Music Visualizer Video Maker Free

Turn a 3-minute MP3 track into 1080p animated visualizer videos just by typing what you need. Whether it's turning audio tracks into shareable visualizer vid...

Security Scan

The skill's requested credential and runtime steps are consistent with a cloud-based audio->video rendering service, but there are a few small inconsistencies (metadata asking for a config path and auto-detect behavior) worth clarifying before installing.

Purpose & Capability

Name/description (audio → visualizer videos) aligns with required credential NEMO_TOKEN and the SKILL.md which describes uploading audio, creating sessions, and remote rendering. Nothing else (e.g., cloud provider creds or unrelated tokens) is requested.

Instruction Scope

Runtime instructions stay within the stated service: authenticate (or obtain anonymous token), create a session, upload audio, stream edits via SSE, poll export status, and return download URL. The agent is explicitly instructed not to print tokens or raw JSON. No instructions ask the agent to read arbitrary system files or unrelated env vars. Minor note: SKILL.md requires adding attribution headers and 'auto-detect' X-Skill-Platform from an install path, which may imply reading environment/install paths — the file does not explain how to detect this safely.

Install Mechanism

Instruction-only skill with no install spec or code files — minimal risk from installation. Nothing is downloaded or written to disk by an installer step in the skill itself.

Credentials

Only NEMO_TOKEN is declared as required (and is the primary credential), which is appropriate for an API-driven rendering service. However, the skill metadata also lists a config path (~/.config/nemovideo/) that the instructions never use or justify; clarify whether the agent will read that path (which could contain stored tokens or config).

Persistence & Privilege

No privileged flags (always:true) and agent-autonomy defaults are normal. The skill does not request modifying other skills or global agent settings.

Assessment

This skill appears to do what it says: it uses one API token (NEMO_TOKEN) and sends uploaded audio to mega-api-prod.nemovideo.ai for server-side rendering. Before installing, confirm: (1) you are comfortable uploading audio to that external service and agree with its privacy/retention policy; (2) whether the skill will read ~/.config/nemovideo/ (metadata mentions it but SKILL.md doesn’t); (3) how X-Skill-Platform should be determined (the skill asks to auto-detect from an install path, which could require filesystem access). If you don't want to share your own token, the skill supports obtaining a short-lived anonymous token via the provided endpoint, but be aware uploads and rendering happen remotely.

Getting Started

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

Try saying:

• "convert my audio files"
• "export 1080p MP4"
• "create a music visualizer video with"

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: <uuid>. 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.

Music Visualizer Video Maker Free — Turn Audio Into Visualizer Videos

Send me your audio files and describe the result you want. The AI visualizer creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute MP3 track, type "create a music visualizer video with waveform animation synced to the beat", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter audio clips under 2 minutes render noticeably faster.

Matching Input to Actions

User prompts referencing music visualizer video maker free, 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. Session — POST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. 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. Upload — POST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
4. Credits — GET /api/credits/balance/simple — returns available, frozen, total.
5. State — GET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
6. Export — POST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> 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	music-visualizer-video-maker-free
X-Skill-Version	frontmatter version
X-Skill-Platform	auto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 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)

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

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=<id> (get <id> 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 "create a music visualizer video with waveform animation synced to the beat" — concrete instructions get better results.

Max file size is 200MB. Stick to MP3, WAV, AAC, FLAC for the smoothest experience.

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

Common Workflows

Quick edit: Upload → "create a music visualizer video with waveform animation synced to the beat" → 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.