Generate, edit and upscale AI images via fal.ai through a three-stage studio workflow — brainstorm a strong prompt with the user, prototype cheaply and iterate on feedback, then produce a finalised image. Use when the user wants image generation or editing through the local fal.ai helper workflow, including requests to "generate an image", "make an image/picture/illustration/graphic of…", "create an AI image", "edit/change this image", "make a variation", "upscale this", create a "production-ready image", "clean up / enhance a photo", "make this phone shot look professional", create imagery "for the deck/post/website/newsletter", or when they explicitly mention fal.ai or nano-banana. Do not use for Canva template designs, branded PowerPoint decks, data charts/dashboards, or flowcharts/diagrams — those are layout, data, or structure tasks, not generative imagery. Video generation is out of scope. Do not override platform-native image generation tools where the host environment requires them.
$npx -y skills add moonlight-lupin/agent-skills --skill image-studioInstalls into the current project.
Run `npx skills use "https://github.com/moonlight-lupin/agent-skills" --skill "moonlight-lupin/agent-skills/image-studio"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moonlight-lupin/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/moonlight-lupin/agent-skills"` and select the relevant skills, then follow their instructions.