fal-generate
Enables your agent to create images and videos using AI models. It's great for generating visual content for your projects. Use when you need unique visuals or for rapid prototyping.
What it does
This tool creates images and videos using artificial intelligence. You describe what you want to see, and the AI tries to create it.
When to use it
- ✓When you want an image to illustrate an idea.
- ✓To create a short video from a description.
- ✓If you need a unique visual for a project.
Example of what to ask your AI
“Create an image of an astronaut cat floating in space, with Earth in the background.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI receives your description (the 'prompt') and uses trained models to generate the image or video. It checks permissions and requirements before creating.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill fal-generateOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/fal-generate/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Fal Generate
Overview
Generate images and videos using fal.ai AI models
When to Use
Prepare image or video generation through an available fal.ai integration when the user requests that media operation.
Procedure and Inputs
Resolve prompt, intended use, aspect ratio, duration, reference permissions and budget. This AAS entrypoint does not bundle a fal client, model catalog, credentials or executable examples. The historical upstream file is currently unavailable; preserve its attribution and do not invent an endpoint or model ID. Use only an already configured integration with a verified current schema, or report execution unavailable and return the requested job specification.
Choose a currently available model from the actual integration, inspect its input schema, and submit the smallest requested job. Preserve returned job identity and distinguish queued, failed and completed status.
Confirm upload/privacy and paid-call scope before submitting. Use bounded status polling appropriate to the actual tool; do not retry an ambiguous submission until its job identity/account state is reconciled. Deliver the actual returned artifact and state which requested properties were checked; a draft or queued job is not a finished output.
Example
User request:
Generate images and videos using fal.ai AI models.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What is a 'prompt'?
It's the detailed description of what you want the AI to create, like an image or video.
Can the AI create anything?
The AI creates based on its training and your instructions. The result isn't always perfect or exactly as imagined.
Do I need to pay to use it?
The text mentions 'budget' and 'paid-call scope', so there might be associated costs depending on usage.
Details
Original description by the author
Generate images and videos using fal.ai AI models
Popularity
- GitHub stars
- 48k
- Ranking position
- #2976
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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