Detalle del Skill
ads-photoshoot
Produces assets usable in Meta Ads, but is narrowly product-image generation.
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SKILL.md
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--- name: ads-photoshoot description: "Product photography enhancement for ad creatives using banana-claude image generation. Takes a product image and generates 5 professional photography styles for ad use: Studio, Floating, Ingredient, In Use, and Lifestyle. Requires banana-claude (v1.4.1+) with nanobanana-mcp. Triggers on: product photo, product photography, photoshoot, enhance product image, product shoot, product photos for ads, generate product photos, studio shot, lifestyle photo." user-invokable: false --- # Ads Photoshoot: AI Product Photography Transforms a product image or description into professional ad-ready photography in 5 distinct visual styles. Each style generates at two sizes: 1:1 (Meta/LinkedIn) and 9:16 (TikTok/Reels/Stories). ## Quick Reference | Command | What it does | |---------|-------------| | `/ads photoshoot` | Interactive: ask for product + styles | | `/ads photoshoot --styles studio floating` | Generate only selected styles | | `/ads photoshoot --product shoe.jpg` | Start with a product image file | | `/ads photoshoot --all-platforms` | Generate all 5 sizes per style | ## Environment Setup Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Run `/banana setup` to configure API key and MCP. ## Process ### Step 1: Collect Product Information Ask (combine into one message): 1. **Product image**: Path to product image file (local) OR product URL OR text description > "Provide a product image path (e.g. ./product.jpg), a URL, or describe your product" 2. **Product description**: What is it? Key features to highlight? (helps prompt quality) 3. **Styles to generate**: Which of the 5 styles? (default: all 5) - Studio, Floating, Ingredient, In Use, Lifestyle 4. **Target platforms**: Which platforms will these run on? - Determines output sizes (default: Meta + TikTok → 1:1 + 9:16) ### Step 2: Load Brand Profile (Optional) Check for `brand-profile.json` in the current directory. If found, extract for style injection: - `colors.primary` → inject into backgrounds and accent elements - `aesthetic.mood_keywords` → inject as atmosphere descriptors - `target_audience` → use for Lifestyle and In Use context - `imagery.forbidden` → exclude from all prompts If not found, proceed with standard style templates. ### Step 3: Verify banana-claude Verify banana-claude is installed (run `/banana setup` to check). If not installed, display setup instructions and exit. ### Step 4: Construct Prompts per Style For each selected style, build the prompt using the template + product description + brand DNA. #### Style 1: Studio Clean, e-commerce style product shot. **Base template:** ``` "[product description], professional product photography, clean white seamless background, even studio lighting, soft drop shadow, high detail product focus, ecommerce style, [brand.colors.primary] subtle accent reflections if applicable, top-down or 3/4 angle, no distractions, catalog quality" ``` **Composition:** Centered, slight 3/4 angle or flat lay. **Output sizes:** 1080×1080, 1080×1920 #### Style 2: Floating Dramatic levitation effect. **Base template:** ``` "[product description] floating in mid-air, dramatic floating product shot, [brand.colors.primary or brand.aesthetic.mood_keywords[0]] gradient background, atmospheric shadow below product, levitation effect, product defying gravity, clean modern aesthetic, high contrast, striking visual" ``` **Composition:** Product centered vertically, ample space above and below. **Output sizes:** 1080×1080, 1080×1920 #### Style 3: Ingredient Flat lay with components. **Base template:** ``` "[product description] centered flat lay, surrounded by its key ingredients or materials artfully arranged, top-down overhead view, clean light background, natural texture surface, product as hero element, ingredients scattered with intentional negative space, editorial food photography style" ``` **Composition:** Top-down, product in center, ingredients fanning ouLeer la fuente completa en GitHub (abre una página externa)