Skills free-hailuo-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 "$T/skills/bwbernardweston18/free-hailuo-ai" ~/.claude/skills/clawdbot-skills-free-hailuo-ai && rm -rf "$T"

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

source content

Getting Started

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

Try saying:

"generate a short text description of a scene into a 1080p MP4"
"generate a 5-second video of a sunset over the ocean with cinematic motion"
"generating short AI videos from text or image prompts for content creators, social media users, marketers"

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.

Free Hailuo AI — Generate AI Videos From Prompts

Drop your text prompts or images in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short text description of a scene, ask for generate a 5-second video of a sunset over the ocean with cinematic motion, and about 30-90 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter, more specific prompts tend to produce more accurate and usable video results.

Matching Input to Actions

User prompts referencing free hailuo 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 calls go to

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

. The main endpoints:

Session —

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

with

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

. Gives you a

session_id

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.

Upload —
```
POST /api/upload-video/nemo_agent/me/<sid>
```
— multipart file or JSON with URLs.

Credits —

GET /api/credits/balance/simple

— returns

available

frozen

total

State —

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

— current draft and media info.

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.

Headers are derived from this file's YAML frontmatter.

X-Skill-Source

free-hailuo-ai

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

Every API call needs

Authorization: Bearer <NEMO_TOKEN>

plus the three attribution headers above. If any header is missing, exports return 402.

Draft field mapping:

=tracks,

tt

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

sg

=segments,

=duration(ms),

=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=<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

Common Workflows

Quick edit: Upload → "generate a 5-second video of a sunset over the ocean with cinematic motion" → Download MP4. Takes 30-90 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 5-second video of a sunset over the ocean with cinematic motion" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, JPG, PNG, WebM for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and devices.