Getting Started

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

Try saying:

• "compress my video files"
• "export 720p MP4"
• "compress this video to under 10MB"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if

NEMO_TOKEN

is set in the environment. If it is, skip to step 2.

1. Obtain a free token: Generate a random UUID as client identifier. POST to

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

   with header

   X-Client-Id

   set to that UUID. The response

   data.token

   is your NEMO_TOKEN — 100 free credits, valid 7 days.
2. Create a session: POST to

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

   with

   Authorization: Bearer <token>

   ,

   Content-Type: application/json

   , and body

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

   . Store the returned

   session_id

   for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Video Compressor Ezgif — Compress and Export Smaller Videos

Drop your video files in the chat and tell me what you need. I'll handle the AI video compression on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 50MB GIF or MP4 clip, ask for compress this video to under 10MB without losing too much quality, and about 20-40 seconds later you've got a MP4 file ready to download. The whole thing runs at 720p by default.

One thing worth knowing — shorter clips compress faster and give better quality-to-size results.

Matching Input to Actions

User prompts referencing video compressor ezgif, 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.

Every API call needs

Authorization: Bearer <NEMO_TOKEN>

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

Headers are derived from this file's YAML frontmatter.

X-Skill-Source

is

video-compressor-ezgif

,

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

).

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 Codes

• 0

  — success, continue normally

• 1001

  — token expired or invalid; re-acquire via

  /api/auth/anonymous-token

• 1002

  — session not found; create a new one

• 2001

  — out of credits; anonymous users get a registration link with

  ?bind=<id>

  , registered users top up

• 4001

  — unsupported file type; show accepted formats

• 4002

  — file too large; suggest compressing or trimming

• 400

  — missing

  X-Client-Id

  ; generate one and retry

• 402

  — free plan export blocked; not a credit issue, subscription tier

• 429

  — rate limited; wait 30s and retry once

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.

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)

Common Workflows

Quick edit: Upload → "compress this video to under 10MB without losing too much quality" → Download MP4. Takes 20-40 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 "compress this video to under 10MB without losing too much quality" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, GIF, MOV, AVI for the smoothest experience.

H.264 codec gives the best balance of quality and size.