video-shortform
nexu-io/open-design · Agent Skill
生成用於產品展示、動態預告片和環境迴圈的短影片(3-10秒)。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | nexu-io/open-design ↗ |
| 技能資料夾 | video-shortform |
| 星 | 95,886 |
| 分支 | 11,122 |
| 附帶檔案 | 2 |
| 授權 | Apache-2.0 |
| 最近更新 | 2026年9月13日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
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
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/video-shortform。要套用到所有專案,請放在 ~/.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 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $video-shortform 呼叫。所有專案:~/.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 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.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
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀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
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.
常見問題
video-shortform 技能有什麼用途?
生成用於產品展示、動態預告片和環境迴圈的短影片(3-10秒)。
如何安裝 video-shortform?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
video-shortform 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 video-shortform 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
video-shortform 是免費的嗎?
此技能由 nexu-io 公開發布,採用 Apache-2.0 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。