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tk8544-b

Image To Video Ai Movement

by tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install image-to-video-ai-movement
Description
Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "a...
README (SKILL.md)

Getting Started

Share your still images and I'll get started on AI motion generation. Or just tell me what you're thinking.

Try saying:

  • "animate my still images"
  • "export 1080p MP4"
  • "animate this image with a slow"

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 AI Movement — Animate Images into Video Clips

This tool takes your still images and runs AI motion generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a single product photo or portrait image and want to animate this image with a slow zoom and subtle motion effect — the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

Tip: images with clear subjects and simple backgrounds produce smoother motion results.

Matching Input to Actions

User prompts referencing image to video ai movement, 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 image-to-video-ai-movement, 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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "animate this image with a slow zoom and subtle motion effect" — 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 social platforms.

Common Workflows

Quick edit: Upload → "animate this image with a slow zoom and subtle motion effect" → 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.

Usage Guidance
This skill appears to do what it says: it uploads your images to mega-api-prod.nemovideo.ai and returns rendered video files. Before installing, consider: (1) You will need to provide a NEMO_TOKEN or allow the skill to request an anonymous token from nemovideo.ai — if you provide a token it will be sent as a Bearer credential on API calls. (2) Your images and any prompt text are uploaded to a third-party service; avoid sending sensitive private data. (3) Confirm the apparent metadata inconsistency: SKILL.md references a local config path (~/.config/nemovideo/) and install-path detection (to set X-Skill-Platform) even though the registry listing did not declare config paths — ask the author whether the skill reads those paths and what it stores locally. (4) If you need stronger privacy, run this only with throwaway/anonymous credentials or test with non-sensitive images first.
Capability Analysis
Type: OpenClaw Skill Name: image-to-video-ai-movement Version: 1.0.0 The skill bundle provides a legitimate integration for an image-to-video animation service hosted at mega-api-prod.nemovideo.ai. It contains standard logic for session management, file uploads, and credit tracking, with no evidence of data exfiltration, malicious code execution, or harmful instructions in SKILL.md.
Capability Assessment
Purpose & Capability
The skill is presented as a cloud-based image→video renderer and the single required credential (NEMO_TOKEN) and network endpoints align with that purpose. Note: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) and describes detecting install paths (e.g., ~/.clawhub/) to set an X-Skill-Platform header; the registry metadata did not declare required config paths. This is an inconsistency worth confirming (the skill may read the agent's install path or a per-user nemovideo config).
Instruction Scope
Runtime instructions stay within the described scope: create or use a token, create a session, upload media, call render/export endpoints, and handle SSE or polling. It does not instruct reading unrelated files or environment variables beyond token/optional config path and checking install path to set attribution headers.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest installation risk. All network interactions are to the documented nemovideo API host; no downloads or arbitrary code execution are specified.
Credentials
Only a single service credential (NEMO_TOKEN) is required, which matches a cloud rendering service. The skill also supports obtaining a short-lived anonymous token if none is provided — this behavior is documented in SKILL.md and is proportionate.
Persistence & Privilege
The skill is not force-included (always: false) and does not request system-level persistence or modification of other skills. It uses ephemeral session IDs and cloud-side job IDs for renders.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install image-to-video-ai-movement
  3. After installation, invoke the skill by name or use /image-to-video-ai-movement
  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 AI Movement" skill. - Upload still images and generate 1080p MP4 animated video clips with AI-driven motion effects—no manual animation needed. - Simple, fast workflow: connect, upload images, describe animation style, and download results. - Automatic session and token management, including free trial credits for new users. - Supports checking credits, session status, exports, and multi-file batch processing. - Friendly status updates and error handling throughout the editing and rendering pipeline.
Metadata
Slug image-to-video-ai-movement
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 Ai Movement?

Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "a... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.

How do I install Image To Video Ai Movement?

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

Is Image To Video Ai Movement free?

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

Which platforms does Image To Video Ai Movement support?

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

Who created Image To Video Ai Movement?

It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.

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