Skills free-suno-ai

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/free-suno-ai" ~/.claude/skills/clawdbot-skills-free-suno-ai && rm -rf "$T"

manifest: skills/bwbernardweston18/free-suno-ai/SKILL.md

source content

Getting Started

Got text prompts to work with? Send it over and tell me what you need — I'll take care of the AI music generation.

Try saying:

"generate a short text description like 'upbeat pop song about summer' into a 1080p MP4"
"generate a 30-second background track from a mood description"
"generating AI music and pairing it with video content for free for content creators"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

NEMO_TOKEN

is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

Generate a UUID as client identifier

POST to

https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token

with the

X-Client-Id

header

The response includes a
```
token
```
with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to

https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent

with Bearer authorization and body

{"task_name":"project","language":"en"}

. The

session_id

in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Free Suno AI — Generate AI Music for Videos

Send me your text prompts and describe the result you want. The AI music generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a short text description like 'upbeat pop song about summer', type "generate a 30-second background track from a mood description", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter prompts with clear mood and genre descriptions produce the most usable results.

Matching Input to Actions

User prompts referencing free suno ai, 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 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.

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

Header Value

X-Skill-Source

free-suno-ai

X-Skill-Version

frontmatter

version

X-Skill-Platform

auto-detect:

clawhub

cursor

unknown

from install path

API base:

https://mega-api-prod.nemovideo.ai

Create session: POST

/api/tasks/me/with-session/nemo_agent

— body

{"task_name":"project","language":"<lang>"}

— returns

task_id

session_id

Send message (SSE): POST

/run_sse

— body

{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}

with

Accept: text/event-stream

. Max timeout: 15 minutes.

Upload: POST

/api/upload-video/nemo_agent/me/<sid>

— file: multipart

-F "files=@/path"

, or URL:

{"urls":["<url>"],"source_type":"url"}

Credits: GET

/api/credits/balance/simple

— returns

available

frozen

total

Session state: GET

/api/state/nemo_agent/me/<sid>/latest

— key fields:

data.state.draft

data.state.video_infos

data.state.generated_media

Export (free, no credits): POST

/api/render/proxy/lambda

— body

{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}

. Poll GET

/api/render/proxy/lambda/<id>

every 30s until

status

completed

. Download URL at

output.url

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

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

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

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.

Draft JSON uses short keys:

for tracks,

tt

for track type (0=video, 1=audio, 7=text),

sg

for segments,

for duration in ms,

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 30-second background track from a mood description" — concrete instructions get better results.

Max file size is 200MB. Stick to MP3, WAV, MP4, MOV for the smoothest experience.

Export as MP4 to keep audio and visual elements synced in one file.

Common Workflows

Quick edit: Upload → "generate a 30-second background track from a mood description" → 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.