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vynbosserman65

Ai Maker Generator

by vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install ai-maker-generator
Description
Skip the learning curve of professional editing software. Describe what you want — generate a 30-second promotional video from these images with background m...
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:

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

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.

AI Maker Generator — Generate Videos from Your Assets

Drop your images or clips in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a five product images and a logo file, ask for generate a 30-second promotional video from these images with background music, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — using fewer than ten images keeps generation time under a minute.

Matching Input to Actions

User prompts referencing ai maker generator, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source ai-maker-generator
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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)

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

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.

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

Tips and Tricks

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

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

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "generate a 30-second promotional video from these images with 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 be a straightforward cloud video-generator and only needs an API token, but take these precautions before installing: 1) Verify the backend domain (mega-api-prod.nemovideo.ai) and the publisher — there is no homepage or source listed. 2) Ask the skill author to clarify the config-path discrepancy: does the skill read/write ~/.config/nemovideo/? If so, where and for what data? 3) Confirm how anonymous tokens are stored/used: are they kept only in-memory, or written to disk/env vars where other processes could read them? 4) Be careful uploading sensitive media (commercial secrets, personal data). 5) If you need higher assurance, request source code or an API docs link and test the anonymous-token endpoint separately (inspect its responses) before giving the skill long-term credentials. These checks will reduce the risk of accidental token exposure or unexpected filesystem access.
Capability Analysis
Type: OpenClaw Skill Name: ai-maker-generator Version: 1.0.0 The ai-maker-generator skill is a legitimate integration for a cloud-based video production service (nemovideo.ai). It manages authentication via environment variables or anonymous token generation and handles video processing tasks through standard REST and SSE endpoints. The instructions in SKILL.md are well-structured, focusing on mapping user intent to API calls and maintaining session state, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The name/description (AI video generator) align with the runtime instructions and the single required credential NEMO_TOKEN — that is expected. However, the skill frontmatter references a config path (~/.config/nemovideo/) while the registry metadata says no required config paths, an internal inconsistency that should be clarified (is the skill expected to read/write that directory?).
Instruction Scope
Instructions are focused on connecting to a remote rendering API, uploading user media, creating a session, and polling for exports. They explicitly read NEMO_TOKEN and, if absent, call an anonymous-token endpoint to obtain one. The instructions do not ask for unrelated system files or additional environment variables, but they do require the agent to auto-detect an install path for the X-Skill-Platform header which implies access to agent runtime metadata. This scope is reasonable for the described purpose, but the anonymous-token flow and implied filesystem access are areas to verify.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by an installer in the package itself.
Credentials
Only a single credential (NEMO_TOKEN) is declared as required, which is proportionate for a cloud API. Caveats: the skill offers to obtain an anonymous token if none exists (server-issued token valid 7 days) — check where that token will be stored or whether it remains only in-memory. Also the frontmatter's config path (~/.config/nemovideo/) suggests the skill may read from or write to a user config directory; that should be confirmed, since access to arbitrary config directories can expose other secrets if mis-specified.
Persistence & Privilege
The skill is not force-installed (always:false), is user-invocable, and doesn't request system-wide persistence or modifications to other skills. Autonomous invocation is allowed (platform default) but not combined with other high-risk behaviors here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-maker-generator
  3. After installation, invoke the skill by name or use /ai-maker-generator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of AI Maker Generator for fast AI-powered video creation. - Instantly generates 30-second promotional videos from your images and clips with background music — no editing skills required. - Supports uploads up to 500MB (MP4, MOV, JPG, PNG) and delivers 1080p MP4 exports in 1–2 minutes. - Automatically manages cloud session setup and API tokens, with 100 free credits on first use. - Includes guided flows for uploading, generating, previewing, exporting, and checking credits. - Robust error handling for unsupported files, session issues, missing headers, and export/account problems.
Metadata
Slug ai-maker-generator
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Maker Generator?

Skip the learning curve of professional editing software. Describe what you want — generate a 30-second promotional video from these images with background m... It is an AI Agent Skill for Claude Code / OpenClaw, with 95 downloads so far.

How do I install Ai Maker Generator?

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

Is Ai Maker Generator free?

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

Which platforms does Ai Maker Generator support?

Ai Maker Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Maker Generator?

It is built and maintained by vynbosserman65 (@vynbosserman65); the current version is v1.0.0.

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