/install free-video-cutter-online
Getting Started
Got a video clips for me? Send it over and I'll handle the video trimming and cutting. Or just describe what you need.
Try saying:
- "trim my video clips"
- "export 1080p MP4"
- "cut out the first 2 minutes"
First-Time Connection
When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").
Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.
- Obtain a free token: Generate a random UUID as client identifier. POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith headerX-Client-Idset to that UUID. The responsedata.tokenis your NEMO_TOKEN — 100 free credits, valid 7 days. - Create a session: POST to
https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agentwithAuthorization: Bearer \x3Ctoken>,Content-Type: application/json, and body{"task_name":"project","language":"\x3Cdetected>"}. Store the returnedsession_idfor all subsequent requests.
Keep setup communication brief. Don't display raw API responses or token values to the user.
Free Video Cutter Online — What You Get
This does video trimming and cutting for video clips. Everything runs server-side.
A quick walkthrough: upload a 10-minute interview recording → ask for cut out the first 2 minutes and trim the ending after the 7-minute mark → wait roughly 20-40 seconds → download your MP4 at 1080p. The backend handles rendering, encoding, all of it.
Fair warning — shorter clips process faster — split long videos before uploading if possible.
Routing Cut and Export Requests
When you paste a video URL or upload a file and set in/out timestamps, the request routes to the trim action handler, which queues a clip export job with your specified start time, end time, and output format (MP4, WebM, or GIF).
| 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 trim job runs on a cloud GPU instance that decodes only the keyframe range you selected, re-encodes the output using H.264 at your chosen bitrate, and stores the result in a temporary S3 bucket for 24 hours. Files over 2GB fall back to CPU-based FFmpeg processing, which increases render time by roughly 3–5x.
All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:
- Session —
POST /api/tasks/me/with-session/nemo_agentwith{"task_name":"project","language":"\x3Clang>"}. Gives you asession_id. - Chat (SSE) —
POST /run_ssewithsession_idand your message innew_message.parts[0].text. SetAccept: text/event-stream. Up to 15 min. - Upload —
POST /api/upload-video/nemo_agent/me/\x3Csid>— multipart file or JSON with URLs. - Credits —
GET /api/credits/balance/simple— returnsavailable,frozen,total. - State —
GET /api/state/nemo_agent/me/\x3Csid>/latest— current draft and media info. - Export —
POST /api/render/proxy/lambdawith render ID and draft JSON. PollGET /api/render/proxy/lambda/\x3Cid>every 30s forcompletedstatus and download URL.
Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-video-cutter-online, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).
Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.
Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Translating GUI Instructions
The backend responds as if there's a visual interface. Map its instructions to API calls:
- "click" or "点击" → execute the action via the relevant endpoint
- "open" or "打开" → query session state to get the data
- "drag/drop" or "拖拽" → send the edit command through SSE
- "preview in timeline" → show a text summary of current tracks
- "Export" or "导出" → run the export workflow
SSE Event Handling
| Event | Action |
|---|---|
| Text response | Apply GUI translation (§4), present to user |
| Tool call/result | Process internally, don't forward |
heartbeat / empty data: |
Keep waiting. Every 2 min: "⏳ Still working..." |
| Stream closes | Process final response |
~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.
Error Codes
0— success, continue normally1001— token expired or invalid; re-acquire via/api/auth/anonymous-token1002— session not found; create a new one2001— out of credits; anonymous users get a registration link with?bind=\x3Cid>, registered users top up4001— unsupported file type; show accepted formats4002— file too large; suggest compressing or trimming400— missingX-Client-Id; generate one and retry402— free plan export blocked; not a credit issue, subscription tier429— rate limited; wait 30s and retry once
FAQ
What resolution can I grab? Up to 1080p. Input quality matters though — garbage in, garbage out.
Can I use this on my phone footage? Yes. Vertical (9:16), horizontal (16:9), square — all work. Just upload and specify what you want.
Credits? 100 free to start. Most operations cost 1-5 credits depending on video length.
Best Practices
Use source footage in MP4, MOV, AVI, WebM format for best compatibility. 1080p input gives the cleanest results but 720p works fine too.
Be specific with your requests — "add upbeat background music at 30% volume" beats "add some music". The AI works better with concrete details.
Export as MP4 for widest compatibility across devices and platforms.
Quick Start Guide
First time? Just upload a video clips and describe what you need. I'll run it through NemoVideo's backend and hand you back a 1080p MP4.
Processing takes about 20-40 seconds depending on video length. You start with 100 free credits — most edits cost 1-3.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install free-video-cutter-online - 安装完成后,直接呼叫该 Skill 的名称或使用
/free-video-cutter-online触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Free Video Cutter Online 是什么?
Get 1080p MP4 files from your video clips using this free-video-cutter-online tool. It runs video trimming and cutting on cloud GPUs, so your machine does ze... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。
如何安装 Free Video Cutter Online?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install free-video-cutter-online」即可一键安装,无需额外配置。
Free Video Cutter Online 是免费的吗?
是的,Free Video Cutter Online 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Free Video Cutter Online 支持哪些平台?
Free Video Cutter Online 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 Free Video Cutter Online?
由 mory128(@mory128)开发并维护,当前版本 v1.0.0。