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Amazon Backend Keywords
作者
nexscope-ai
· GitHub ↗
· v1.0.0
· MIT-0
123
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install amazon-backend-keywords
功能描述
Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and forma...
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install amazon-backend-keywords - 安装完成后，直接呼叫该 Skill 的名称或使用
/amazon-backend-keywords触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Amazon Backend Keywords 是什么？
Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and forma... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 123 次。
如何安装 Amazon Backend Keywords？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-backend-keywords」即可一键安装，无需额外配置。
Amazon Backend Keywords 是免费的吗？
是的，Amazon Backend Keywords 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Amazon Backend Keywords 支持哪些平台？
Amazon Backend Keywords 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Amazon Backend Keywords？
由 nexscope-ai（@nexscope）开发并维护，当前版本 v1.0.0。
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