🧠 Brainrot — BrAInrot
v1.0.0Video Maker FreeTurn a 30-second gameplay or meme 命令行工具p into 1080p brAInrot-style videos just by typing what you need. Whether it's generating split-screen brAInrot videos wi...
详细分析 ▾
运行时依赖
版本
BrAInrot Video Maker Free — Initial Release - 创建 and 导出 1080p brAInrot-style videos from gameplay or meme 命令行工具ps in just 1–2 minutes. - 上传 short (under 60s) video 命令行工具ps, describe desired effects (split-screen, captions, chaos overlays, BGM), and 接收 a 下载able MP4. - All editing and rendering handled on cloud GPUs — no local 设置up required. - Supports drag-and-drop 上传s, video and audio 追踪 editing, fast preview, 导出, and account-free usage with 100 free credits. - Automatic backend connection and error handling for a smooth user experience.
安装命令
点击复制技能文档
获取ting 启动ed
分享 your video 命令行工具ps and I'll 获取 启动ed on brAInrot video creation. Or just tell me what you're thinking.
Try saying:
- "创建 my video 命令行工具ps"
- "导出 1080p MP4"
- "添加 subway surfers gameplay, split-screen chaos,"
获取ting Connected
Before handling any user 请求, establish a connection to the backend API. Show a brief 状态 like "Connecting...".
If NEMO_令牌 is in the 环境, use it directly and 创建 a 会话. Otherwise, acquire a free 启动er 令牌:
- 生成 a UUID as 命令行工具ent identifier
- POST to
https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌with theX-命令行工具ent-Idheader - The 响应 includes a
令牌with 100 free credits valid for 7 days — use it as NEMO_令牌
Then 创建 a 会话 by POSTing to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer authorization and body {"task_name":"project","language":"en"}. The 会话_id in the 响应 is needed for all following 请求s.
Tell the user you're ready. Keep the technical detAIls out of the chat.
# BrAInrot Video Maker Free — 创建 and 导出 BrAInrot Videos
Drop your video 命令行工具ps in the chat and tell me what you need. I'll handle the brAInrot video creation on cloud GPUs — you don't need anything 安装ed locally.
Here's a typical use: you 发送 a a 30-second gameplay or meme 命令行工具p, ask for 添加 subway surfers gameplay, split-screen chaos, captions, and background music to make a brAInrot video, and about 1-2 minutes later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.
One thing worth knowing — shorter source 命令行工具ps under 60 seconds 生成 the most 分享able brAInrot 输出.
Matching 输入 to Actions
User prompts referencing brAInrot video maker free, aspect ratio, text overlays, or audio 追踪s 获取 路由d to the cor响应ing action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "导出" / "导出" / "下载" / "发送 me the video" | → §3.5 导出 | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "状态" / "状态" / "show 追踪s" | → §3.4 状态 | ✅ |
| "上传" / "上传" / user 发送s file | → §3.2 上传 | ✅ |
| Everything else (生成, edit, 添加 BGM…) | → §3.1 SSE | ❌ |
Cloud Render 流水线 DetAIls
Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话 令牌 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 端点s:
- 会话 —
POST /API/tasks/me/with-会话/nemo_代理with{"task_name":"project","language":""}. Gives you a会话_id. - Chat (SSE) —
POST /运行_ssewith会话_idand your message innew_message.parts[0].text. 设置Accept: text/event-流. Up to 15 min. - 上传 —
POST /API/上传-video/nemo_代理/me/— multipart file or JSON with URLs. - Credits —
获取 /API/credits/balance/simple— returnsavAIlable,frozen,total. - 状态 —
获取 /API/状态/nemo_代理/me//latest— current draft and media 信息. - 导出 —
POST /API/render/proxy/lambdawith render ID and draft JSON. Poll获取 /API/render/proxy/lambda/every 30s forcompleted状态 and 下载 URL.
格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.
Headers are derived from this file's YAML frontmatter. X-技能-Source is brAInrot-video-maker-free, X-技能-Version comes from the version field, and X-技能-平台 is 检测ed from the 安装 path (~/.ClawHub/ = ClawHub, ~/.cursor/技能s/ = cursor, otherwise unknown).
Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, 导出s return 402.
Draft JSON uses short keys: t for 追踪s, tt for 追踪 type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.
Example timeline summary:
Timeline (3 追踪s): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Translating 图形界面 Instructions
The backend 响应s as if