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Video prompt lab

Skill YYH123123813/video-prompt-lab/skills/video-prompt-lab

Local-first AI-video prompt generator, linter, and eval kit. One ShotSpec YAML -> Sora/Veo/Runway/Kling/Seedance prompts.

Install
npx -y skills add YYH123123813/video-prompt-lab --skill video-prompt-lab

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Generate, lint, and evaluate model-specific AI-video prompts from a ShotSpec YAML brief.

SKILL.md

0.8 KB, 172 tokens by cl100k_base, as published. Nobody here has run it

Video Prompt Lab Skill

Use when a user wants prompts for Sora, Veo, Runway, Kling, Seedance, Jimeng, or a generic AI-video model.

Workflow:

  1. Convert the idea into a ShotSpec YAML with title, goal, duration, aspect ratio, subject, scene, camera, motion, lighting, audio/dialogue, overlays, and negative constraints.
  2. Run python3 video_prompt_lab.py <spec.yaml> --models veo,sora,kling,seedance --out outputs/<name>.
  3. Review lint-report.md before spending generation credits.
  4. Give the user the model-specific prompt files.
  5. After generation, fill scorecard.md and iterate based on the weakest dimension.

Do not treat prompt generation as final output. Treat it as a measurable production loop.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.