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cost-margin-unit-economics-review

cost-margin-unit-economics-review

github.com/sylphxaiData & databases144 installsUpdated today
Repository

About cost-margin-unit-economics-review

cost-margin-unit-economics-review is a skill for turning pricing, cost, margin, acquisition, retention, and profitability questions into a structured review artifact. It is intended for teams assessing product economics and includes metrics, decision gates, owners, and validation experiments.

Key features

  1. 01Classifies product economics models
  2. 02Defines revenue and cost measures
  3. 03Models margin and payback metrics
  4. 04Creates decision tables and event schemas
  5. 05Lists pricing risks and guardrails
  6. 06Plans assumption-validation experiments

Use cases

  1. 01Assessing sustainability of a pricing model
  2. 02Reviewing unit costs for an AI feature
  3. 03Comparing CAC payback across retention cohorts
  4. 04Planning tests for cost and margin assumptions

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sylphxai/skills --skill cost-margin-unit-economics-review

After installing, type/cost-margin-unit-economics-reviewin Claude Code to confirm it loaded.

Bundled filesagents/openai.yamlreferences/cost-margin-unit-economics-patterns.md

Details

From the project README

Cost Margin Unit Economics Review

Use this skill to convert a unit economics, gross margin, pricing sustainability, usage cost, CAC/LTV, refunds, support cost, and profitability question into a concrete artifact with owners, gates, metrics, and recovery paths.

Workflow

  1. Identify product model, price unit, value metric, cost drivers, acquisition channel, retention curve, refund/support load, and scale assumptions.
  2. Read references/cost-margin-unit-economics-patterns.md.
  3. Classify economics model: subscription, usage-based, marketplace, IAP/IAA game, API, AI feature, desktop app, services-assisted, or freemium.
  4. Define revenue, variable cost, fixed allocation, gross margin, contribution margin, CAC payback, expansion, sensitivity, and guardrail metrics.
  5. Produce unit economics model, state machine, decision table, event schema, pricing-risk checklist, and experiments to validate assumptions.

When not to use

  • Do not use for generic advice the base model already handles without this skill's specific artifact contract.

Guardrails

  • Do not call a plan profitable without variable costs, fees, refunds, support, abuse, and platform commissions.
  • Do not average away heavy users, enterprise discounts, free-tier abuse, regional pricing, or AI inference outliers.
  • Do not use LTV/CAC without retention cohort assumptions and payback window.
  • Do not fix margin only by hostile limits, surprise overages, or degraded product quality.

Output format

Economics context:
Price unit / cost drivers / scale assumptions:

Unit economics model:
| Area | Decision | Evidence | Risk | Owner |
| --- | --- | --- | --- | --- |

Cost and margin drivers:
- <item> -> <policy, metric, edge case, support note>

Guardrails and experiments:
- <trigger> -> <action, communication, owner>

Comments

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