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…
Create faithful studio, lifestyle, and on-model product photography through the GooseWorks Product Photos workflow, then approve selected results for reuse in future creative work.
$ npx -y skills add gooseworks-ai/goose-skills --skill product-photoshoot --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/product-photoshootContext preview
The summary Claude sees to decide when to auto-load this skill.
Create faithful studio, lifestyle, and on-model product photography through the GooseWorks Product Photos workflow, then approve selected results for reuse in future creative work.
name: product-photoshoot description: Create faithful studio, lifestyle, and on-model product photography through the GooseWorks Product Photos workflow, then approve selected results for reuse in future creative work.
Turn real catalog images into publish-ready product photography while preserving silhouette, materials, logo, packaging, and colorway. The GooseWorks backend uses the same generation, fidelity review, and retry pipeline as its Product Photos studio.
This workflow requires the GooseWorks MCP tools. If they are unavailable, tell the user how to install the GooseWorks MCP connection and stop before generation.
1. Resolve the brand with `list_ad_brands` and the product with `list_brand_products`. 2. If the product is missing, use `import_product` with a product URL, Shopify store, or public image URL. Poll `get_product_import`; do not re-submit an in-progress import. 3. Clarify the intended image: studio, lifestyle, on-model, close-up, setting, aspect, and count. Do not invent product attributes. 4. Call `estimate_product_photos` and show the user the credit estimate. Confirm count and quality before spending. 5. Call `generate_product_photos` with the chosen product, category, controls, count, quality, and optional prompt. Human model imagery requires the user's rights attestation. 6. Poll `get_product_photo_generation` until `complete`, `partial_failure`, or `failed`. Do not submit a duplicate while it is running. 7. Show every result and status. Let the user choose the keepers; use `approve_product_photo` only for selected results and `archive_product_photo` for rejected ones.
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Repo: gooseworks-ai/goose-skills
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