higgsfield-product-photoshoot

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

Audit 0.4.1 · source sha d60a8ba7e89c · 24 Oct 2026Report an issue or request a re-scan

• Publisherhiggsfield-ai GitHub organizationOwner of the repository this skill is read from
• Source folderhiggsfield-ai/skills/higgsfield-product-photoshootThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdictd60a8ba7e89cA new audit runs when the source changes
• Repository statusNot archivedLast push 27 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: 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",…

---
version: 0.13.0
name: higgsfield-product-photoshoot
description: |
  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", or any product, brand, or paid-social creative.
  Modes: product_shot, lifestyle_scene, closeup_product_with_person,
  moodboard_pin, hero_banner, social_carousel, ad_creative_pack,
  virtual_model_tryout, conceptual_product, restyle. Backend assembles the final
  prompt; never freehand it.
  NOT for: no-product text-to-image (use higgsfield-generate), branded avatar
  video (use higgsfield-generate Marketing Studio), marketplace listing cards
  (use higgsfield-marketplace-cards), Soul Character training (use
  higgsfield-soul-id).
argument-hint: "[--mode <mode>] [--count N] [prompt]"
allowed-tools: Bash
---

# 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? (sug

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/higgsfield-ai/skills
git -C skills checkout d60a8ba7e89c

Works in

1. 2026-10-24
   ✓SAFE B 89 / 100

   first audit · source d60a8ba7e89c

Questions about higgsfield-product-photoshoot

• github.com/higgsfield-ai/skills/tree/main/higgsfield-product-pho — the audited source at commit d60a8ba7e89c and every finding aboveObserved · 24 Oct 2026

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