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sales-tracking-tool

sales-tracking-tool

github.com/nexscope-aiData & databases1.3k1.1k installsUpdated 9w ago
Repository

About sales-tracking-tool

A sales tracking and analysis skill for e-commerce businesses, helping define cross-platform KPIs, analyze trends, and monitor anomalies. It also covers SKU performance and customer cohort analysis.

Key features

  1. 01Cross-platform sales dashboard framework
  2. 02KPI definition and target setting
  3. 03Daily, weekly, monthly, and YoY trends
  4. 04Anomaly detection framework
  5. 05SKU-level performance tracking
  6. 06Customer cohort analysis

Use cases

  1. 01Set sales KPIs across multiple platforms
  2. 02Analyze sales trends by time period
  3. 03Identify unusual sales increases or drops

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill sales-tracking-tool

After installing, type/sales-tracking-toolin Claude Code to confirm it loaded.

Details

From the project README

Sales Tracking Tool 📉

Track and analyze e-commerce sales performance across platforms. Set up KPI dashboards, trend analysis, and performance alerts to catch issues and opportunities early.

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 sales-tracking-tool -g

Usage

Help me set up sales tracking for my business. I sell on Amazon ($30K/mo) and Shopify ($10K/mo). What KPIs should I track and how often?

Capabilities

  • Cross-platform sales dashboard framework (Amazon, Shopify, Walmart, etc.)
  • KPI definition and target setting by business stage
  • Trend analysis methodology (daily, weekly, monthly, YoY)
  • Anomaly detection framework (unusual spikes or drops)
  • SKU-level performance tracking
  • Cohort analysis for customer behavior insights

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.

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