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amazon-price-history亚马逊价格历史记录

Agent Skill

amazon-price-history 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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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5,544

周安装

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下载量

1,848
OpenClaw

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-price-history(亚马逊价格历史记录)
来源仓库:https://github.com/mguozhen/amazon-price-history
安装命令:
openclaw skills install amazon-price-history
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-price-history

简介

跟踪产品价格历史趋势与竞品调价行为。amazon-price-history 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 设定降价警报与最佳采购/销售时机提示。
  • 分析季节性波动与促销规律辅助定价决策。
  • 安装命令:openclaw skills install amazon-price-history。
  • 历史数据长度受平台限制,需注意时效性。

SKILL.md

name
amazon-price-history
description
Amazon product price history tracker and drop alert agent. Track price trends over time, identify the best time to buy or sell, analyze competitor pricing patterns, and set smart price alerts. Triggers: amazon price history, price tracker, price drop alert, keepa alternative, amazon price trend, historical pricing, price chart, best time to buy, price monitoring, amazon deal finder, price volatility, buy box price
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-price-history

Amazon Price History Tracker

Track Amazon product price history, identify pricing patterns, and time your pricing decisions with precision. Alternative to Keepa for sellers who want AI-assisted price analysis.

Paste product data, price snapshots, or competitor pricing. The agent builds price timelines, detects patterns, and recommends optimal pricing windows.

Commands

price add <asin> <price> [date]   # log a price data point
price trend <asin>                # analyze price trend direction
price pattern <asin>              # detect seasonal and cyclical patterns
price alert set <asin> <target>   # set alert for target price threshold
price compare <asin1> <asin2>     # compare pricing histories side-by-side
price best-time <asin>            # identify best time window to raise/lower price
price volatility <asin>           # compute price stability score
price chart <asin>                # render text-based price chart
price report <asin>               # full pricing analysis report
price save                        # save all price history to workspace

What Data to Provide

  • ASIN + price data — current or historical prices with dates
  • Buy Box price — the winning price you see on the listing
  • Competitor prices — other sellers on the same listing
  • Your cost structure — COGS, FBA fees, target margin
  • Seasonal context — any known promotions or peak periods

Price Analysis Framework

Price Data Points to Track

For each ASIN, capture:

Date | Price | Seller | Buy Box? | Coupon | Sale Event | Notes
2024-01-15 | $29.99 | Brand | Yes | 10% off | None | Normal
2024-01-20 | $24.99 | Brand | Yes | None | Flash sale | -17%
2024-02-01 | $32.99 | Brand | Yes | None | None | Post-sale

Price Trend Classification

Uptrend (Price rising):

  • Average price this month > last month by >5%
  • Signal: possible demand increase, supply constraints, or brand repositioning
  • Seller action: monitor for opportunity to raise your price

Downtrend (Price falling):

  • Average price this month < last month by >5%
  • Signal: increased competition, excess inventory, or market correction
  • Seller action: evaluate your cost floor, avoid race-to-bottom

Stable (±5% range):

  • Price within 5% of 90-day average
  • Signal: mature market equilibrium
  • Seller action: compete on other factors (listing quality, reviews, ads)

Volatile (Frequent swings >10%):

  • Price swings more than 10% within 30 days
  • Signal: heavy promotional activity or multiple sellers competing
  • Seller action: dynamic repricing is essential

Price Volatility Score

Volatility = (Max Price - Min Price) / Average Price × 100

Score 0-10:   Very stable — predictable market
Score 10-25:  Moderate — some promotional activity
Score 25-50:  Volatile — heavy competition or frequent sales
Score 50+:    Highly volatile — use dynamic repricing or avoid

Seasonal Pattern Detection

Map price history against calendar events:

  • Q4 (Oct-Dec): Holiday surge — premium pricing possible
  • Prime Day (July): Deep discounts expected, plan inventory
  • Back to School (Aug-Sep): Category-specific peaks
  • Valentine's/Mother's Day: Gift category spikes
  • Post-holiday (Jan-Feb): Price depression, clear inventory

Buy Box Price Analysis

The Buy Box price matters more than list price:

  • Track who holds the Buy Box at each snapshot
  • Compute your price gap vs. current Buy Box winner
  • Identify patterns in Buy Box rotation (if multiple sellers)

Buy Box pricing rules:

  • New seller entering: typically prices 5-10% below current winner
  • FBA advantage: can price slightly higher than FBM and still win
  • Low inventory: Buy Box may shift to higher-priced seller

Price Alert Thresholds

PRICE DROP ALERT:   Current price falls >10% below 30-day average
PRICE SPIKE ALERT:  Current price rises >20% above 30-day average
BUY BOX LOST:       Your price is no longer the Buy Box winner
COMPETITOR ENTRY:   New seller appears at significantly lower price
FLOOR ALERT:        Price drops below your calculated margin floor

Optimal Repricing Windows

Based on historical patterns:

  • Best time to raise price: After a competitor goes out of stock
  • Best time to lower price: 2 weeks before Prime Day to boost velocity
  • Avoid repricing: During major sale events (prices stabilize after)
  • Post-holiday: Expect 15-25% price compression, plan ahead

Margin Floor Calculation

Margin Floor = COGS + FBA Fees + Referral Fee + PPC Cost + Minimum Profit
Example:
  COGS:          $8.00
  FBA fees:      $4.50
  Referral (15%): price × 0.15
  PPC cost:      $2.00
  Min profit:    $2.00
  Floor = $8 + $4.50 + (price × 0.15) + $2 + $2 = solve for price
  Minimum price = ($16.50) / (1 - 0.15) = $19.41

Workspace

Creates ~/price-tracker/ containing:

  • history/ — price logs per ASIN (ASIN.md files)
  • alerts/ — triggered price alerts
  • patterns/ — seasonal pattern analysis
  • reports/ — full pricing reports

Output Format

Every price analysis outputs:

  1. Price Timeline Table — chronological price history with key events marked
  2. Trend Direction — current trend with confidence level
  3. Volatility Score — 0-100 stability rating with interpretation
  4. Pattern Summary — detected seasonal or cyclical patterns
  5. Optimal Price Window — recommended price and timing
  6. Margin Check — current price vs. your floor, profit per unit

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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能力概览

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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