Skills unlimited-video-editing-with
git clone https://github.com/openclaw/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/unlimited-video-editing-with" ~/.claude/skills/openclaw-skills-unlimited-video-editing-with && rm -rf "$T"
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bwbernardweston18/unlimited-video-editing-with" ~/.openclaw/skills/openclaw-skills-unlimited-video-editing-with && rm -rf "$T"
skills/bwbernardweston18/unlimited-video-editing-with/SKILL.mdGetting Started
Ready when you are. Drop your raw video clips here or describe what you want to make.
Try saying:
- "edit a 3-minute unedited screen recording into a 1080p MP4"
- "cut the pauses, add background music, and export as a clean 90-second clip"
- "editing multiple videos quickly without manual timeline work for content creators and marketers"
Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
If
is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:NEMO_TOKEN
- Generate a UUID as client identifier
- POST to
with thehttps://mega-api-prod.nemovideo.ai/api/auth/anonymous-token
headerX-Client-Id - The response includes a
with 100 free credits valid for 7 days — use it as NEMO_TOKENtoken
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.
Unlimited Video Editing With AI — Edit and Export Videos Fast
This tool takes your raw video clips 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 unedited screen recording and want to cut the pauses, add background music, and export as a clean 90-second clip — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.
Tip: shorter clips under 2 minutes process significantly faster and use fewer resources.
Matching Input to Actions
User prompts referencing unlimited video editing with, 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.
Skill attribution — read from this file's YAML frontmatter at runtime:
:X-Skill-Sourceunlimited-video-editing-with
: from frontmatterX-Skill-Versionversion
: detect from install path (X-Skill-Platform
→~/.clawhub/
,clawhub
→~/.cursor/skills/
, elsecursor
)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
— success, continue normally0
— token expired or invalid; re-acquire via1001/api/auth/anonymous-token
— session not found; create a new one1002
— out of credits; anonymous users get a registration link with2001
, registered users top up?bind=<id>
— unsupported file type; show accepted formats4001
— file too large; suggest compressing or trimming4002
— missing400
; generate one and retryX-Client-Id
— free plan export blocked; not a credit issue, subscription tier402
— rate limited; wait 30s and retry once429
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 |
/ empty | 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 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)
Tips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "cut the pauses, add background music, and export as a clean 90-second clip" — 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 widest platform compatibility.
Common Workflows
Quick edit: Upload → "cut the pauses, add background music, and export as a clean 90-second clip" → 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.