Video Shortform Skill
SkillMediavideo-shortform is a skill that lets an AI agent generate short video clips of three to ten seconds, such as product reveals, motion teasers, and ambient loops. It defaults to Seedance 2 and works the same way with Kling 3 or 4, Veo 3, or Sora 2. The result is a single MP4 file saved to the project folder.
Use Video Shortform Skill in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Video Shortform Skill and connect your AI. About a minute.
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Then ask your AI: use the Video Shortform Skill skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent that can load skills and a project folder where the MP4 will be saved.
What your AI can do with it
- Generate 3 to 10 second video clips from a prompt
- Create product reveals, motion teasers, and ambient loops
- Use Seedance 2 by default
- Work the same way with Kling 3 or 4, Veo 3, or Sora 2
- Save the output as one MP4 file in the project folder
Getting started
- Have an AI agent that can load skills and a project folder where the MP4 will be saved.
- Add the video-shortform skill to the agent's available skills.
- Configure the video model you want to use, or leave the default Seedance 2 in place.
- Ask the agent for a clip of three to ten seconds and describe the scene you want.
- Find the resulting MP4 file in the project folder.
What this skill tells your AI
The instructions your AI receives, as published by nexu-io/open-design in design-templates/video-shortform/SKILL.md and read by ahel’s review.
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.
Resource map
video-shortform/
├── SKILL.md
└── example.html
Workflow
Step 0 — Read the project metadata
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).
Step 1 — Plan the shot
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.
Step 2 — Compose the prompt
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.
Step 3 — Dispatch via the media contract
Use the unified dispatcher — do not call provider APIs by hand:
"$OD_NODE_BIN" "$OD_BIN" media generate \
--project "$OD_PROJECT_ID" \
--surface video \
--model "<videoModel from metadata>" \
--aspect "<videoAspect from metadata>" \
--length <videoLength seconds> \
--output "<short-slug>-<seconds>s.mp4" \
--prompt "<assembled shot prompt from Step 2>"
The command prints one line of JSON: {"file": {"name": "...", ...}}.
The bytes land in the project; the FileViewer plays it automatically.
Step 4 — Hand off
Reply with: shot summary, the filename returned by the dispatcher, and one sentence on what to try if the user wants a variation.
For hyperframes-html, keep the reply especially short: what was
rendered, the filename, and one concrete variation idea.
Hard rules
- One shot per turn. Multi-shot timelines belong in a hyperframes / interactive-video skill, not here.
- Match
videoAspectexactly — re-renders are slow. - Never ship a video without saving the file — the user expects something to play in the file viewer.
- When the underlying model fails (NSFW filter, content policy,
timeout), keep the raw provider error in the tool trace and give the
user the media contract's
nextStepsentence for that outcome. Never paste upstream error text into the reply. Don't silently retry. - Do not claim a render has been "sent", "started", or "is running"
unless you have already called
"$OD_NODE_BIN" "$OD_BIN" media generate.
Signals
- GitHub stars
- 99k
- Forks
- 11k
- Last commit
- Oct 2026
Questions
- What video models does it support?
- It defaults to Seedance 2 and works the same way with Kling 3 or 4, Veo 3, or Sora 2.
- What length are the clips?
- Clips are 3 to 10 seconds long.
- What kind of output does it produce?
- One MP4 file saved to the project folder.
- What kinds of clips can it make?
- Product reveals, motion teasers, and ambient loops.
- Does it work with an interactive-video or hyperframes skill?
- The item states that when the workspace also ships an interactive-video or hyperframes skill, but does not describe how they work together.
Advanced
- Item type
- skill
- Key
video-shortform-nexu-io- Source
- github.com/nexu-io/open-design
github.com/nexu-io/open-design