 'Elo 1269 as of Feb 2026', fal.ai pricing) sit in the main body rather than a deprecated/old-patterns section, and the OpenMontage routing prose in the intro repeats detail covered later — could be tightened.

3 / 5

Actionability

Fully executable: copy-paste `video_selector` and direct `seedance_video` Python calls, exact fal.ai model IDs, verbatim opener templates, and parameter tables covering the common T2V/I2V/reference cases.

5 / 5

Workflow Clarity

Clear sequenced 'Iteration strategy' (block out shape → lock seed → upgrade to standard → extend → keep README) plus an explicit 'Verification checklist for every Seedance shot' and an anti-drift feedback loop ('If face morphs... drop to a shorter duration, tighten identity-lock language').

5 / 5

Progressive Disclosure

Well-sectioned with clear headers, but no bundle files exist (references/scripts/assets all absent) and everything — provider surface table, Higgsfield opener templates, legacy template, parameter guidance — is inlined in one ~280-line file with no one-level-deep references to split out the bulk.

3 / 5

Total

16

/

20

Passed

Description

100%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 high-quality description: third-person imperative voice, concrete capability list, explicit seven-part 'Use when' trigger guidance, and a distinctive niche that minimizes conflict risk. No first/second-person voice to penalize.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'producing trailers, teasers, hype edits, or premium cinematic clips', 'native synchronized audio', 'multi-shot cuts', 'lip-sync from quoted dialogue', 'reference-conditioned generation with up to 9 images + 3 video clips + 3 audio clips' — giving comprehensive coverage of the model's capabilities.

5 / 5

Completeness

Explicitly answers both 'what' ('Generate cinematic clips with ByteDance Seedance 2.0') and 'when' via a numbered 'Use when: (1)...(7)' clause with seven concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural terms including synonyms users would actually say — 'trailers, teasers, hype edits', 'cinematic clips', 'speech, SFX, ambience', 'multi-shot cuts', 'camera control', 'lip-sync' — with no jargon-only phrasing.

5 / 5

Distinctiveness Conflict Risk

Clear niche — ByteDance Seedance 2.0 cinematic video with distinctive triggers (synced audio, multi-shot, lip-sync, reference conditioning) unlikely to fire for unrelated skills.

5 / 5

Total

20

/

20

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.

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

13

/

16

Passed

Repository
calesthio/OpenMontage
Reviewed

Table of Contents

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