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SKILL verified MIT Self-run

Pricing Optimizer

skill-openaccountant-skills-pricing-optimizer · by openaccountant

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Install

$ agentstack add skill-openaccountant-skills-pricing-optimizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Pricing Optimizer

Overview

Compare your current pricing against actual costs to calculate true margins per product or service. Identifies underpriced offerings, estimates the revenue impact of price adjustments, and suggests target pricing based on desired margin.

Wilson Tools Used

  • spending_summary — calculate COGS and direct costs per category to determine cost basis
  • transaction_search — pull revenue by product or service line, identify transaction volumes and average transaction size

Workflow

  1. Ask for the analysis period and list of products/services offered (or detect from transaction categories).
  2. Use transaction_search to find all revenue transactions, grouped by product/service type.
  3. Calculate: average sale price, total units sold, total revenue per offering.
  4. Use spending_summary to identify direct costs associated with each product/service.
  5. Calculate per-offering economics:
PRICING ANALYSIS — [Period]
════════════════════════════════════════════════════════════
Product/Service    Avg Price   Unit Cost   Margin   Volume   Revenue
────────────────────────────────────────────────────────────────────
Web Design Pkg      $3,000      $1,200      60%       8     $24,000
Monthly Retainer    $1,500        $900      40%      12     $18,000
Logo Design           $500        $350      30%      15      $7,500
Rush Projects       $2,000      $1,600      20%       5     $10,000
────────────────────────────────────────────────────────────────────
  1. Flag offerings with margins below 40% as candidates for price increases.
  2. For each underpriced offering, calculate the target price for a desired margin:
  • Target Price = Unit Cost / (1 - Desired Margin)
  • Example: $350 cost, 50% target margin = $350 / 0.50 = $700
  1. Estimate revenue impact of price changes assuming 0-10% volume loss per 10% price increase.
  2. Rank offerings by total profit contribution (margin * volume) to prioritize optimization effort.

Without Wilson

  1. Create a spreadsheet with columns: Product/Service, Price Charged, Direct Cost, Units Sold.
  2. Direct Cost includes materials, labor hours * hourly rate, software, and any cost that only exists because of this product.
  3. Unit Margin: =Price-DirectCost. Margin %: =UnitMargin/Price*100.
  4. Total Profit: =UnitMargin*UnitsSold.
  5. Target Price at desired margin: =DirectCost/(1-DesiredMarginPercent).
  6. Revenue Impact estimate: =NewPrice*UnitsSold*0.95 (assuming 5% volume drop per 10% price increase — adjust based on your price sensitivity).
  7. For services billed hourly, calculate your effective rate: =TotalClientPayments/TotalHoursWorked. Compare to market rates on Glassdoor, Upwork, or industry salary surveys.
  8. Use the pricing calculator at priceintelligently.com or profitwell.com/tools for SaaS-specific analysis.

Important Notes

  • Cost-plus pricing (cost + desired margin) is a floor, not a ceiling. Value-based pricing often supports higher prices than cost-plus suggests.
  • Volume sensitivity varies wildly. Commodity products are price-sensitive; specialized services are not. A 20% price increase on a niche service may lose 0% of clients.
  • Do not optimize purely on margin percentage. A 30% margin on $10,000 deals ($3,000 profit) beats a 60% margin on $500 deals ($300 profit) if volume is similar.
  • Test price increases on new clients first before changing existing client rates.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.