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SKILL verified Apache-2.0 Self-run

Auto Short Video

skill-zju-real-easel-auto-short-video · by ZJU-REAL

一句话主题 → 成品短视频：自动串联 文案→配图/AI视频→配音→字幕→BGM→合成，把 Easel 制作层零件编排成一条'一键出片'流水线。**单条视频、口播/资讯向，画面默认逐句配图 + Ken Burns 缓动，需要动态时才逐段图生视频**。当用户说 一键生成视频、自动做短视频、主题生成视频、帮我做条视频、口播视频一条龙、自动出片、短视频一键生成 时使用。**有剧情/角色/对白/反转/多集的短剧改用 short-drama（每镜强制图生视频、不用静态图冒充）；只写脚本用 video-script；只生成单个片段用 ai-video-gen。**

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Install

$ agentstack add skill-zju-real-easel-auto-short-video

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
0 installs to date
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● 2d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

一键短视频（端到端编排）

> 输入一个主题，自动产出一条短视频。本 SKILL 是编排层：把已有制作零件串成流水线—— > 文案(video-script) → 逐句配图(ai-image-gen)或片段(ai-video-gen) → 配音(tts-voiceover) → > 字幕(auto-subtitle) → BGM(ai-music) → 合成(scripts/assemble.py)。 > 沉淀自 Pixelle-Video / MoneyPrinterTurbo 的自动短视频引擎思路。

输入

  • 主题 / 文案（必填）
  • 可选：目标时长、风格、是否要配音/字幕/BGM、配图用 AI 生图还是用户素材
  • 画幅确认硬门：用户或上游任务未明确横版/竖版（或 16:9/9:16/具体分辨率）时，制作/付费调用前必须追问并等确认；不得从平台、Profile 或默认值静默推断，已明确则不重复问

输出

成品短视频写入 outputs/主题名/final.mp4；分镜图、配音、字幕和 storyboard 写入 outputs/主题名/assets/。

执行步骤（按需裁剪，缺 API key 的环节自动降级或询问）

  1. 写脚本分镜：用 [video-script](../video-script/SKILL.md) 把主题写成口播文案，拆成 N 句（每句一个分镜），每句配一个画面描述。
  1. 生成画面（每个分镜一张图/一段片）：
  • 有图像 API key → [ai-image-gen](../ai-image-gen/SKILL.md) 逐句 text2img（按已确认画幅）
  • 要动态 → [ai-video-gen](../ai-video-gen/SKILL.md) text2video/image2video
  • 用户自带素材 → 用 [image-editing](../image-editing/SKILL.md) pad 到已确认画幅
  • 都没有 → 按已确认画幅选图卡（竖版用 card-xiaohongshu/poster-hero，横版用 card-quote）再 pad，避免画幅错配。
  1. 配音：[tts-voiceover](../tts-voiceover/SKILL.md) 把文案合成口播（同时出 SRT）。配了 VOICE_PROVIDER 默认走闭源好嗓子（有情感、像真人），没 key 才退 edge（机械）——想要口播不"生硬"务必配闭源 key。不需要配音才跳过。
  1. 字幕：用 TTS 附带的 SRT，或对配音跑 [auto-subtitle](../auto-subtitle/SKILL.md)；也可让 assemble 用各分镜 caption 自动生成。
  1. BGM：[ai-music](../ai-music/SKILL.md) 生成，或用用户提供的音乐。可选。
  1. 合成成片：把上面的素材写成 storyboard JSON，调合成器：

``bash python skills/openclaw/auto-short-video/scripts/assemble.py assemble \ --storyboard outputs/主题名/assets/storyboard.json \ -o outputs/主题名/final.mp4 ` storyboard 结构（图/片二选一，narration/bgm/subtitle 可选，缺 duration 时按配音均分）： `json { "size": "", "image_motion": "ken-burns", "shots": [ {"image": "outputs/主题名/assets/shot1.png", "duration": 3, "caption": "第一句", "motion": "static"}, {"video": "outputs/主题名/assets/clip2.mp4", "caption": "第二句"} ], "narration": "outputs/主题名/assets/voice.mp3", "bgm": "outputs/主题名/assets/bgm.mp3", "subtitle": "outputs/主题名/assets/voice.srt" } ` imagemotion 设整条图片默认运动，单镜 motion 可覆写：照片用 ken-burns，含文字的 slide/图表/界面必须用 static（等比缩放 + 补边，不裁切、不平移）。 合成器自动做：按 imagemotion` 生成静帧或 Ken Burns、补边到画幅、拼接、配音+BGM 混音（BGM 自动压低）、烧录字幕。

  1. 交付：产出 final.mp4，附一句制作说明（用了哪些环节、哪些降级了）。

编排原则

  • 零件可缺：缺图像/视频/TTS API key 的环节自动降级（图卡兜底 / 跳过配音），不阻断整体，并如实告知用户降级了什么。
  • 先出 Plan：涉及多个付费 API（生图/生视频/生乐）时，先向用户说明将调用哪些、大致耗时/花费，确认后再跑。
  • 中间产物留档：分镜图、配音、字幕和 storyboard 都写进 outputs/主题名/assets/，方便单独替换后重新合成。

Profile 感知

  • 有 Profile：从 style.md 取调性/视觉风格贯穿文案与配图 prompt；platforms.md 只用于给出画幅/时长建议，画幅仍须确认；preferences.md 红线过滤。
  • 无 Profile：先确认横版/竖版，再用通用口播风格。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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