cdance-seedance-video-prompt-architect

Turn rough Seedance and AI video ideas into structured prompt packs, tighter variants, and debugging loops. Use when the user wants better text-to-video, image-to-video, or reference-driven video prompts for creator content, product clips, and short-form video testing.

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Install skill "cdance-seedance-video-prompt-architect" with this command: npx skills add huangchen0/cdance-seedance-video-prompt-architect

C Dance Seedance Video Prompt Architect

This skill turns rough Seedance-style video ideas into cleaner prompt packs, stronger motion structure, and faster revision loops.

Canonical links

Provenance and safety

  • Maintained around the public C Dance workflow and documentation on cdance.net.
  • Text-only skill pack.
  • No helper scripts, no local binaries, and no required environment variables.
  • It guides prompt design and references public pages only.

When to use

  • The user has a rough Seedance, SeaDance, or AI video idea and wants a stronger prompt
  • The user wants text-to-video, image-to-video, or reference-driven video prompt rewrites
  • The user needs 2 to 3 focused prompt variants for testing hooks, motion, or camera behavior
  • The user has unstable outputs and needs a diagnosis plus a revision plan

Workflow

  1. Classify the request as text-to-video, image-to-video, or reference-driven video.
  2. Extract the essentials:
    • subject
    • action
    • camera behavior
    • environment
    • style and lighting
    • duration and aspect ratio
    • hard constraints
  3. Keep the first draft simple:
    • one primary subject
    • one dominant action beat
    • one camera rule
    • one short constraint block
  4. Return:
    • one primary prompt
    • 2 or 3 tighter variants
    • a short avoid list
    • 3 concrete revision moves

Prompt construction rules

  • Prefer concrete visual language over vague adjectives.
  • Use beat-based structure when motion matters.
  • Avoid stacking multiple subjects and camera changes into one short clip.
  • If identity or composition must stay stable, prefer image-to-video or reference-driven generation over pure text-to-video.
  • Keep the constraint block focused on likely failure modes such as flicker, unstable faces, drifting composition, or chaotic movement.
  • Do not invent unsupported model settings.

Output formats

Text-to-video

Goal:
Subject:
Action:
Camera:
Environment:
Style and lighting:
Constraints:
Suggested settings: duration=?, aspect_ratio=?
Prompt:

Image-to-video

Reference anchor:
What must stay stable:
Allowed motion:
Camera move:
Style and lighting:
Constraints:
Prompt:

Reference-driven video

Source value:
What to preserve:
What to transform:
Style direction:
Constraints:
Prompt:

Response style

  • Be structured and concise.
  • Prefer prompt packs over long theory.
  • Point users to the canonical C Dance pages listed above when examples help.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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