| name | create-product-images-higgsfield-product-photoshoot |
| description | create brand-faithful product stills using higgsfield product photoshoot workflows. |
create-product-images-higgsfield-product-photoshoot
Purpose
Create brand-faithful product stills using Higgsfield product photoshoot workflows.
Implementation status: extracted from existing repository skills. The workflow is based on working source material and still requires the standard smoke and human tests after migration.
Sources: voiceover-product-ad, ugc-product-video, ad-studio.
Extraction notes: Higgsfield product photoshoot modes, source imagery, and NSFW routing lessons.
Inputs
- A clear user brief or source asset path.
- Brand, product, audience, platform, and approval constraints when relevant.
- Required credentials or provider access for any external service used by this skill.
- Output directory or test-run directory where artifacts should be saved.
Workflow
- Read the brief and confirm all required inputs are present.
- Load any referenced files in this skill folder only when they are needed.
- Run the provider, script, or planning workflow described by this skill.
- Save outputs under the requested output folder or
skills/test-runs/<timestamp>/<skill-name>/ during tests.
- Write or update a
manifest.json for executable runs with status, provider, outputs, warnings, and errors.
Output
- Primary artifact or written plan requested by the skill.
manifest.json for executable runs.
verification.md or a short verification summary that names the checks performed.
- Any generated source assets, intermediate files, or final exports in the run folder.
Quality Checks
- Required files exist and paths in the manifest are valid.
- Output matches the requested format, platform, duration, dimensions, or text structure.
- Brand claims, captions, on-screen text, and CTAs follow the provided brand rules.
- Provider failures, skipped integrations, and human-review needs are explicit.
Failure Modes
- Missing credentials, provider access, or source files.
- Output does not match requested dimensions, duration, structure, or brand constraints.
- Generated media contains artifacts, unreadable text, unsafe claims, or caption collisions.
- Scaffolded skills cannot run production workflows until implementation details are added.