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Product Photography

Community
sanky369
product-photography

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/creative_cli.py product when FAL_API_KEY is set.

Overview

Publishersanky369
Repositoryvibe-building-skills
Skill nameproduct-photography
Stars
31
Forks
7
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sanky369 on GitHub. Read the source before you install it.

Installation

Install the Product Photography AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sanky369/vibe-building-skills/tree/main/skills/creative/product-photography
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sanky369/vibe-building-skills.git /tmp/vibe-building-skills
mkdir -p .claude/skills
cp -r /tmp/vibe-building-skills/skills/creative/product-photography .claude/skills/product-photography
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Photography in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Product Photography on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Product Photography is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

    bash
    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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Product Photography AI 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) w...

Why use Product Photography on TypingMind?

Because you install it once and use it with any model. Product Photography is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Product Photography in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanky369/vibe-building-skills/tree/main/skills/creative/product-photography. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Product Photography?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Product Photography?

As many as you like. As long as a model supports skills, you can use Product Photography with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Product Photography AI skill free?

Yes. It is published on GitHub by sanky369 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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