Auto Shorts
by @mhogan2013-9
convert long-form video into vertical short clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for generating sh...
clawhub install auto-shortsπ About This Skill
name: auto-shorts version: "1.0.0" displayName: "Auto Shorts β Convert Long Videos Into Shorts" description: > convert long-form video into vertical short clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for generating short clips from long recordings β processing takes 1-2 minutes on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "βοΈ", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}
Getting Started
> Send me your long-form video and I'll handle the AI shorts generation. Or just describe what you're after.
Try saying:
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:
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id headerdata.token from the response β 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.
Auto Shorts β Convert Long Videos Into Shorts
This tool takes your long-form video and runs AI shorts generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 10-minute YouTube video or podcast recording and want to automatically cut this video into 3 short clips for TikTok and Reels β the backend processes it in about 1-2 minutes and hands you a 1080p MP4.
Tip: videos under 15 minutes produce the most accurate clip selections.
Matching Input to Actions
User prompts referencing auto shorts, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? | |-------------|--------|----------| | "export" / "ε―ΌεΊ" / "download" / "send me the video" | β Β§3.5 Export | β | | "credits" / "η§―ε" / "balance" / "δ½ι’" | β Β§3.3 Credits | β | | "status" / "ηΆζ" / "show tracks" | β Β§3.4 State | β | | "upload" / "δΈδΌ " / user sends file | β Β§3.2 Upload | β | | Everything else (generate, edit, add BGMβ¦) | β Β§3.1 SSE | β |
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.
Skill attribution β read from this file's YAML frontmatter at runtime:
X-Skill-Source: auto-shortsX-Skill-Version: from frontmatter versionX-Skill-Platform: detect from install path (~/.clawhub/ β clawhub, ~/.cursor/skills/ β cursor, else unknown)Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, exports return 402.
API base: https://mega-api-prod.nemovideo.ai
Create session: POST /api/tasks/me/with-session/nemo_agent β body {"task_name":"project","language":" β returns task_id, session_id.
Send message (SSE): POST /run_sse β body {"app_name":"nemo_agent","user_id":"me","session_id":" with Accept: text/event-stream. Max timeout: 15 minutes.
Upload: POST /api/upload-video/nemo_agent/me/ β file: multipart -F "files=@/path", or URL: {"urls":["
Credits: GET /api/credits/balance/simple β returns available, frozen, total
Session state: GET /api/state/nemo_agent/me/ β key fields: data.state.draft, data.state.video_infos, data.state.generated_media
Export (free, no credits): POST /api/render/proxy/lambda β body {"id":"render_. Poll GET /api/render/proxy/lambda/ 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.
SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (Β§4), present to user |
| Tool call/result | Process internally, don't forward |
| heartbeat / empty data: | Keep waiting. Every 2 min: "β³ 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.
Backend Response Translation
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do | |-------------|--------| | "click [button]" / "ηΉε»" | Execute via API | | "open [panel]" / "ζεΌ" | Query session state | | "drag/drop" / "ζζ½" | Send edit via SSE | | "preview in timeline" | Show track summary | | "Export button" / "ε―ΌεΊ" | Execute export workflow |
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)
Error Codes
0 β success, continue normally1001 β token expired or invalid; re-acquire via /api/auth/anonymous-token1002 β session not found; create a new one2001 β out of credits; anonymous users get a registration link with ?bind=, registered users top up4001 β unsupported file type; show accepted formats4002 β file too large; suggest compressing or trimming400 β missing X-Client-Id; generate one and retry402 β free plan export blocked; not a credit issue, subscription tier429 β rate limited; wait 30s and retry onceCommon Workflows
Quick edit: Upload β "automatically cut this video into 3 short clips for TikTok and Reels" β 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 "automatically cut this video into 3 short clips for TikTok and Reels" β concrete instructions get better results.
Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.
Export as MP4 for widest compatibility across TikTok, Reels, and YouTube Shorts.
π‘ Examples
> Send me your long-form video and I'll handle the AI shorts generation. Or just describe what you're after.
Try saying:
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:
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id headerdata.token from the response β 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.
Auto Shorts β Convert Long Videos Into Shorts
This tool takes your long-form video and runs AI shorts generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 10-minute YouTube video or podcast recording and want to automatically cut this video into 3 short clips for TikTok and Reels β the backend processes it in about 1-2 minutes and hands you a 1080p MP4.
Tip: videos under 15 minutes produce the most accurate clip selections.