Amazon private label
Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more. Works with OpenClaw, Claude Code, Cursor, Windsurf, Codex and any agent that supports the Skills format.
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-private-labelAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Private label launch playbook — product selection, branding, supplier management, differentiation strategy
SKILL.md
1.8 KB, 376 tokens by cl100k_base, as published. Nobody here has run it
Amazon Private Label
Private label launch playbook — product selection, branding, supplier management, differentiation strategy
Supported platforms: Amazon (US, UK, DE, CA, JP, AU, and all marketplaces).
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
npx skills add nexscope/amazon-private-label
Usage
Help me with amazon private label for my e-commerce business.
Capabilities
- Private label launch playbook
- product selection
- branding
- supplier management
- differentiation strategy
How This Skill Works
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
Output Format
- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
Other Skills
More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.