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AugustEmna
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media-generation

Generate AI images, videos, and stock images from text prompts.

Updated Feb 10, 2026
Search Tags:#image#video#media#generate#ai-generated#visual-content#stock-image
One-click install
npx skills add https://github.com/AugustEmna/FlexMatch --skill media-generation-augustemna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: media-generation
Source: https://github.com/AugustEmna/FlexMatch/tree/main/.local/skills/media-generation
Command: npx skills add https://github.com/AugustEmna/FlexMatch --skill media-generation-augustemna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates on-demand visual content by creating AI-generated images and videos, or retrieving stock images, reducing time spent on media production.

Core Features & Use Cases

  • Generate custom images from text prompts with options for aspect ratio and PNG output.
  • Generate short videos from textual descriptions with configurable duration and resolution.
  • Retrieve stock images to supplement visuals quickly for campaigns and products.

Quick Start

Provide a text description and call generateImage with an images array to generate PNG visuals.

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 campaigns?▼

You can generate AI videos by providing textual descriptions and calling generateVideo or generateVideoAsync. These functions support configurable duration and resolution, enabling quick video mockups and dynamic campaign assets.

What's the best way to retrieve stock images for social media content teams?▼

The best way to retrieve stock images is by using the stockImage function. It allows content teams to quickly supplement visual assets for social media, campaigns, and products without spending time on manual media production.

Can I use negative prompts to refine AI-generated visual content?▼

Asynchronous generation is supported through generateImageAsync and generateVideoAsync functions. These options allow you to handle longer processing tasks without blocking your workflow, returning output paths once the media generation completes.

Does this media generation approach work for scaling product design mockups?▼

Yes, this approach works for scaling product design mockups by enabling quick generation of custom images and stock media retrieval. It allows design teams to rapidly produce visual assets and iterate on mockups on demand.

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