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nexscope

Amazon Backend Keywords

by nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
123
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Install in OpenClaw
/install amazon-backend-keywords
Description
Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and forma...
README (SKILL.md)

Amazon Backend Keywords 🏷️

Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and formatting keywords that aren't already in your listing.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-backend-keywords -g

Usage

Optimize my backend keywords. My product is a bamboo laptop stand. Here are my current title and bullets: [paste listing]. Here are 50 keyword candidates: [paste keywords].

Capabilities

  • 250-byte limit optimization (maximum keyword coverage in minimum space)
  • Deduplication against title, bullets, and description
  • Keyword prioritization by relevance and search volume signals
  • Spanish/multilingual keyword inclusion strategy
  • Misspelling and synonym coverage
  • Prohibited term filtering (competitor brands, restricted claims)
  • Before/after coverage comparison

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 to do what it says (generate deduplicated, 250-byte backend keywords) but has two things to verify before you proceed: (1) The SKILL.md tells you to run an npx install command that would fetch third-party code, yet the registry metadata lists no install spec — review the npm/GitHub package (nexscope-ai/eCommerce-Skills) and its source code and license before running npx. (2) Ask the author how 'search volume signals' are obtained — does the skill call external paid APIs that will require you to supply credentials, or does it estimate volumes heuristically? Also avoid pasting any secrets or private data into prompts; only paste the product title/bullets and keyword candidates. If you want lower risk, use the skill only as an instruction-only flow (paste your listing and keywords) and decline to run the npx install until you've inspected the package source.
Capability Analysis
Type: OpenClaw Skill Name: amazon-backend-keywords Version: 1.0.0 The skill bundle consists of metadata and instructional Markdown (SKILL.md) designed to guide an AI agent in optimizing Amazon backend keywords. It contains no executable code, and the instructions are entirely consistent with the stated purpose of e-commerce SEO optimization, with no evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
ℹ Purpose & Capability
Name and description align with the declared capabilities (deduplication, prioritization, formatting to 250 bytes). However, some advertised capabilities — specifically 'keyword prioritization by relevance and search volume signals' and 'research and analyze' — imply external data or analytics access that the skill does not declare (no APIs, credentials, or concrete data sources). This is a capability/requirement mismatch worth clarifying.
✓ Instruction Scope
SKILL.md instructs the agent to collect product info from the user, ask a single multiple-choice follow-up, and produce structured output. It does not instruct the agent to read unrelated files, environment variables, or to exfiltrate data. The only concern is the vague 'research and analyze using the frameworks and methodology below' phrasing — there is no concrete methodology or explicit external-data steps, which grants the agent broad discretion.
⚠ Install Mechanism
Registry metadata shows 'No install spec' and no code files, but SKILL.md contains an 'Install' command recommending: 'npx skills add nexscope-ai/eCommerce-Skills --skill amazon-backend-keywords -g'. That instruction would fetch and run code from npm/GitHub when executed. The mismatch between the registry (no install) and the in-doc install instruction is inconsistent and increases risk because running the npx command downloads and executes third-party code not reviewed here.
ℹ Credentials
The skill declares no required environment variables, credentials, or config paths, which is appropriate for a text-based keyword helper. But the skill's claim of using 'search volume signals' suggests it might need external analytics APIs (e.g., Helium10, SEMrush, Google Trends) — none are declared. That raises a question: either the skill will use heuristics without external data (benign) or it will silently require external keys if you install the referenced package (not declared).
✓ Persistence & Privilege
No special privileges requested. Flags are default (not always-on), user-invocable, and allow autonomous invocation (platform default). The skill does not declare persistent system changes or modifications to other skills' configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amazon-backend-keywords
  3. After installation, invoke the skill by name or use /amazon-backend-keywords
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of amazon-backend-keywords skill. - Generates optimized Amazon backend keyword sets for maximum discoverability. - Automatically deduplicates, prioritizes, and formats up to 250 bytes of backend keywords excluded from existing listings. - Supports multiple e-commerce platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, and BigCommerce. - Features: keyword deduplication, relevance prioritization, multilingual support, synonym/misspelling coverage, prohibited term filtering, and before/after coverage comparison. - Provides structured, actionable recommendations and benchmarks.
Metadata
Slug amazon-backend-keywords
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Amazon Backend Keywords?

Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and forma... It is an AI Agent Skill for Claude Code / OpenClaw, with 123 downloads so far.

How do I install Amazon Backend Keywords?

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

Is Amazon Backend Keywords free?

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

Which platforms does Amazon Backend Keywords support?

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

Who created Amazon Backend Keywords?

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

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