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 ↓

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發布者nexu-io組織
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。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
僅含說明 — 適用於多數代理
相似技能
找到 72 個相似技能
訂閱另含

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.

技能檔案

2 個檔案 下載 ZIP

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 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), 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。

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