Ai Rtk Compressor
/install ai-rtk-compressor
Getting Started
Send me your raw video footage and I'll handle the AI RTK compression. Or just describe what you're after.
Try saying:
- "compress a 2-minute 4K drone footage file at 800MB into a 1080p MP4"
- "compress this video using RTK encoding to reduce file size without losing quality"
- "reducing large video file sizes for sharing or uploading for content creators, videographers"
Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:
- Generate a UUID as client identifier
- POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith theX-Client-Idheader - The response includes a
tokenwith 100 free credits valid for 7 days — use it as NEMO_TOKEN
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.
AI RTK Compressor — Compress and Export Smaller Videos
Drop your raw video footage in the chat and tell me what you need. I'll handle the AI RTK compression on cloud GPUs — you don't need anything installed locally.
Here's a typical use: you send a a 2-minute 4K drone footage file at 800MB, ask for compress this video using RTK encoding to reduce file size without losing quality, and about 30-90 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.
One thing worth knowing — shorter clips compress faster — split long videos before uploading for best speed.
Matching Input to Actions
User prompts referencing ai rtk compressor, 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.
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":"\x3Clang>"}. 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/\x3Csid> |
POST | Upload a file (multipart) or URL. |
/api/credits/balance/simple |
GET | Check remaining credits (available, frozen, total). |
/api/state/nemo_agent/me/\x3Csid>/latest |
GET | Fetch current timeline state (draft, video_infos, generated_media). |
/api/render/proxy/lambda |
POST | Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s. |
Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-rtk-compressor, 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).
Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.
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 §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account" |
| 4001 | Unsupported file | Show supported formats |
| 4002 | File too large | Suggest compress/trim |
| 400 | Missing X-Client-Id | Generate Client-Id and retry (see §1) |
| 402 | Free plan export blocked | Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export." |
| 429 | Rate limit (1 token/client/7 days) | Retry in 30s once |
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.
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 |
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 using RTK encoding to reduce file size without losing quality" → Download MP4. Takes 30-90 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 using RTK encoding to reduce file size without losing quality" — concrete instructions get better results.
Max file size is 2GB. Stick to MP4, MOV, AVI, MKV for the smoothest experience.
H.264 codec gives the best balance of quality and size.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-rtk-compressor - After installation, invoke the skill by name or use
/ai-rtk-compressor - Provide required inputs per the skill's parameter spec and get structured output
What is Ai Rtk Compressor?
Get compressed MP4 files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 2GB), say something like "... It is an AI Agent Skill for Claude Code / OpenClaw, with 99 downloads so far.
How do I install Ai Rtk Compressor?
Run "/install ai-rtk-compressor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Rtk Compressor free?
Yes, Ai Rtk Compressor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Rtk Compressor support?
Ai Rtk Compressor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Rtk Compressor?
It is built and maintained by linmillsd7 (@linmillsd7); the current version is v1.0.0.