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amazon-competitor-spy亚马逊竞争对手间谍

Agent Skill

amazon-competitor-spy 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-competitor-spy(亚马逊竞争对手间谍)
来源仓库:https://github.com/mguozhen/amazon-competitor-spy
安装命令:
openclaw skills install amazon-competitor-spy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-competitor-spy

简介

长期追踪指定ASIN的价格波动、排名变化与视觉素材更新。

  • 适用于竞品情报库建设与模仿创新边界识别需求。
  • 记录评论增长速度、图片替换规律与变体扩展趋势。
  • 需定期手动添加监控对象列表维持追踪连续性。amazon-competitor-spy 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 历史数据保留周期受存储空间限制可能存在截断风险。

SKILL.md

name
amazon-competitor-spy
description
Amazon competitor intelligence agent. Tracks competitor ASINs over time — price changes, BSR movements, review count velocity, listing changes, new images/variations. Outputs trend tables and competitive alerts. Triggers: competitor spy, amazon competitor, track competitor, asin tracker, competitor analysis, bsr tracking, price tracking, amazon spy, competitor monitoring, listing changes, review velocity, competitive intelligence
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-competitor-spy

Amazon Competitor Spy

Track competitor ASINs over time and surface competitive intelligence — price shifts, BSR trends, review velocity, and listing changes.

Paste an ASIN or describe a competitor product. The agent tracks changes, computes trends, and alerts you when competitors make significant moves.

Commands

spy add <asin>                     # add an ASIN to your watchlist
spy check                          # run check on all tracked ASINs
spy compare                        # side-by-side competitor comparison matrix
spy price history                  # show price change timeline for tracked ASINs
spy bsr trend                      # 30-day BSR movement analysis
spy review velocity                # reviews/week rate for each tracked ASIN
spy listing diff                   # detect title/bullet/image changes vs. last snapshot
spy report                         # full competitive intelligence report
spy save                           # save current watchlist and snapshots to workspace

What Data to Provide

The agent works with:

  • ASIN list — paste ASINs directly, one per line or comma-separated
  • Verbal description — "my competitor is B08XYZ123, they just dropped price to $24.99"
  • Listing data — paste competitor title, bullets, price, BSR rank from Amazon
  • Historical notes — "last month their BSR was 3,200, now it's 980"

No API keys needed. No scraping tools required.

Workspace

Creates ~/amazon-spy/ containing:

  • watchlist.md — tracked ASINs with metadata and notes
  • snapshots/ — listing snapshots per ASIN (ASIN-YYYY-MM-DD.md)
  • reports/ — generated competitive intelligence reports
  • alerts.md — triggered alerts log

Analysis Framework

1. ASIN Tracking Setup

  • Store ASIN, product title, brand, category, initial price, initial BSR, initial review count
  • Record date added and last-checked timestamp
  • Tag each ASIN with a competitive tier (direct / indirect / aspirational)
  • Link your own ASIN to each competitor for direct comparison

2. Price Monitoring (Keepa-Style Logic)

  • Track price changes over time with date-stamped entries
  • Compute price volatility: (max price − min price) / avg price
  • Flag: sustained price drops >10% — potential margin squeeze or launch push
  • Flag: price increases >15% — possible supply issues or repositioning
  • Identify coupon/promo patterns if mentioned (e.g., "20% off coupon visible")
  • Compare competitor price vs. your price: gap analysis (you're $X cheaper/more expensive)

3. BSR Trend Analysis (30-Day Window)

  • Log BSR data points at each check with timestamps
  • Compute BSR velocity: (BSR start − BSR end) / days = ranks gained per day
  • Positive velocity = ranking improving (lower BSR number)
  • Flag: BSR improvement >500 ranks/week — aggressive launch or promotion detected
  • Flag: BSR deterioration >1,000 ranks/week — possible listing suppression or inventory out
  • Output sparkline-style trend table with direction indicators (↑↓→)

4. Review Velocity Analysis

  • Track total review count at each snapshot date
  • Compute weekly velocity: (reviews now − reviews at start) / weeks elapsed
  • Industry benchmark: healthy launch pace = 10–30 reviews/week
  • Flag: velocity >50 reviews/week — possible incentivized review campaign (watch for TOS risk)
  • Flag: sudden review drop — potential review removals (negative signal)
  • Compute projected total reviews in 30/60/90 days at current velocity

5. Listing Change Detection

  • Snapshot: title, bullet points (all 5), A+ content presence, image count, video presence
  • On spy listing diff, compare current snapshot vs. previous snapshot
  • Highlight: title keyword changes (competitive repositioning signal)
  • Highlight: bullet restructuring (conversion optimization attempt)
  • Highlight: new images or video added (brand investment signal)
  • Highlight: variation count changes (new sizes/colors = market expansion)

6. Competitive Positioning Matrix

  • Build a comparison table: Your ASIN vs. each competitor
  • Columns: Price | BSR | Reviews | Rating | Images | A+ | Video | Prime
  • Score each competitor 1–5 on listing quality
  • Identify your advantages and gaps
  • Output recommended actions based on gaps found

Output Format

Every report outputs:

  1. Competitive Snapshot — current standings table for all tracked ASINs
  2. Movement Alerts — any significant changes since last check
  3. Trend Charts — BSR and price trends (text-based sparklines)
  4. Opportunity Flags — competitor weaknesses you can exploit
  5. Recommended Actions — prioritized list of competitive responses

Rules

  1. Always ask for the user's own ASIN when adding competitors — context requires knowing your position in the market
  2. Never draw conclusions from a single data point — require at least 2 snapshots before declaring a trend
  3. Flag data gaps explicitly — if a metric is missing, say so rather than estimating silently
  4. Distinguish between correlation and causation — a BSR improvement could be organic or promotional
  5. Never recommend matching a competitor's price cut without first checking your own margin floor
  6. Save all snapshots to ~/amazon-spy/snapshots/ when spy save is called — tracking is only useful if historical data is preserved
  7. Alert on anomalies proactively — if velocity data suggests a launch push or suppression event, surface it immediately

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