营销安装
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- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: ads-photoshoot
description: Product photography enhancement for ad creatives using banana-claude image generation. Takes a p…
category: AI 智能
runtime: 无特殊运行时
---
# ads-photoshoot 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Quick Reference / Environment Setup / Process”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Quick Reference / Environment Setup / Process”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、会按任务需要访问外部网络、需要准备 Vendor-specific API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;会按任务需要访问外部网络;需要准备 Vendor-specific API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/ads`、`/banana` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Quick Reference / Environment Setup / Process”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: ads-photoshoot
description: Product photography enhancement for ad creatives using banana-claude image generation. Takes a p…
category: AI 智能
source: AgriciDaniel/claude-ads
---
# ads-photoshoot
## 什么时候使用
- 把AI / Agent方向的常用动作沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Quick Reference / Environment Setup / Process」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;会按任务需要访问外部网络;需要准备 Vendor-specific API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "ads-photoshoot" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Quick Reference / Environment Setup / Process
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 会按任务需要访问外部网络
安全层 -> 需要准备 Vendor-specific API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} 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):
- 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"
- Product description: What is it? Key features to highlight? (helps prompt quality)
- Styles to generate: Which of the 5 styles? (default: all 5)
- Studio, Floating, Ingredient, In Use, Lifestyle
- 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 elementsaesthetic.mood_keywords→ inject as atmosphere descriptorstarget_audience→ use for Lifestyle and In Use contextimagery.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 out. Output sizes: 1080×1080 (optimal for this style). Also generate 9:16 vertical for TikTok/Reels/Stories placements.
Style 4: In Use
Authentic usage context.
Base template:
"person's hands using [product description] in natural context, lifestyle
photography, focus on product-hand interaction, shallow depth of field,
warm natural window light, authentic not staged, [brand.target_audience.profession]
implied context, [brand.aesthetic.mood_keywords] atmosphere"
Composition: Hands prominent, product clearly identifiable, background soft-focus. Note: Hands only; no full face (avoids model release complications). Output sizes: 1080×1080, 1080×1920
Style 5: Lifestyle
Aspirational full-context shot.
Base template:
"[product description] in aspirational lifestyle scene, [brand.target_audience.age_range]
demographic implied environment, [brand.target_audience.profession] context,
[brand.aesthetic.mood_keywords] atmosphere, golden hour or clean natural lighting,
editorial photography style, [brand.aesthetic.negative_space] composition,
product clearly visible and prominent"
Composition: Environmental context, product as hero element within the scene. Output sizes: 1080×1080, 1080×1920
Iterative Refinement
For iterative refinement: if initial generation doesn't match brand expectations, adjust the prompt by specifying: lighting direction, color temperature, background texture, or product angle before regenerating.
Step 5: Generate Images
Domain mode selection per style:
- Use banana Product mode for Studio, Floating, and Ingredient styles
- Use banana Editorial mode for In Use and Lifestyle styles
- Set resolution to 2K (default) for all generations
Aspect ratio setup: Use banana MCP set_aspect_ratio before each generation:
- For 1080x1080: set ratio to 1:1
- For 1080x1920: set ratio to 9:16
For each style x size combination, use /banana generate with the constructed
prompt, selected domain mode, and correct aspect ratio. Save output to
./product-photos/[style]/[product-slug]-[style]-[WxH].png.
Track results. If a generation fails, retry once with a simplified prompt.
Step 6: Organize and Report
Output directory structure:
./product-photos/
studio/
product-studio-1080x1080.png
product-studio-1080x1920.png
floating/
product-floating-1080x1080.png
product-floating-1080x1920.png
ingredient/
product-ingredient-1080x1080.png
product-ingredient-1080x1920.png
in-use/
product-in-use-1080x1080.png
product-in-use-1080x1920.png
lifestyle/
product-lifestyle-1080x1080.png
product-lifestyle-1080x1920.png
Summary:
✓ Product photos generated: [N] images
Studio: ./product-photos/studio/ (2 sizes)
Floating: ./product-photos/floating/ (2 sizes)
Ingredient: ./product-photos/ingredient/ (2 sizes)
In Use: ./product-photos/in-use/ (2 sizes)
Lifestyle: ./product-photos/lifestyle/ (2 sizes)
Cost: see ~/.banana/costs.json for total spend
Best for:
• Meta Feed → Studio (4:5) or Lifestyle (4:5)
• TikTok/Reels → Floating (9:16) or In Use (9:16)
• LinkedIn → Studio (1:1) or Lifestyle (1:1)
• Google PMax → Studio (1:1); crop to 1.91:1 after
Run `/ads generate` to use these in a full campaign.
Cost Estimate
Before generating, show:
- Number of styles selected x 2 sizes = total images
- Estimated cost based on banana pricing tiers
- If >$0.50, ask for confirmation
Platform Recommendations
| Style | Best Platforms | Rationale |
|---|---|---|
| Studio | Meta Feed, LinkedIn, Google PMax | Universal, clean, platform-safe |
| Floating | Meta Reels, TikTok, Stories | High visual impact on vertical placements |
| Ingredient | Meta Feed, Pinterest | Works best as square; tells product story |
| In Use | TikTok, Meta Reels, Stories | Authentic, native-feeling content |
| Lifestyle | All platforms | Aspirational, broad audience appeal |
Reference Files
~/.claude/skills/ads/references/image-providers.md: API setup and pricing~/.claude/skills/ads/references/brand-dna-template.md: Brand injection schema~/.claude/skills/ads/references/meta-creative-specs.md: Safe zone for 9:16~/.claude/skills/ads/references/tiktok-creative-specs.md: Safe zone constraints
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核