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nexscope

Amazon Brand Tailored Promotions

by nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
137
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0
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1
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Install in OpenClaw
/install amazon-brand-tailored-promotions
Description
Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentives
README (SKILL.md)

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.

Usage Guidance
This skill appears coherent for giving Amazon promotion advice: it asks questions and returns recommendations and does not request credentials. Two practical cautions before installing or running it: (1) provenance — the registry entry lacks a homepage and the owner ID is opaque; prefer skills from known publishers or with a verifiable homepage. (2) the SKILL.md suggests installing via `npx skills add nexscope/amazon-brand-tailored-promotions` — running npx will download and execute code from the npm ecosystem, so only run that if you trust the package/source. Also be aware the skill’s 'research' step is vague and could cause the agent to access external web resources or prompt you for business data (sales, ASINs, etc.); avoid sharing sensitive credentials (Amazon Seller API keys, AWS keys, or raw PII) unless you confirm the skill legitimately needs them. If the skill later asks for Amazon/SP-API credentials, installation of binaries, or access to local files, re-evaluate — those would be disproportionate to an advisory skill and increase risk.
Capability Analysis
Type: OpenClaw Skill Name: amazon-brand-tailored-promotions Version: 1.0.0 The skill bundle contains only metadata and instructional markdown (SKILL.md) designed to guide an AI agent in providing Amazon marketing advice. There is no executable code, no requests for sensitive credentials, and no evidence of malicious prompt injection or data exfiltration logic.
Capability Tags
cryptocan-make-purchases
Capability Assessment
✓ Purpose & Capability
Name/description (Amazon promotions, audience targeting, discounts) align with the content of SKILL.md — it's an advisory skill that collects user input, asks a follow-up, and returns actionable recommendations. It does not request unrelated credentials or binaries.
ℹ Instruction Scope
Instructions are high-level: collect user info, ask one multi-choice follow-up, 'research and analyze', then return structured output. They do not instruct reading local files, environment variables, or contacting external endpoints explicitly, but the ambiguous 'research' step could cause an agent to browse the web or call external APIs depending on platform policies.
ℹ Install Mechanism
No install spec is present in the registry metadata (instruction-only), but SKILL.md shows an npx install command. Running npx would fetch code from npm — that is not part of the published registry spec here and carries the usual caution of executing third-party packages. The skill itself does not automatically download or install anything when evaluated as-is.
✓ Credentials
The skill declares no required env vars, no credentials, and no config paths. That is proportionate for an advisory/promotions planning skill that does not integrate directly with Amazon APIs.
✓ Persistence & Privilege
always is false and there are no install-time effects declared. The skill does not request persistent presence or system configuration changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amazon-brand-tailored-promotions
  3. After installation, invoke the skill by name or use /amazon-brand-tailored-promotions
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug amazon-brand-tailored-promotions
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Amazon Brand Tailored Promotions?

Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentives. It is an AI Agent Skill for Claude Code / OpenClaw, with 137 downloads so far.

How do I install Amazon Brand Tailored Promotions?

Run "/install amazon-brand-tailored-promotions" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Amazon Brand Tailored Promotions free?

Yes, Amazon Brand Tailored Promotions is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Amazon Brand Tailored Promotions support?

Amazon Brand Tailored Promotions is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Amazon Brand Tailored Promotions?

It is built and maintained by nexscope-ai (@nexscope); the current version is v1.0.0.

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