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Video Short

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install video-short
功能描述
Skip the learning curve of professional editing software. Describe what you want — cut this into a 60-second short with captions and background music — and g...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI short-form editing. Or just tell me what you're thinking.

Try saying:

  • "convert my raw video footage"
  • "export 1080p MP4"
  • "cut this into a 60-second short"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Video Short — Convert Long Videos Into Shorts

Send me your raw video footage and describe the result you want. The AI short-form editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 10-minute talking-head recording, type "cut this into a 60-second short with captions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: vertical 9:16 video works perfectly for TikTok and Reels output.

Matching Input to Actions

User prompts referencing video short, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source video-short
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut this into a 60-second short with captions and background music" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across all social platforms.

Common Workflows

Quick edit: Upload → "cut this into a 60-second short with captions and background music" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
Install this only if you are comfortable sending selected video/audio/image files to mega-api-prod.nemovideo.ai, using or generating a NEMO_TOKEN, and potentially consuming render credits. Avoid sensitive footage unless you trust the provider.
功能分析
Type: OpenClaw Skill Name: video-short Version: 1.0.0 The video-short skill is a legitimate integration for the nemovideo.ai service, facilitating AI-driven video editing and rendering. It manages authentication via the NEMO_TOKEN environment variable or anonymous UUIDs and communicates exclusively with mega-api-prod.nemovideo.ai for uploading files and processing video tasks. The instructions in SKILL.md are operational guidelines for the agent to interact with the service's API and do not contain malicious prompt injections or unauthorized data exfiltration logic.
能力评估
Purpose & Capability
The stated purpose matches the behavior: upload user-provided media, edit it through a remote API, and return rendered shorts. The noteworthy part is that raw video/audio may leave the user's device for cloud processing.
Instruction Scope
The skill instructs the agent to create a service session on first use and translate backend GUI-style messages into API actions. This is coherent with the workflow, but credit-consuming exports should remain user-directed.
Install Mechanism
There is no install spec or code to execute, which reduces local execution risk. Provenance is limited because the source is unknown and there is no homepage.
Credentials
External network calls, media uploads, and a NemoVideo token are proportionate for a cloud-rendering video editor and are disclosed in SKILL.md.
Persistence & Privilege
The skill uses NEMO_TOKEN, session IDs, and remote render jobs. The artifacts disclose that unfinished jobs can become orphaned if the tab closes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-short
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-short 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release — quickly convert long videos into short-form content with AI editing. - Upload raw video files (MP4, MOV, AVI, WebM up to 500MB) and describe the desired short. - Automatic AI editing creates 60-second shorts with captions and background music, ideal for TikTok/Reels. - No manual editing required; results are returned in about 30–60 seconds per clip. - Cloud-based workflow—no installation needed; all rendering handled server-side. - Includes automatic session setup, cloud GPU processing, and export/download workflow. - Supports common queries: upload, export, check credits/status, and timeline previews.
元数据
Slug video-short
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Video Short 是什么?

Skip the learning curve of professional editing software. Describe what you want — cut this into a 60-second short with captions and background music — and g... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 56 次。

如何安装 Video Short?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-short」即可一键安装,无需额外配置。

Video Short 是免费的吗?

是的,Video Short 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Short 支持哪些平台?

Video Short 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Video Short?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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