MCPInstall

product-photography

by sanky369Media & Creative

Produces professional AI product photography — clean e-commerce shots, lifestyle scenes, hero images, macro detail shots, and flat lays — as generation-ready prompt specs, and generates the files via FAL.ai fal-ai/nano-banana-pro when the automation is configured. Use when the user says 'product photos', 'shots of my product', 'images for my store / listing / landing page', 'hero image for my product', 'lifestyle photos', or shares a product needing marketing imagery. Produces one prompt-spec block per shot (shot type, lighting, background, composition, aspect ratio, negative constraints) with a shot list, variant plan, and file-naming conventions; runs docs/creativecli.py product when FALAPIKEY is set.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sanky369/vibe-building-skills --skill product-photography
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads product-photography automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Product Photography

Turn a product description into a coherent shot list of prompt specs that generate commerce-grade product imagery. Prime rule: one product, one visual world. Every shot in a set shares the brand's lighting, palette, and treatment so listings, landing pages, and social posts read as one brand — a stunning hero next to a mismatched lifestyle shot is worse than two average matching ones.

When to use / when not to

Use for any imagery whose subject is a product: e-commerce listings, landing-page heroes, marketing shots, detail close-ups. Hand off instead when:

  • The asset is a platform-sized post about the product (text overlays, promo layouts) → skills/creative/social-graphics
  • The user needs a logo/icon/pattern → skills/creative/brand-asset
  • It's a general image with no product subject → skills/creative/image-generation
  • No visual direction exists and multiple assets are coming → skills/creative/creative-strategist first; consume its style block here
  • The product should move → skills/creative/product-video (stills from this skill are its source frames)

Intake

Ask in one batch, only what's missing:

  1. Product — what is it, exactly? Materials, colors, distinguishing details. (If a real photo exists, ask for it as reference for accuracy.)
  2. Destination — listing, landing page, ads, social? (drives shot types and aspect ratios)
  3. Positioning — premium/luxury, accessible, playful, technical?
  4. Style anchor — Creative Direction Brief / style block, or brand colors?
  5. Automation — FAL_API_KEY set, or deliver specs only?

Infer, don't ask: aspect ratios from destination (listing → 1:1, landing hero → 16:9, social feed → 4:5); resolution 2K default, 4K for heroes. Don't stall: with product + destination known, assume the rest, label it, go.

Workflow

  1. Build the shot list. Map destination → shot types (decision rules):

    • E-commerce listing → 1 clean shot + 1–2 detail shots (+ 1 lifestyle if the platform allows gallery images)
    • Landing page → 1 hero shot + 1 lifestyle + 1 detail
    • Social/ads → 1–2 lifestyle + 1 flat lay (product families) or hero
    • "Just one image" → pick the single type that serves the stated use; say why

  2. Fix the shared treatment. Choose one lighting style and palette for the whole set from the style block (or infer from positioning: premium → dramatic or studio; approachable → natural golden hour; minimal brand → high-key). Every spec in the set uses it.

  3. Write one prompt spec per shot using the templates in references/shot-library.md — read it now; it has the five shot-type templates plus the lighting/background/composition prompt language. Name colors in words and hex. Always state what must NOT appear (no watermark, no invented logos or label text unless the exact text is supplied, no clutter).

  4. Variants. Hero and clean shots get 3–4 variants (--num-images 3 or distinct specs varying composition/background); detail and lifestyle shots get 2. The user picks winners.

  5. Generate or deliver. If FAL_API_KEY (or FAL_KEY) is set:

    python docs/creative_cli.py product \
  --product-name "Luxury Watch" \
  --prompt "<full prompt>" \
  --aspect-ratio 1:1 --resolution 2K --num-images 3

    Images save to assets/product-photography/<product-slug>/ as <product>_<n>_<timestamp>.png. If no key, deliver the specs plus the exact commands — never claim generation happened. Full parameter reference: skills/creative/image-generation/references/automation.md.

  6. Review against the quality bar, fix misses with the fix-it phrases in references/shot-library.md (one iteration round), then present winners with file paths and a one-line recommendation per slot.

Required output format

Deliver a shot list of these blocks (one per shot):

## Shot Spec — [shot name, e.g. hero-01]
- **Shot type:** clean / lifestyle / hero / detail / flat lay
- **Destination:** [listing / landing hero / ad / social]
- **Subject:** [product, concretely — materials, colors, orientation]
- **Setting / background:** [white / gradient X→Y / lifestyle setting / textured]
- **Lighting:** [studio / natural golden hour / dramatic rim / high-key]
- **Composition:** [centered / rule of thirds / negative space / overhead]
- **Mood:** [2–3 adjectives, from the style block]
- **Aspect ratio:** [ratio] · **Resolution:** [1K/2K/4K] · **Format:** png
- **Negative constraints:** [no watermark, no invented label text, ...]
- **Prompt (final, paste-ready):**
  > [single flowing prompt]
- **Variants:** [n] — [what varies]
- **File naming:** assets/product-photography/<product-slug>/<product>_<n>_<timestamp>.png
- **Generate with:** `python docs/creative_cli.py product --product-name "..." --prompt "..." --aspect-ratio ... --resolution ... --num-images n`

Close with a Set summary: shared lighting/palette line, shot count per type, and (if generated) recommended winner per slot with saved paths.

Quality bar

  • Every shot in the set shares one lighting style and palette (the set reads as one brand)
  • Each spec names shot type, background, lighting, composition, and mood explicitly
  • Aspect ratio matches the destination, not the 1:1 default by inertia
  • Product details (materials, colors) match what the user described — no invented features, engravings, or label text
  • Negative constraints present on every spec
  • Hero/clean shots have 3+ variants; nothing shipped as a single take
  • Only real automation parameters used (model is fal-ai/nano-banana-pro; no size/steps/guidance knobs exist)

Hard don'ts: never render readable brand/label text unless the user supplied the exact string; never mix premium dramatic lighting and casual snapshot styles in one set; never present AI shots as real photographs of the user's actual unit — if fidelity to the exact physical product matters, say so and recommend compositing or a reference-photo workflow.

Integration

  • skills/creative/creative-strategist → upstream; its style block sets this set's lighting, palette, and mood fields.
  • skills/creative/image-generation → shared automation and prompt discipline; skills/creative/image-generation/references/automation.md is the parameter source of truth.
  • skills/creative/social-graphics → consumes winning shots as raw material for platform posts.
  • skills/creative/product-video → consumes the hero/lifestyle stills as frames and art direction.
  • references/shot-library.md — full shot-type templates, lighting/background/ composition prompt language, and fix-it phrases. Read before writing specs.

FAQ

What does the product-photography skill do?

Produces professional AI product photography — clean e-commerce shots, lifestyle scenes, hero images, macro detail shots, and flat lays — as generation-ready prompt specs, and generates the files via FAL.ai fal-ai/nano-banana-pro when the automation is configured. Use when the user says 'product photos', 'shots of my product', 'images for my store / listing / landing page', 'hero image for my product', 'lifestyle photos', or shares a product needing marketing imagery. Produces one prompt-spec block per shot (shot type, lighting, background, composition, aspect ratio, negative constraints) with a shot list, variant plan, and file-naming conventions; runs docs/creativecli.py product when FALAPIKEY is set.

How do I install product-photography?

Run npx skills add https://github.com/sanky369/vibe-building-skills --skill product-photography in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/product-photography/ (personal) or .claude/skills/product-photography/ (project).

Which AI agents can use product-photography?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is product-photography safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains product-photography?

It is published by sanky369 in sanky369/vibe-building-skills. It has 93 recorded installs.

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