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vcarolxhberger

Image To Video Editing Ai

by vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install image-to-video-editing-ai
Description
Get animated video clips ready to post, without touching a single slider. Upload your static images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "...
README (SKILL.md)

Getting Started

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

Try saying:

  • "convert my static images"
  • "export 1080p MP4"
  • "turn these images into a 30-second"

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.

Image to Video Editing AI — Convert Images Into Video Clips

Send me your static images 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 three product photos in JPG format, type "turn these images into a 30-second video with smooth transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: using images with consistent aspect ratios produces smoother transitions.

Matching Input to Actions

User prompts referencing image to video editing ai, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: 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 image-to-video-editing-ai, 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.

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)

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

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.

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

Common Workflows

Quick edit: Upload → "turn these images into a 30-second video with smooth transitions and background music" → Download MP4. Takes 30-60 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 "turn these images into a 30-second video with smooth transitions and background music" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, WEBP, HEIC for the smoothest experience.

Export as MP4 for widest compatibility across all platforms.

Usage Guidance
This skill is coherent with its description: it will upload your images to the nemovideo backend and use a NEMO_TOKEN (or obtain a short-lived anonymous token) to create sessions, run renders, and return download URLs. Consider: (1) you will be sending media to an external service — avoid uploading sensitive/private images unless you trust the provider; (2) the skill may probe common install paths to set a platform header; if you dislike that, ask for clarification or decline; (3) there is no homepage or publisher info in the metadata — verify the service independently before providing a permanent NEMO_TOKEN (use an ephemeral or limited-scope token if possible). If you need stronger assurance, request the provider's privacy/security documentation or prefer tools with known provenance.
Capability Analysis
Type: OpenClaw Skill Name: image-to-video-editing-ai Version: 1.0.0 The skill provides a functional interface for an image-to-video AI service hosted at nemovideo.ai. It includes detailed instructions for the agent to manage sessions, handle file uploads, and poll for video rendering status. While it requests access to a specific configuration path (~/.config/nemovideo/) and an environment variable (NEMO_TOKEN), these are appropriately scoped to the service's stated purpose. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (convert images into short videos) align with the declared requirement (NEMO_TOKEN) and the SKILL.md instructions (upload endpoints, render/export flow). The config path (~/.config/nemovideo/) and the single primary env var (NEMO_TOKEN) are proportionate to a cloud-rendering service.
Instruction Scope
Instructions require uploading user images and sending requests to https://mega-api-prod.nemovideo.ai (session creation, SSE chat, upload, export/poll). This is expected for a hosted render service, but it does mean the skill will transmit user media and metadata to that external backend. The SKILL.md also instructs the agent to detect install path strings (~/.clawhub/, ~/.cursor/skills/) to set an X-Skill-Platform header — that implies probing some filesystem locations beyond the declared config path, which is not strictly necessary for core functionality.
Install Mechanism
No install spec and no code files are included (instruction-only). That minimizes disk-write/execution risks; agent behavior is purely network/API calls per SKILL.md.
Credentials
Only NEMO_TOKEN is declared as required and used for Bearer authorization. The instructions also describe acquiring an anonymous token via an API call if NEMO_TOKEN isn't present — reasonable but means the skill can obtain and store a token itself. The declared config path (~/.config/nemovideo/) is proportionate (session/cache storage) but the implicit filesystem probing for platform detection is extra and should be considered.
Persistence & Privilege
always:false and no install actions or modifications to other skills are requested. The skill can be invoked autonomously by the agent (default behavior) but it does not request elevated or permanent platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install image-to-video-editing-ai
  3. After installation, invoke the skill by name or use /image-to-video-editing-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Image to Video Editing AI. - Instantly converts static images (JPG, PNG, WEBP, HEIC) into 1080p MP4 videos with AI-driven editing and smooth transitions. - Simple upload and prompt-based editing; no technical knowledge or manual timeline editing required. - Supports user-provided instructions (e.g., duration, transitions, background music). - Built-in cloud GPU rendering; delivers downloadable video links within minutes. - Handles user session, authentication, and credits automatically (with free starter token for new users). - Includes export, credits, upload, and timeline status features for a complete end-to-end workflow.
Metadata
Slug image-to-video-editing-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Image To Video Editing Ai?

Get animated video clips ready to post, without touching a single slider. Upload your static images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "... It is an AI Agent Skill for Claude Code / OpenClaw, with 80 downloads so far.

How do I install Image To Video Editing Ai?

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

Is Image To Video Editing Ai free?

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

Which platforms does Image To Video Editing Ai support?

Image To Video Editing Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Image To Video Editing Ai?

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

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