media-generation

Generate AI images and videos and retrieve stock images via APIs.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/samibrahmi/instanotes-api --skill media-generation-samibrahmi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: media-generation
Source: https://github.com/samibrahmi/instanotes-api/tree/main/newcontent/skills/media-generation
Command: npx skills add https://github.com/samibrahmi/instanotes-api --skill media-generation-samibrahmi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-driven media creation and retrieval to accelerate visual content production, replacing manual sourcing and editing with automated generation and stock access.

Core Features & Use Cases

  • Generate custom images via AI from prompts using generateImage (single or multiple).
  • Generate videos from text prompts with generateVideo or asynchronously with generateVideoAsync.
  • Retrieve stock images via stockImage for authentic photography when exact rendering is not needed.

Quick Start

Generate an AI image from a descriptive prompt and save it to attached_assets/generated_images/.

Frequently Asked Questions about media-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI images from text prompts for marketing assets?

Yes, you can generate videos asynchronously using the generateVideoAsync API to handle longer rendering tasks. This allows your content creation workflow to continue while processing video generation in the background.

What is the difference between AI-generated images and retrieved stock images?

AI-generated images use text prompts to create custom visuals via generateImage, whereas retrieved stock images use the stockImage API for authentic photography. Stock retrieval is ideal when exact rendering is unnecessary for your marketing assets.

Can I use automated asset management to organize generated visual content?

Yes, automated asset management organizes generated visual content by providing clear API schemas and file outputs. Generated media is saved to attached directories like attached_assets/generated_images/ for structured retrieval.

Does this approach work for asynchronous video processing in content workflows?

Asynchronous video processing works effectively in content workflows through the generateVideoAsync API. It satisfies functional requirements for video generation by handling rendering tasks without blocking other automation processes.

What are the limitations of using AI media generation for product interfaces?

AI media generation limitations include potential inaccuracy in exact rendering for product interfaces. When precise visual representation is required, using the stockImage API to retrieve authentic photography is recommended over AI generation.