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Create image fal

Skill gooseworks-ai/goose-skills/skills/ads/capabilities/create-image-fal

Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs (orchestrator hosts local product refs via MCP upload->presign). The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)From its SKILL.md

Install
npx -y skills add gooseworks-ai/goose-skills --skill create-image-fal

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • runs commandsInstructs the agent to run 1 command, including `gen_image.py --model fal-ai/nano-banana/edit --payload '{...}' --out keyframe.png`.

SKILL.md

1.3 KB, 204 tokens by cl100k_base, as published. Nobody here has run it

create-image-fal

Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs (orchestrator hosts local product refs via MCP upload->presign). The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)

Run

gen_image.py --model fal-ai/nano-banana/edit --payload '{...}' --out keyframe.png — bills the agent; returns the *.fal.media URL.

Contract

  • Paid calls route through the GooseWorks proxies (bills the Ads agent) via the bundled media_proxy.py — never a provider SDK's default host.
  • The template recipe (DB) supplies the model + params; this capability is generic.

What ships with it: 4 files

18.1 KB alongside SKILL.md, 2 of them executable

scripts/

tests/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.