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whitejohnk-26

Video Miricanvas

by whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install video-miricanvas
Description
Get polished video clips ready to post, without touching a single slider. Upload your images or clips (MP4, MOV, PNG, JPG, up to 500MB), say something like "...
README (SKILL.md)

Getting Started

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

Try saying:

  • "create my images or clips"
  • "export 1080p MP4"
  • "create a 30-second promotional video with"

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:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — 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.

Video Miricanvas — Create Videos from Images

This tool takes your images or clips and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have five product photos and a logo file and want to create a 30-second promotional video with text overlays and background music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: using fewer images per scene keeps transitions smooth and processing fast.

Matching Input to Actions

User prompts referencing video miricanvas, 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 video-miricanvas, 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).

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, 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 §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

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create a 30-second promotional video with text overlays and background music" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, PNG, JPG for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

Common Workflows

Quick edit: Upload → "create a 30-second promotional video with text overlays and background music" → 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.

Usage Guidance
This looks safe for its stated purpose if you expect cloud video processing. Before installing, confirm you trust the NEMO/Miricanvas backend, avoid uploading sensitive media unless you understand the provider’s data handling, and protect the NEMO_TOKEN like any other service credential.
Capability Analysis
Type: OpenClaw Skill Name: video-miricanvas Version: 1.0.0 The skill provides instructions for an AI agent to interface with the `nemovideo.ai` API to automate video creation from images and clips. It includes standard procedures for anonymous authentication, session management, file uploads, and polling for render status. While it includes telemetry-like headers (e.g., `X-Skill-Platform` derived from the installation path), the behavior is transparently documented and directly supports the stated functionality without evidence of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
The described capabilities—uploading media, creating/editing videos, and exporting MP4s—match the stated video-creation purpose.
Instruction Scope
The skill gives the agent specific cloud API workflows, including automatic first-use token/session setup and render/export operations; these are purpose-aligned and bounded to the video backend.
Install Mechanism
There is no local install code or executable helper, but the listing shows unknown source and no homepage, which limits independent provenance checking.
Credentials
Use of NEMO_TOKEN and cloud upload of user-provided media is proportional to the purpose, but it is still sensitive account/data handling users should understand.
Persistence & Privilege
The artifacts show short-lived cloud tokens and session IDs for render jobs, but no local background process, self-propagation, or persistent autonomous behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-miricanvas
  3. After installation, invoke the skill by name or use /video-miricanvas
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video Miricanvas 1.0.0 — Initial Release - Create polished videos from images or clips in minutes, using natural language prompts. - Upload files (MP4, MOV, PNG, JPG up to 500MB) and describe your desired video; receive a 1080p MP4 export. - Automatic setup with cloud backend, including free credits on first use. - Built-in workflow support for uploading, editing, checking status, and exporting videos. - Error handling for common issues such as file type, token expiration, and export eligibility. - Designed for marketers and creators who need fast, branded video output without editing software.
Metadata
Slug video-miricanvas
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Miricanvas?

Get polished video clips ready to post, without touching a single slider. Upload your images or clips (MP4, MOV, PNG, JPG, up to 500MB), say something like "... It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.

How do I install Video Miricanvas?

Run "/install video-miricanvas" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video Miricanvas free?

Yes, Video Miricanvas is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video Miricanvas support?

Video Miricanvas is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Miricanvas?

It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.

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