video-shortform
nexu-io/open-design · Agent Skill
Generates short videos (3-10 seconds) for product reveals, motion teasers, and ambient loops.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | nexu-io/open-design ↗ |
| Skill folder | video-shortform |
| Stars | 95,886 |
| Forks | 11,122 |
| Bundled files | 2 |
| License | Apache-2.0 |
| Last updated | September 13, 2026 |
| Links | Skill source ↗ · Repository ↗ |
Mozgi check
What we found in the skill files. Details come with a subscription.
Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
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
Restart Claude Code — the skill appears in the list; call it manually with /video-shortform. For all projects use ~/.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 looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $video-shortform. For all projects use ~/.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 picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.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 offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlyVideo 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.
Frequently asked questions
What does the video-shortform skill do?
Generates short videos (3-10 seconds) for product reveals, motion teasers, and ambient loops.
How do I install video-shortform?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with video-shortform?
Skills are plain Markdown instructions (the Agent Skills format), so video-shortform works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is video-shortform free?
The skill is published openly by nexu-io under the Apache-2.0 license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.