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Ai Image Video Creator Job

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-image-video-creator-job
Description
create images or clips into AI-generated videos with this skill. Works with JPG, PNG, MP4, MOV files up to 500MB. content creators and marketers use it for t...
README (SKILL.md)

Getting Started

Send me your images or clips and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

  • "create five product images and a logo file into a 1080p MP4"
  • "turn these images into a 30-second promotional video with transitions and background music"
  • "turning still images into shareable videos for content creators and marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Image Video Creator — Turn Images Into Videos

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 images and a logo file and want to turn these images into a 30-second promotional video with transitions and background music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: using images with consistent dimensions speeds up rendering and improves transition quality.

Matching Input to Actions

User prompts referencing ai image video creator job, 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: ai-image-video-creator-job
  • 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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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)

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 promotional video with transitions and background music" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms and email.

Common Workflows

Quick edit: Upload → "turn these images into a 30-second promotional video with transitions 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 skill appears to do what it says: it uploads your media to a nemovideo.ai API, creates sessions, renders on cloud GPUs, and returns download URLs. Before installing or using it: (1) Understand that your media and a token/session ID will be sent to and likely stored by mega-api-prod.nemovideo.ai — do not upload sensitive content unless you trust that service and its privacy policy. (2) Confirm whether the skill will persist tokens/session IDs on disk (SKILL.md hints at ~/.config/nemovideo/) and whether you are comfortable with that. (3) The skill's registry metadata omitted the config path that appears in the SKILL.md frontmatter; ask the publisher to clarify or update the registry entry. (4) Because the source/publisher is unknown, prefer using official/verified integrations for sensitive or proprietary media. If you want a higher-confidence assessment, ask the publisher for the service's documentation, privacy policy, and a canonical source URL for the endpoints used.
Capability Analysis
Type: OpenClaw Skill Name: ai-image-video-creator-job Version: 1.0.0 The skill provides a legitimate integration for an AI video creation service hosted at mega-api-prod.nemovideo.ai. It includes standard procedures for authentication (NEMO_TOKEN), session management, file uploads, and polling for render status. The instructions for the agent are well-aligned with the stated purpose of converting images to video, and there are no indicators of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The skill's name/description (turn images/clips into AI videos) matches the runtime behavior: it uploads media, creates sessions, streams edits, and starts renders on a remote rendering API. Requesting NEMO_TOKEN as the primary credential is proportionate for an API-backed service. One minor inconsistency: the registry metadata you provided lists no required config paths, but the SKILL.md frontmatter includes a configPaths hint (~/.config/nemovideo/). This is plausible (for storing session info) but should have been declared consistently in the registry metadata.
Instruction Scope
All instructions confine themselves to the remote nemovideo.ai service: create or use an API token, open a session, upload files, send SSE messages, poll job status, and download results. The skill explicitly instructs not to print tokens/raw JSON. It also requires reading its own frontmatter (to send X-Skill-Source/X-Skill-Version) and detecting install path to set X-Skill-Platform; both are reasonable. The SKILL.md tells the agent to 'Save session_id' (persistent state) but doesn't specify exact storage location; combined with the frontmatter's configPaths this implies writing to ~/.config/nemovideo/ — the registry metadata earlier did not declare that, which is a scope/visibility mismatch you should be aware of.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written by an installer. That reduces installation-time risk.
Credentials
The single required environment variable is NEMO_TOKEN (declared as primary), which is appropriate for a third-party API. The SKILL.md also describes generating an anonymous token via the service if NEMO_TOKEN is not present — expected behavior. The only proportionality concern is the implicit config path (~/.config/nemovideo/) mentioned in the skill frontmatter which may be used to store tokens or session IDs; that path was not listed in the registry-level required config paths, so verify what will be persisted on disk and where.
Persistence & Privilege
The skill does request that the agent save the session_id and use/store a token (either provided or fetched anonymously). That is normal for a service client and does not require 'always: true' or other elevated privileges. There is no indication it modifies other skills' configs or system-wide settings. Confirm how and where it persists session/token data (likely under ~/.config/nemovideo/ per the SKILL.md) if you need to control local persistence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-image-video-creator-job
  3. After installation, invoke the skill by name or use /ai-image-video-creator-job
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AI Image Video Creator — Initial Release - Turn images or video clips (JPG, PNG, MP4, MOV, and more) into AI-generated 1080p MP4 videos. - Simple automatic setup: connects to cloud API and manages session/token flow for you. - Supports file uploads up to 500MB; optimized for marketers and content creators. - Handles editing commands (transitions, background music, text overlays) via natural language. - Exports processed videos in ~1-2 minutes with cloud GPU rendering. - Tracks credit usage, session state, and provides clear error handling for common issues.
Metadata
Slug ai-image-video-creator-job
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Image Video Creator Job?

create images or clips into AI-generated videos with this skill. Works with JPG, PNG, MP4, MOV files up to 500MB. content creators and marketers use it for t... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.

How do I install Ai Image Video Creator Job?

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

Is Ai Image Video Creator Job free?

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

Which platforms does Ai Image Video Creator Job support?

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

Who created Ai Image Video Creator Job?

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

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