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amazon-competitor-analyzer

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=berabuddies-semia-tests-fixtures-skills-phheng-amazon-competitor-analyzer-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name amazon-competitor-analyzer description Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities. env ["BROWSERACT_API_KEY"] Amazon Competitor Analyzer This skill scrapes Amazon product data from user-provided ASINs using browseract.com's browser automation API and performs deep competitive analysis. When to Use This Skill Competitive research: Input multiple ASINs to understand market landscape Pricing strategy analysis: Compare price bands across similar products Specification benchmarking: Deep dive into technical specs and feature differences Review insights: Analyze review quality, quantity, and sentiment patterns Market opportunity discovery: Identify gaps and potential threats What This Skill Does ASIN Data Collection : Extract product title, price, rating, review count, images Specification Extraction : Deep extraction of technical specs, features, and materials Review Quality Analysis : Analyze review patterns, keywords, and sentiment Multi-Dimensional Comparison : Side-by-side comparison of key metrics Moat Identification : Identify core competitive advantages and barriers Vulnerability Discovery : Find competitor weaknesses and market opportunities Features Stable and accurate data extraction : Pre-set workflows ensure consistent results. Browser automation : Uses BrowserAct's automated browser instances for reliable data collection. Global accessibility : BrowserAct provides servers in multiple regions. Fast execution : Optimized workflow templates complete tasks quickly. Cost efficient : Reduces manual research time and associated costs. Prerequisites BrowserAct.com Account Setup You need a BrowserAct.com account and API key: Visit browseract.com Sign up for an account Navigate to API Settings Generate an API key Environment Configuration Copy the .env.example file to .env and add your API key: cp .env.example . env # Edit .env and replace YOUR_API_KEY_HERE with your actual API key Or set as environment variable: export BROWSERACT_API_KEY= "your-api-key-here" Usage Basic Analysis python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG Multiple Products python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG B07ABC11111 B08N5WRWNW With Output Directory python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG -o ./output Output Formats CSV : Structured data table Markdown : Comprehensive report JSON : Raw data with analysis Parameters Parameter Type Default Description asins string - One or more Amazon ASINs to analyze --output, -o string ./output Output directory --format string all Output format (csv/markdown/json/all) --api-key string env BrowserAct API key Dependencies This skill requires the following Python packages: pip install requests Optional (for automatic .env loading): pip install python-dotenv Environment Variables Variable Required Description BROWSERACT_API_KEY Yes Your BrowserAct API key. Get it from BrowserAct Console Error Handling Invalid API Key : Check BROWSERACT_API_KEY environment variable Network Error : Verify internet connection Rate Limit : Wait and retry with exponential backoff Invalid ASIN : Verify ASIN format (10 alphanumeric characters) Version : 1.0.0 Updated : 2026-02-09 Template ID : 77814333389670716
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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