video-shortform
nexu-io/open-design · Agent Skill
Genera brevi video (3-10 secondi) per presentazioni di prodotti, teaser in movimento e loop ambientali.
Vai all'installazione ↓Panoramica
| Autore | |
|---|---|
| Repository | nexu-io/open-design ↗ |
| Cartella dello skill | video-shortform |
| Stelle | 95.886 |
| Fork | 11.122 |
| File inclusi | 2 |
| Licenza | Apache-2.0 |
| Aggiornato | 13 settembre 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
Cosa abbiamo trovato nei file dello skill. I dettagli con l’abbonamento.
Installazione
Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.
Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.
Install the “video-shortform” skill from mozgi.io (https://mozgi.io/skills/video-shortform/) for me. 1. Download the archive: https://mozgi.io/skills/video-shortform/download If it fails, take the skill folder from the source: https://github.com/nexu-io/open-design/tree/main/design-templates/video-shortform 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “video-shortform” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/video-shortform/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/nexu-io/open-design.git /tmp/open-design mkdir -p .claude/skills cp -r /tmp/open-design/design-templates/video-shortform .claude/skills/video-shortform
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /video-shortform. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/nexu-io/open-design.git /tmp/open-design mkdir -p .agents/skills cp -r /tmp/open-design/design-templates/video-shortform .agents/skills/video-shortform
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $video-shortform. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/nexu-io/open-design.git /tmp/open-design mkdir -p .cursor/skills cp -r /tmp/open-design/design-templates/video-shortform .cursor/skills/video-shortform
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/nexu-io/open-design.git /tmp/open-design mkdir -p .gemini/skills cp -r /tmp/open-design/design-templates/video-shortform .gemini/skills/video-shortform
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.
Contenuto di SKILL.md
Testo originale dell'autore · sola letturaVideo 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
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 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.
Domande frequenti
Che cosa fa lo skill video-shortform?
Genera brevi video (3-10 secondi) per presentazioni di prodotti, teaser in movimento e loop ambientali.
Come si installa video-shortform?
Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.
Con quali modelli AI funziona video-shortform?
Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi video-shortform funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.
video-shortform è gratuito?
Lo skill è pubblicato apertamente da nexu-io con licenza Apache-2.0. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.
È sicuro installare gli skill?
Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.
In cosa differisce uno skill da un server MCP o da un plugin?
Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.