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peand-rover

Non Toxic Air Fryer

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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Install in OpenClaw
/install non-toxic-air-fryer
Description
create product video clips into polished product videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. health lifestyle creators use it f...
README (SKILL.md)

Getting Started

Share your product video clips and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

  • "create my product video clips"
  • "export 1080p MP4"
  • "create a product review video highlighting"

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-token with the X-Client-Id header
  • The response includes a token with 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.

Non Toxic Air Fryer — Create healthy cooking product videos

Send me your product video clips and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 60-second kitchen product demo recording, type "create a product review video highlighting non-toxic materials and healthy cooking features", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter demo clips under 2 minutes process faster and keep viewer attention on key product features.

Matching Input to Actions

User prompts referencing non toxic air fryer, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: non-toxic-air-fryer
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: 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.

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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

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)

Common Workflows

Quick edit: Upload → "create a product review video highlighting non-toxic materials and healthy cooking features" → 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 "create a product review video highlighting non-toxic materials and healthy cooking features" — 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 YouTube, Instagram, and Amazon product listings.

How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install non-toxic-air-fryer
  3. After installation, invoke the skill by name or use /non-toxic-air-fryer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Non Toxic Air Fryer skill. - Upload and edit healthy kitchen product videos up to 500MB (MP4, MOV, AVI, WebM). - Cloud-based AI video creation with fast 1080p MP4 exports (1–2 minutes). - Supports review/explainer video workflows: clip upload, edit, preview, export. - Automated handling of session setup, API connection, and credit/token management. - User-friendly prompts for common actions: export, check credits, upload, and timeline state. - Robust error handling and guidance for video formats and export issues.
Metadata
Slug non-toxic-air-fryer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Non Toxic Air Fryer?

create product video clips into polished product videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. health lifestyle creators use it f... It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.

How do I install Non Toxic Air Fryer?

Run "/install non-toxic-air-fryer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Non Toxic Air Fryer free?

Yes, Non Toxic Air Fryer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Non Toxic Air Fryer support?

Non Toxic Air Fryer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Non Toxic Air Fryer?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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