Agent Skill
Amazon Product Photography skill
amazon-product-photographynexscope-ai/Amazon-Skillsamazon-product-photography/SKILL.md
Plan shoot-ready Amazon product photography, listing image sets, infographics, lifestyle scenes, and production briefs. Use when a seller asks for an Amazon photo shot list, creative direction, image-pack plan, photography budget, DIY-versus-done-for-you decision, or handoff to a photographer or image-generation workflow. Do not use for listing copy or image-only performance auditing.
always on
81 tokname + description
once used
2,414 tokSKILL.md body
bundled files
11 KB
repo stars
786GitHub
Install the Amazon Product Photography skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/nexscope-ai/Amazon-Skills --skill amazon-product-photography
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git /tmp/Amazon-Skills mkdir -p ~/.claude/skills cp -R /tmp/Amazon-Skills/amazon-product-photography ~/.claude/skills/amazon-product-photography
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 81 tok |
| When the agent uses it | The SKILL.md instructions | 2,414 tok |
| Only if opened | 1 bundled files (1 KB) | varies |
Until it is used, amazon-product-photography costs about 17× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 52 skills from nexscope-ai/Amazon-Skills would load 3,081 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Amazon Product Photography
- Installation
- Capabilities
- Usage Examples
- Inputs and Collection
- Workflow
- 1. Establish Evidence and Scope
- 2. Define the Visual Job
- 3. Build the Image Architecture
- 4. Choose a Production Route
- 5. Create the Production and Review Plan
- Domain Rules
- Main Image
- Secondary Images
- AI-Generated or Composited Images
- Budget and Measurement
- Output Format
- Integration with Nexscope
- Required Final Handoff Wording
- Limitations
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