What makes Higgsfield Product Photoshoot notable?

1.1K downloads. Trust evidence available

How should Higgsfield Product Photoshoot be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Higgsfield Product Photoshoot

Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional bra... Skill: Higgsfield Product Photoshoot Owner: higgsfield Summary: Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional bra... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-04T16:21:16.028Z | user Initial release of Higgsfield Product Photoshoot skill. - Provides a CLI tool to generate brand-quality product images

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.0release · observed May 4, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8fwnpnszqskag8vjqhx1ts862976:higgsfield-product-photoshoot

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-higgsfield-higgsfield-product-photoshoot/snapshot"

Documentation

CLAWHUB

12,722 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
version: 0.3.0
name: higgsfield-product-photoshoot
description: |
  Generate brand-quality product images via mode-specific prompt
  enhancement on Higgsfield's gpt_image_2 model. The single entry
  point for any professional brand visual involving a product.
  Use when: "make a product photo", "studio shot", "lifestyle photo",
  "in use", "Pinterest pin", "hero banner", "website header",
  "carousel", "Meta ads", "ad creatives", "model wearing",
  "virtual try-on", "person holding product", "closeup with hands",
  "levitating product", "floating", "splash shot", "CGI style",
  "surreal product", "restyle", "Christmas version",
  "in [aesthetic] style", or any request involving a product, brand,
  or paid social creative.
  Modes: product_shot, lifestyle_scene, closeup_product_with_person,
  pinterest_pin, hero_banner, social_carousel, ad_creative_pack,
  virtual_model_tryout, conceptual_product, restyle.
  Backend assembles the final prompt — never write gpt_image_2
  prompts freehand. Always go through this skill.
  NOT for: raw text-to-image with no brand/product (use
  higgsfield-generate), branded marketing video with avatars (use
  higgsfield-generate's Marketing Studio), 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 |
| `pinterest_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_creati

_meta.json

{
  "ownerId": "kn75nbcv2e6k6p0qdc2tkn0dvn862nys",
  "slug": "higgsfield-product-photoshoot",
  "version": "1.0.0",
  "publishedAt": 1777911676028
}

skill-card.md

## Description:

Generates brand-quality product photos and paid-social visuals through the Higgsfield CLI with mode-specific prompt enhancement and image URL delivery.

This skill is ready for commercial/non-commercial use.

## Publisher:

[higgsfield](https://clawhub.ai/user/higgsfield)

### License/Terms of Use:

MIT-0

## Use Case:

External brand, ecommerce, and marketing teams use this skill to turn product photos or product descriptions into studio, lifestyle, banner, carousel, ad, virtual try-on, conceptual, or restyled visual outputs.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The bootstrap step may execute an unverified live GitHub installer before other skill actions.

Mitigation: Prefer installing the Higgsfield CLI from a pinned or verified release and review what the installer changes before use.

Risk: Local product images passed with --image are uploaded to Higgsfield for generation.

Mitigation: Use only product images approved for upload to Higgsfield and avoid sensitive, private, or unreleased assets unless that processing is authorized.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/higgsfield/skills/higgsfield-product-photoshoot)
- [Higgsfield CLI installer](https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh)

## Skill Output:

**Output Type(s):** [Text, Shell commands]

**Output Format:** [Markdown list of generated image URLs]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Final responses are expected to contain only generated image URLs; local product images supplied with --image may be uploaded to Higgsfield for generation.]

## Skill Version(s):

1.0.0 (source: server release metadata; artifact frontmatter declares 0.3.0)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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