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nexu-io/open-design/design-templates/video-shortform/SKILL.md

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.

Source repository stars
82,073
Declared platforms
0
Static risk flags
0
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/nexu-io/open-design --skill "design-templates/video-shortform"
    Safe inspection promptEditorial

    Inspect the Agent Skill "video-shortform" from https://github.com/nexu-io/open-design/blob/89d6d4ef21baf80f871595abdf6f7de6e941dd44/design-templates/video-shortform/SKILL.md at commit 89d6d4ef21baf80f871595abdf6f7de6e941dd44. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Workflow

      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).

      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…Write the shotlist BEFORE calling the model:Normally, show this to the user as a one-sentence plan before dispatching — they can redirect cheaply.
    2. 02

      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).

      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…
    3. 03

      Step 1 — Plan the shot

      Write the shotlist BEFORE calling the model:

      Write the shotlist BEFORE calling the model: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.
    4. 04

      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.

      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 pa…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, missi…

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score74/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars82,073SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    nexu-io/open-design
    Skill path
    design-templates/video-shortform/SKILL.md
    Commit
    89d6d4ef21baf80f871595abdf6f7de6e941dd44
    License
    Apache-2.0
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    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:

    SlotContent
    SubjectWhat's in frame?
    CameraStatic / pan / push-in / orbit?
    LightingKey direction + temperature
    MotionWhat moves, at what pace? Subject motion vs camera motion.
    SoundAmbient 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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