skill
Higgsfield Product Photoshoot
Generate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals. Use when: "product photo", "studio shot", "lifestyle image", "Pinterest pin", "hero/banner", "carousel", "ad creative", "Meta ads", "virtual try-on", "model wearing", "person holding product", "closeup with hands", "levitating/floating/splash product", "CGI/surreal product", "restyle", "seasonal/aesthetic variation", o...
About
# Product Photoshoot
Brand-image generation via the `higgsfield product-photoshoot create` command. The CLI calls a backend prompt enhancer that holds mode-specific photography vocabulary and structural templates, then submits to `gpt_image_2` and returns image URLs.
## Step 0 — Bootstrap
Before any other command:
1. If `higgsfield` is not on `$PATH`, install it: ```bash curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh ``` 2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.
## UX Rules
1. Be concise. Print only image URLs in the final reply. 2. Detect language, respond in it. Mode names and CLI flags stay English. 3. Ask at most 4 short questions before submitting. Use labeled options, never open-ended. 4. Skip questions whose answer is obvious from context (uploaded image, prior turn, brand memory). 5. Never write the gpt_image_2 prompt yourself — backend assembles it. 6. Polling is silent. Wait until URLs are ready, then deliver.
## Modes
| Mode | When user wants… | |---|---| | `product_shot` | Product on neutral / studio / catalog background | | `lifestyle_scene` | Product in real-world environment, hands, action, atmosphere | | `closeup_product_with_person` | Tight crop with hands / partial face — beauty application, holding, demonstrating | | `moodboard_pin` | Vertical 2:3 Pinterest-native aesthetic, moodboard feel | | `hero_banner` | Wide-format website / email / campaign header | | `social_carousel` | 3–10 connected slides for IG / LinkedIn / Facebook | | `ad_creative_pack` | Coordinated pack of static ad variants for Meta / TikTok / Pinterest / Google Ads | | `virtual_model_tryout` | Product worn or used by an AI-rendered model | | `conceptual_product` | Surreal / CGI-style / levitating / splash / sculptural product | | `restyle` | Transform an existing image's aesthetic, mood, or seasonal context |
## Mode selection
Pick by intent, not surface keyword. When two modes could apply, prefer the more specific one.
- product + neutral / clean / white / studio / catalog / Shopify → `product_shot` - product + scene / in use / kitchen / outdoor / cafe / gym → `lifestyle_scene` - hands holding / face with product / beauty application / demonstrating → `closeup_product_with_person` - Pinterest, pin, vertical pin → `moodboard_pin` - hero, banner, website header, landing page, email header, wide format → `hero_banner` - carousel, slide post, multi-slide, swipeable → `social_carousel` - ads, ad pack, paid social, Meta / TikTok / Pinterest ads → `ad_creative_pack` - model wearing, virtual try-on, on body, fashion shoot, lookbook → `virtual_model_tryout` - levitating, floating, splash, frozen motion, surreal, CGI, sculptural → `conceptual_product` - modify EXISTING image's aesthetic, mood, season — without changing subject → `restyle`
Tie-breakers: - "Pinterest pin of my product on a kitchen counter" → `moodboard_pin` (Pinterest is the platform) - "Hero banner showing my product in use" → `hero_banner` (banner format wins) - "Carousel of my product in different scenes" → `social_carousel` (multi-slide wins) - "Closeup of person applying my serum" → `closeup_product_with_person` (specific genre wins)
## Pre-generation interview
Ask 3–4 short questions before submitting. Always labeled options, never open-ended. Skip a question whose answer is obvious from context.
### Type A — uploaded a product photo, "make me images / photoshoots"
1. How many? `[1 / 3 / 5]` 2. What style/mood? `[Clean studio / Lifestyle / Conceptual / With a model / Other]` 3. Where will you use them? `[Shopify / Instagram / Pinterest / Paid ads / Website hero]` 4. Brand colors to match? (skip if obvious)
### Type B — uploaded a product photo, named a use case
E.g. "make ads for my product", "make a Pinterest pin", "make a hero banner". Mode is obvious. Ask only the gaps:
1. How many? (if multi-output mode) 2. What's the offer / mood / hook? 3. Anything in particular to emphasize?
### Type C — text only, no product photo
1. Can you upload a product photo? (preferred — much higher fidelity) 2. If not, describe the product — category, packaging, color, distinctive features. 3. What style? (same options as Type A) 4. Where will you use it?
### Type D — uploaded existing image, "redo / change vibe / different version"
→ `restyle`
1. What aesthetic? `[Clean girl / Cottagecore / Quiet luxury / Dark academia / Y2K / Other]` 2. Seasonal context? `[Christmas / Valentine's / Halloween / Black Friday / None]` 3. What to preserve, what to change? (only if ambiguous)
### Type E — model wearing a product (fashion, accessories)
→ `virtual_model_tryout`
1. Model archetype? (suggest 2–3 based on brand audience) 2. Environment? `[Studio clean / Outdoor natural / Street style / Editorial / Home cozy]` 3. Framing? `[Full body / Three-quarter / Waist up / Closeup on product area]
Install
Run this command
npx skills add higgsfield-ai/skillsWorks with
Manual steps
Install with `npx skills add higgsfield-ai/skills`, or clone the repository and copy the `higgsfield-product-photoshoot` folder into your Claude skills directory.
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