Getting Started

Send me your screen recordings and I'll handle the AI video editing. Or just describe what you're after.

Try saying:

• "edit a 3-minute screen recording of a software walkthrough into a 1080p MP4"
• "trim the pauses, add captions, and export as a clean tutorial video"
• "trimming and enhancing screen recordings for tutorials or demos for educators, developers, and content creators"

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

Free token: Generate a UUID as client identifier, then POST to

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

X-Client-Id: <uuid>

data.token

Session: POST to

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

{"task_name":"project"}

session_id

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Best Screen Recording Editor — Edit and Export Screen Recordings

This tool takes your screen recordings and runs AI video editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute screen recording of a software walkthrough and want to trim the pauses, add captions, and export as a clean tutorial video — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: trim dead air and long pauses first — it makes the rest of the edit feel much tighter.

Matching Input to Actions

User prompts referencing best screen recording editor, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

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.

Headers are derived from this file's YAML frontmatter.

X-Skill-Source

best-screen-recording-editor

X-Skill-Version

version

X-Skill-Platform

~/.clawhub/

clawhub

~/.cursor/skills/

cursor

unknown

Every API call needs

Authorization: Bearer <NEMO_TOKEN>

API base:

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

Create session: POST

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

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

task_id

session_id

Send message (SSE): POST

/run_sse

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

Accept: text/event-stream

Upload: POST

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

-F "files=@/path"

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

Credits: GET

/api/credits/balance/simple

available

frozen

total

Session state: GET

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

data.state.draft

data.state.video_infos

data.state.generated_media

Export (free, no credits): POST

/api/render/proxy/lambda

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

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

status

completed

output.url

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

SSE Event Handling

heartbeat

data:

~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.

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

Draft JSON uses short keys:

t

tt

sg

d

m

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)

Error Handling

?bind=<id>

<id>

Common Workflows

Quick edit: Upload → "trim the pauses, add captions, and export as a clean tutorial 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 "trim the pauses, add captions, and export as a clean tutorial video" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for the best balance of quality and file size.