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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 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nexu-io-open-design-plugins-official-examples-video-shortform-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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 " $OD_PROJECT_ID " \ --surface video \ --model "<videoModel from metadata>" \ --aspect "<videoAspect from metadata>" \ --length <videoLength seconds> \ --output "<short-slug>-<seconds>s.mp4" \ --prompt "<assembled shot prompt from Step 2>" The command prints one line of JSON: {"file": {"name": "...", ...}} . The bytes land in the project; the FileViewer plays it automatically. Step 4 — Hand off Reply with: shot summary, the filename returned by the dispatcher, and one sentence on what to try if the user wants a variation. For hyperframes-html , keep the reply especially short: what was rendered, the filename, and one concrete variation idea. Hard rules One shot per turn. Multi-shot timelines belong in a hyperframes / interactive-video skill, not here. Match videoAspect exactly — re-renders are slow. Never ship a video without saving the file — the user expects something to play in the file viewer. When the underlying model fails (NSFW filter, content policy, timeout), report the error verbatim. Don't silently retry. Do not claim a render has been "sent", "started", or "is running" unless you have already called "$OD_NODE_BIN" "$OD_BIN" media generate .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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