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linmillsd7

Ai Music Video Maker

by linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-music-video-maker
Description
Turn a 3-minute MP3 song and 10 photos into 1080p synced music videos just by typing what you need. Whether it's creating music videos from songs and images...
README (SKILL.md)

Getting Started

Share your audio files, images and I'll get started on AI music video creation. Or just tell me what you're thinking.

Try saying:

  • "create my audio files, images"
  • "export 1080p MP4"
  • "sync these photos to the beat"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Music Video Maker — Turn Songs Into Music Videos

This tool takes your audio files, images and runs AI music video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute MP3 song and 10 photos and want to sync these photos to the beat of my song and create a music video — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: images with high contrast sync more visually to beat drops.

Matching Input to Actions

User prompts referencing ai music video maker, 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 ai-music-video-maker
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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)

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

Common Workflows

Quick edit: Upload → "sync these photos to the beat of my song and create a music video" → Download MP4. Takes 1-2 minutes 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "sync these photos to the beat of my song and create a music video" — concrete instructions get better results.

Max file size is 500MB. Stick to MP3, WAV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across YouTube, TikTok, and Instagram.

Usage Guidance
This skill appears benign and purpose-aligned for making cloud-rendered music videos. Before installing, understand that your media files and prompts will be uploaded to `mega-api-prod.nemovideo.ai`, and exports may consume service credits tied to the token you use.
Capability Analysis
Type: OpenClaw Skill Name: ai-music-video-maker Version: 1.0.0 The skill bundle provides a legitimate integration for an AI agent to interact with the NemoVideo cloud service (mega-api-prod.nemovideo.ai) for music video generation. It includes detailed instructions for session management, file uploads, and handling Server-Sent Events (SSE), with no evidence of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
The stated purpose, API endpoints, upload/export flow, and user impact align: it creates music videos from user-provided audio and images through a cloud renderer. The main user-facing risk is that potentially private media leaves the local environment.
Instruction Scope
The skill routes user requests such as upload, export, credits, and status into API workflows, and also translates backend GUI-like responses into API actions. This appears bounded to the video-rendering session, but users should be aware before export or credit-consuming actions.
Install Mechanism
There is no install spec and no code files, so there is no local executable behavior to audit. Provenance is limited because the source is listed as unknown and there is no homepage.
Credentials
The NEMO_TOKEN credential and cloud API calls are proportionate to the stated cloud-rendering purpose. Users should still treat the token as account/credit-bearing access.
Persistence & Privilege
The visible instructions keep a session_id for the current workflow and mention cloud render jobs, but do not show background local persistence, self-starting behavior, or privileged local system access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-music-video-maker
  3. After installation, invoke the skill by name or use /ai-music-video-maker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AI Music Video Maker skill — initial release. - Instantly turns a 3-minute MP3 and 10 photos into a 1080p music video via AI and cloud rendering. - Simple upload (audio, images), describe your result, then download a polished video — no timeline editing required. - Automatic cloud session/token setup with 100 free credits (no account needed at first). - Supports quick exports, credit checks, draft previews, and uploading in multiple formats (mp4, mp3, jpg, etc.). - Fast render pipeline (1–2 minutes per video) with clear error handling and user feedback.
Metadata
Slug ai-music-video-maker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Music Video Maker?

Turn a 3-minute MP3 song and 10 photos into 1080p synced music videos just by typing what you need. Whether it's creating music videos from songs and images... It is an AI Agent Skill for Claude Code / OpenClaw, with 37 downloads so far.

How do I install Ai Music Video Maker?

Run "/install ai-music-video-maker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Music Video Maker free?

Yes, Ai Music Video Maker is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Music Video Maker support?

Ai Music Video Maker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Music Video Maker?

It is built and maintained by linmillsd7 (@linmillsd7); the current version is v1.0.0.

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