数据与研究

margin-analyzer

anthropics/know…-plugins

Analyzes unit economics by product or service using PayPal merchant insights and QuickBooks cost data, benchmarks against inflation and cost changes, and shows pricing-scenario data (e.g. "a 5% increase historically correlates with ~3% volume drop"). Surfaces analysis only — does not recommend a price. Use when the user asks about raising prices, pricing, margin analysis, what to charge, whether costs are eating into profit, or how a price change might affect their business. Trigger even if the user doesn't say "margin" explicitly — phrases like "am I making enough?", "should I charge more?", or "my costs are going up" all call for this skill.

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安装命令

npx skills add https://github.com/anthropics/knowledge-work-plugins --skill margin-analyzer

SKILL.md

Margin Analyzer

Status: MVP draft · Owner: JJ · Version: 1.1.0 Category: Finance & Ops · Phase: V2

Quick start

When an SMB owner asks "should I raise my prices?" or "are my margins okay?", this skill:

  1. Identifies what to analyze — which products/services are in scope
  2. Pulls cost data from QuickBooks (COGS, direct expenses)
  3. Pulls revenue data from PayPal or Square (transaction history)
  4. Computes unit economics — revenue, COGS, gross margin, margin % per item
  5. Benchmarks against context — inflation, cost changes, industry norms if available
  6. Builds pricing scenarios — shows what happens to revenue and margin at +5%, +10%, +15% price changes, using historical correlation where data allows
  7. Presents the analysis — no price recommendation; the owner decides

The output equips the owner to make their own pricing call with real data behind it.

Margin Analyzer

Status: MVP draft · Owner: JJ · Version: 1.1.0 Category: Finance & Ops · Phase: V2

Quick start

When an SMB owner asks "should I raise my prices?" or "are my margins okay?", this skill:

  1. Identifies what to analyze — which products/services are in scope
  2. Pulls cost data from QuickBooks (COGS, direct expenses)
  3. Pulls revenue data from PayPal or Square (transaction history)
  4. Computes unit economics — revenue, COGS, gross margin, margin % per item
  5. Benchmarks against context — inflation, cost changes, industry norms if available
  6. Builds pricing scenarios — shows what happens to revenue and margin at +5%, +10%, +15% price changes, using historical correlation where data allows
  7. Presents the analysis — no price recommendation; the owner decides

The output equips the owner to make their own pricing call with real data behind it.