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nexscope

Amazon Return Reduction

by nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
141
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0
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0
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1
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Install in OpenClaw
/install amazon-return-reduction
Description
Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides
README (SKILL.md)

Amazon Return Reduction

Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides

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-return-reduction

Usage

Help me with amazon return reduction for my e-commerce business.

Capabilities

  • Return rate reduction
  • root cause analysis
  • listing accuracy
  • packaging improvements
  • size guides

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 and low-risk as delivered (instruction-only, no credentials or installs required by the bundle). Before installing or running any external commands mentioned in the README: 1) verify the publisher (Nexscope) and the linked GitHub repos to ensure they match the package you intend to use; 2) do not share account credentials (Amazon seller credentials, AWS keys, or other secrets) with the skill—provide only anonymized or sample data unless you explicitly trust the provider and understand the data handling; 3) if you plan to run the npx command, inspect the npm package and its source code (or the repo) first and confirm npm ownership and recent activity; 4) watch for any follow-ups from the agent that request uploading CSVs, logs, or account access—prefer aggregated or redacted samples; 5) if the skill later includes an install spec, binaries, or requests additional environment variables, re-evaluate for proportionality. If you want, I can check the referenced GitHub links or search npm for the referenced package to confirm they exist and appear legitimate.
Capability Assessment
ℹ Purpose & Capability
The name, description, and SKILL.md are consistent: the skill is an advisory assistant for reducing Amazon return rates and asks for product/context info from the user. One minor inconsistency: the SKILL.md provides an 'Install' npx command (npx skills add nexscope/amazon-return-reduction) that implies an npm-distributed package, but the registry metadata for this skill shows no install spec or code files—this is likely just a user-facing convenience note rather than required behavior, but you should verify the package/source before running npx.
✓ Instruction Scope
The runtime instructions only ask the agent to collect product/platform/context from the user, ask a single follow-up, analyze, and produce structured recommendations. The instructions do not request reading local files, environment variables, or external endpoints beyond normal research and analysis, so scope is limited to the stated advisory purpose.
ℹ Install Mechanism
There is no install spec in the registry bundle and no code files (instruction-only), which is low-risk. However, SKILL.md's Install section references an npx command; if you intend to run that command, treat it as a separate action: verify the npm package and its source first because the registry bundle does not include code to inspect.
✓ Credentials
The skill declares no required environment variables, no credentials, and no config paths. That aligns with an advisory/consulting skill that operates only on user-provided descriptions and anonymized data.
✓ Persistence & Privilege
The skill does not request always:true or any elevated persistence. It is user-invocable and allows autonomous model invocation by default (the platform normal), which is appropriate for a helper skill of this kind.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amazon-return-reduction
  3. After installation, invoke the skill by name or use /amazon-return-reduction
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug amazon-return-reduction
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Amazon Return Reduction?

Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides. It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.

How do I install Amazon Return Reduction?

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

Is Amazon Return Reduction free?

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

Which platforms does Amazon Return Reduction support?

Amazon Return Reduction is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Amazon Return Reduction?

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

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