Short-form video generation skill — 3-10 second clips for product reveals, motion teasers, ambient loops. Defaults to Seedance 2 but works the same with Kling 3 / 4, Veo 3 or Sora 2. Output is one MP4 saved to the project folder. When the workspace also ships an interactive-video / hyperframes skill, prefer composing several short shots into a single timeline rather than one long monolithic clip.
Short-form (≤ 10s) is the sweet spot for current text-to-video models — they're great at one shot with one idea, weaker at multi-cut narratives. Plan one shot per call.
Special case: hyperframes-html is not a photoreal text-to-video
model. It's a local HTML-to-MP4 renderer. For that model, do not roleplay
cinematography or "real-world" camera physics. Treat the brief as a motion
design card / title-frame / product interstitial, ask at most one
clarifying question, then dispatch immediately.
video-shortform/
├── SKILL.md
└── example.html
videoModel, videoLength (seconds), videoAspect. These are
hard-locks — clamp the prompt to whatever the chosen model supports
(Seedance 2 caps at 10s; Kling 4 supports up to 10s + image-to-video;
Veo 3 supports 8s with audio).
Write the shotlist BEFORE calling the model:
| Slot | Content | |---|---| | Subject | What's in frame? | | Camera | Static / pan / push-in / orbit? | | Lighting | Key direction + temperature | | Motion | What moves, at what pace? Subject motion vs camera motion. | | Sound | Ambient bed? (only if the model supports audio) |
Normally, show this to the user as a one-sentence plan before dispatching — they can redirect cheaply.
For hyperframes-html, skip the extra pre-dispatch narration once the
user has answered the discovery form. Collapse the plan into the actual
generation prompt and dispatch immediately.
Use the format the upstream model prefers (Seedance: motion + camera +
mood; Kling: subject + camera + style; Veo: subject + cinematography +
sound). Bind the project's videoAspect and videoLength directly to
the API parameters; never put them in prose.
For hyperframes-html, write a concise motion-design brief instead of a
camera-realism prompt. Focus on subject, layout, palette, motion
character, and overall tone. Do not spend turns narrating environment
checks, missing side files, or "I am about to dispatch" status updates.
Use the unified dispatcher — do not call provider APIs by hand:
"$OD_NODE_BIN" "$OD_BIN" media generate \
--project "$OD_PROJECT_ID" \
--surface video \
--model "<videoModel from metadata>" \
--aspect "<videoAspect from metadata>" \
--length <videoLength seconds> \
--output "<short-slug>-<seconds>s.mp4" \
--prompt "<assembled shot prompt from Step 2>"
The command prints one line of JSON: {"file": {"name": "...", ...}}.
The bytes land in the project; the FileViewer plays it automatically.
Reply with: shot summary, the filename returned by the dispatcher, and one sentence on what to try if the user wants a variation.
For hyperframes-html, keep the reply especially short: what was
rendered, the filename, and one concrete variation idea.
videoAspect exactly — re-renders are slow."$OD_NODE_BIN" "$OD_BIN" media generate.Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/video-shortform · pinned to the source commit
# Run from your project root
git clone https://github.com/nexu-io/open-design.git .skillboard-tmp
git -C .skillboard-tmp checkout 9881cff70e02be86c2a58130af512011ba23d4af
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/design-templates/video-shortform" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/nexu-io/open-design.git .skillboard-tmp
git -C .skillboard-tmp checkout 9881cff70e02be86c2a58130af512011ba23d4af
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/design-templates/video-shortform" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/video-shortform
Scanner static-checks@0.1.0 · commit 9881cff70e02. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.