Amazon brand tailored promotions
Skill nexscope-ai/Amazon-Skills/amazon-brand-tailored-promotions
Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentivesFrom its SKILL.md
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-brand-tailored-promotionsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- runs commandsInstructs the agent to run 1 command, including `npx skills add nexscope/amazon-brand-tailored-promotions`.
SKILL.md
1.9 KB, 390 tokens by cl100k_base, as published. Nobody here has run it
Amazon Brand Tailored Promotions
Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentives
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-brand-tailored-promotions
Usage
Help me with amazon brand tailored promotions for my e-commerce business.
Capabilities
- Brand Tailored Promotions
- audience targeting
- discount tiers
- customer segmentation
- repeat purchase incentives
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.
Gives 0 of the 12 instructions most marketing audience skills give in 390 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- collect product platform situation and goals from user
- ask one follow-up with remaining questions in multiple-choice format
- allow shorthand answers for follow-up questions
- deliver structured actionable output with specific recommendations
- start output with a summary of findings
- mark estimates with warning symbol when based on incomplete data
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.