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muapi-multi-angle-shots

Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=samuraigpt-generative-media-skills-library-visual-multi-angle-shots-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
slug muapi-multi-angle-shots name muapi-multi-angle-shots version 1.0.0 description Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization. acceptLicenseTerms true Multi-Angle Shots Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization. Inputs Name Type Required Default Description product_name text yes — The product to photograph (e.g. "black leather sneaker", "glass perfume bottle", "smartwatch"). product_image image_url no — Optional reference product image to use as base. background_style text no pure white studio Background/environment (e.g. "pure white studio", "dark moody grey", "natural marble surface", "lifestyle context"). lighting text no soft studio lighting, product photography Lighting style (e.g. "dramatic side lighting", "flat lay top-down", "rim lighting", "natural daylight"). category text no general product Product category to tailor angle logic (e.g. "footwear", "watch/jewelry", "electronics", "beverage bottle", "skincare"). Steps Submit a single the plan with all angles in parallel. All Angles (Parallel) Front view — muapi image generate (model= ai-product-photography ) if {{product_image}} provided, else muapi image generate (model= nano-banana-pro ): Prompt: {{product_name}} — perfectly centered FRONT VIEW, eye-level angle. {{background_style}} background. {{lighting}}. Sharp focus, commercial product photography, ultra detailed, no props. Aspect ratio: 1:1 Side / 3/4 angle view — same model as step 1: Prompt: {{product_name}} — elegant 3/4 SIDE ANGLE view, slight perspective showing depth and form. {{background_style}} background. {{lighting}}. Shows product silhouette and side detail, commercial photography. Aspect ratio: 1:1 Back view — same model as step 1: Prompt: {{product_name}} — BACK VIEW, centered, showing rear details, finishes, and labels if any. {{background_style}} background. {{lighting}}. Product photography, equal detail to front shot. Aspect ratio: 1:1 Top-down / flat lay — muapi image generate (model= ai-product-shot ) if {{product_image}} provided, else muapi image generate (model= bytedance-seedream-v4.5 ): Prompt: {{product_name}} — perfectly overhead TOP-DOWN flat lay view, camera pointing straight down. {{background_style}} surface. Flat lay product photography, even lighting, no shadows at edges, symmetrically placed. Aspect ratio: 1:1 Hero glamour shot — muapi image generate (model= nano-banana-pro ): Prompt: {{product_name}} — dynamic low-angle HERO SHOT, slightly below eye level looking up at product. Dramatic {{lighting}}, slight depth of field, editorial product photography. {{background_style}} background. Premium commercial advertising quality. Aspect ratio: 4:5 After generation: Present all 5 angles in a grid layout description Suggest adding a 360° spin video with kling-v3.0-pro-image-to-video Offer to upscale any angle with ai-image-upscaler Notes For footwear: emphasize sole view as a 6th angle if requested. For watches/jewelry: suggest a macro detail shot as an additional step. For electronics: add "showing all ports, buttons, and screen" to front and side prompts. ai-product-photography is ideal when a reference image is provided — it preserves product identity. Trigger Keywords multi angle , multiple angles , 360 product , product angles , all sides , front back side , product views , angle shots , product photography set Notes for the Executing Agent This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset. For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id> . Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
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nameスキル名
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