Agent skill · business finance · borghei
ecommerce-advisor
Strategic advisory for e-commerce founders on unit economics, fulfillment models, payments, and channel strategy. Use when evaluating an ecommerce idea or modeling unit economics, or mentioning DTC, Shopify, Amazon, 3PL, or CAC.
Why this skill is useful
Provides a structured calculator for modeling unit economics specific to e-commerce, which the AI wouldn't reliably generate on its own.
What it needs
Requires python installed locally. About 3k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
E-commerce Advisor Strategic frameworks for e-commerce founders, operators, and brand builders. Most ecommerce decisions are unit-economics decisions — knowing the math is the difference between a brand that compounds and one that subsidizes itself out of existence. --- Keywords ecommerce, e-commerce, DTC, direct-to-consumer, Shopify, Amazon, retail, wholesale, 3PL, fulfillment, dropship, unit economics, contribution margin, CAC, AOV, LTV, returns, refunds, payment processing, interchange --- Clarify First Before building the model, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Single channel or blended — model each channel (DTC, Amazon, wholesale) separately; a blended model hides an unprofitable channel and makes contribution margin meaningless [ ] AOV and COGS — average order value and landed cost of goods (drives gross margin, the top line of the model) [ ] Returns/refund rate — returns eat margin twice (the sale plus reverse logistics), so this swings contribution margin [ ] CAC basis — true paid/blended CAC and what ad spend is counted (drives CAC payback period and break-even repeat rate) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the model. Quick Start Calculates gross margin, contribution margin, CAC payback, and per-order profit from a structured input file. --- Core Workflows Workflow 1: Unit Economics Model 1. Build a JSON config: COGS, fulfillment cost, payment processing %, returns %, ad spend %, AOV 2. Run calculator: python scripts/ecomuniteconomicscalculator.py model.json 3. Identify the marginal cost line items eating most of the margin 4. Decide: cut costs, raise price, change channel mix, or kill the SKU Time Estimate: 2-4 weeks for first robust model. Workflow 2: Fulfillment Strategy 1. Read references/fulfillmentmodels.md 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/ecommerce-advisor