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video-shortform

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.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nexu-io-open-design-design-templates-video-shortform-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name video-shortform description 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. triggers ["video","clip","shortform","reel","短视频","动效"] od {"mode":"video","surface":"video","scenario":"marketing","preview":{"type":"html","entry":"example.html"},"design_system":{"requires":false},"example_prompt":"5-second product reveal — ceramic coffee mug rotating on a soft\npaper backdrop, warm side-light from camera-left, micro dust motes\ndrifting through the beam. Cinematic, 16:9, slow drift on the camera.\n"} Video Shortform Skill 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 " $OD_PROJECT_ID " \ --surface video \ --model "<videoModel from metadata>" \ --aspect "<videoAspect from metadata>" \ --length <videoLength seconds> \ --output "<short-slug>-<seconds>s.mp4" \ --prompt "<assembled shot prompt from Step 2>" The command prints one line of JSON: {"file": {"name": "...", ...}} . The bytes land in the project; the FileViewer plays it automatically. Step 4 — Hand off Reply with: shot summary, the filename returned by the dispatcher, and one sentence on what to try if the user wants a variation. For hyperframes-html , keep the reply especially short: what was rendered, the filename, and one concrete variation idea. Hard rules One shot per turn. Multi-shot timelines belong in a hyperframes / interactive-video skill, not here. Match videoAspect exactly — re-renders are slow. Never ship a video without saving the file — the user expects something to play in the file viewer. When the underlying model fails (NSFW filter, content policy, timeout), keep the raw provider error in the tool trace and give the user the media contract's nextStep sentence for that outcome. Never paste upstream error text into the reply. Don't silently retry. Do not claim a render has been "sent", "started", or "is running" unless you have already called "$OD_NODE_BIN" "$OD_BIN" media generate .
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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