Video Trimmer Flutter
by @dsewell-583h0
Get trimmed video clips ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim...
clawhub install video-trimmer-flutterπ About This Skill
name: video-trimmer-flutter version: "1.0.0" displayName: "Video Trimmer Flutter β Trim and Export Video Clips" description: > Get trimmed video clips ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim the first 30 seconds and cut the last 10 seconds of dead air", and download 1080p MP4 when it's done. Built for Flutter developers and mobile app creators who move fast and want to add video trimming functionality without building it from scratch. metadata: {"openclaw": {"emoji": "βοΈ", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}
Getting Started
> Share your video clips and I'll get started on video trimming editing. Or just tell me what you're thinking.
Try saying:
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 environment variable is already set, use it and skip to Session below.
Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: . The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).
Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.
Confirm to the user you're connected and ready. Don't print tokens or raw JSON.
Video Trimmer Flutter β Trim and Export Video Clips
Send me your video clips and describe the result you want. The video trimming editing runs on remote GPU nodes β nothing to install on your machine.
A quick example: upload a 3-minute Flutter tutorial recording, type "trim the first 30 seconds and cut the last 10 seconds of dead air", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.
Worth noting: shorter source clips process faster and reduce export wait time.
Matching Input to Actions
User prompts referencing video trimmer flutter, 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.
Base URL: https://mega-api-prod.nemovideo.ai
| Endpoint | Method | Purpose |
|----------|--------|---------|
| /api/tasks/me/with-session/nemo_agent | POST | Start a new editing session. Body: {"task_name":"project","language":". Returns session_id. |
| /run_sse | POST | Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min. |
| /api/upload-video/nemo_agent/me/ | POST | Upload a file (multipart) or URL. |
| /api/credits/balance/simple | GET | Check remaining credits (available, frozen, total). |
| /api/state/nemo_agent/me/ | GET | Fetch current timeline state (draft, video_infos, generated_media). |
| /api/render/proxy/lambda | POST | Start export. Body: {"id":"render_. Poll status every 30s. |
Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Three attribution headers are required on every request and must match this file's frontmatter:
| Header | Value |
|--------|-------|
| X-Skill-Source | video-trimmer-flutter |
| X-Skill-Version | frontmatter version |
| X-Skill-Platform | auto-detect: clawhub / cursor / unknown from install path |
All requests must include: Authorization: Bearer , X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.
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 Β§3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind= (get
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)
Tips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "trim the first 30 seconds and cut the last 10 seconds of dead air" 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 Android and iOS Flutter apps.
Common Workflows
Quick edit: Upload β "trim the first 30 seconds and cut the last 10 seconds of dead air" β 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.
π‘ Examples
> Share your video clips and I'll get started on video trimming editing. Or just tell me what you're thinking.
Try saying:
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 environment variable is already set, use it and skip to Session below.
Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: . The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).
Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.
Confirm to the user you're connected and ready. Don't print tokens or raw JSON.
Video Trimmer Flutter β Trim and Export Video Clips
Send me your video clips and describe the result you want. The video trimming editing runs on remote GPU nodes β nothing to install on your machine.
A quick example: upload a 3-minute Flutter tutorial recording, type "trim the first 30 seconds and cut the last 10 seconds of dead air", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.
Worth noting: shorter source clips process faster and reduce export wait time.