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Agent skill

Ecommerce Advisor

by borghei in borghei/Claude-Skills

Strategic advisory for e-commerce founders on unit economics, fulfillment models, payments, and channel strategy.

MITAuto-check passedSales & Support

Install Ecommerce Advisor

skills CLI
$ npx skills add borghei/Claude-Skills --skill ecommerce-advisor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills ecommerce-advisor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/vertical-advisors/ecommerce-advisor .claude/skills/ecommerce-advisor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ecommerce-advisor
GitHub stars
881
Token cost
~1.2k tokens
SKILL.md length
532 words
Files
5 (incl. scripts, references, assets)
Skills in repo
349
Repo updated
First seen
Licence
MIT

At a glance

Strategic advisory for e-commerce founders on unit economics, fulfillment models, payments, and channel strategy.

  • Works in 4 steps: Build a JSON config: COGS, fulfillment… → Run calculator: python… → Identify the marginal cost line items… → …
  • Evaluating an ecommerce idea
  • SKILL.md covers Keywords, Clarify First, Quick Start and Core Workflows, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Ecommerce Advisor is an agent skill from borghei/Claude-Skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/unit_economics_template.json`, `references/channel_strategy.md` and `references/fulfillment_models.md`).

It sits in Sales & Support, covering E-commerce operations, Financial modeling and Go-to-market strategy. It works with Shopify. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Evaluating an ecommerce idea
  • Modeling unit economics

Example prompts

  • “/ecommerce-advisor”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Build a JSON config: COGS, fulfillment cost, payment processing %, returns %, ad spend %, AOV
  2. Run calculator: python scripts/ecom_unit_economics_calculator.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

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ecommerce Advisor loads about 1.2k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 532 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 532 words, ~1,174 tokens.

Download SKILL.mdSave it as .claude/skills/ecommerce-advisor/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
ecommerce-advisor
description
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.
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
vertical-advisors
metadata.domain
ecommerce
metadata.updated
2026-05-04
metadata.python-tools
ecom_unit_economics_calculator.py
metadata.tech-stack
ecommerce, retail

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

bash
python scripts/ecom_unit_economics_calculator.py model.json

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/ecom_unit_economics_calculator.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/fulfillment_models.md
  2. Score each model (DTC self-fulfilled, 3PL, Amazon FBA, dropship, retail) for your stage and SKU profile
  3. Migrate fulfillment as you scale — most brands change models 2-3 times in their first 3 years

Time Estimate: 4-8 weeks per major fulfillment transition.

Show full SKILL.md (220 more words)Show less
Workflow 3: Channel Strategy
  1. Read references/channel_strategy.md
  2. Decide channel mix: DTC site, Amazon, wholesale, retail, marketplace
  3. Each channel has distinct unit economics — model them separately, never blend
  4. Sequence: most brands start DTC, add Amazon, add wholesale / retail

Time Estimate: Continuous, with major decisions every 6-12 months.

Tools

ecom_unit_economics_calculator.py

Models per-order, per-month, and CAC-payback economics from a structured input.

bash
python scripts/ecom_unit_economics_calculator.py model.json
python scripts/ecom_unit_economics_calculator.py model.json --json

Input model schema in the script's docstring; example in assets/unit_economics_template.json.

Outputs:

  • Gross margin (% and absolute)
  • Contribution margin (after marginal CAC)
  • CAC payback period (months)
  • Break-even repeat rate

Reference Guides

  • references/fulfillment_models.md — DTC self, 3PL, FBA, dropship, retail — when each fits
  • references/channel_strategy.md — DTC site, Amazon, wholesale, retail — economics per channel

Templates

  • assets/unit_economics_template.json — Input file for the calculator with example values

Best Practices

  • Model channels separately. A blended LTV across DTC and Amazon hides the fact that Amazon may be unprofitable.
  • Returns and refunds compound. A 15% return rate eats into margin twice — once on the initial sale, once on the reverse logistics.
  • Plan for inventory. Working capital tied up in inventory is the #1 cash-flow killer for product brands.
  • Don't fall in love with revenue. $10M revenue at 5% contribution margin is worse than $3M revenue at 30% contribution margin.
  • Be honest about CAC. Most DTC brands subsidize CAC and call it growth. CAC payback under 6 months is the bar.

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in vertical-advisors/ecommerce-advisor of borghei/Claude-Skills.

  • SKILL.md
  • assets/unit_economics_template.json
  • references/channel_strategy.md
  • references/fulfillment_models.md
  • scripts/ecom_unit_economics_calculator.py

Open the folder on GitHubat commit 4a698e8

Compare with similar skills

Ecommerce Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ecommerce Advisor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ecommerce Advisor this skillborghei/Claude-Skills881—~1.2kAutomated safety check: PassMIT
Price Optimization Toolnexscope-ai/eCommerce-Skills1.1k—~3.3kAutomated safety check: PassMIT
Ecommerce Growth StrategyLeoYeAI/openclaw-master-skills2.2k1 repos~5.5kAutomated safety check: PassMIT
Apify Ecommerceapify/awesome-skills264—~4.6kAutomated safety check: NotesApache-2.0
Checkout Purchasekeypo-us/keypo-cli182—~880Automated safety check: NotesNone
Afaafadtc/afa-dtc-skills168—~2.6kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Ecommerce Advisor

What does Ecommerce Advisor do?

Strategic advisory for e-commerce founders on unit economics, fulfillment models, payments, and channel strategy. Ecommerce Advisor is an agent skill from borghei/Claude-Skills. Strategic advisory for e-commerce founders on unit economics, fulfillment models, payments, and channel strategy.

When should I use Ecommerce Advisor?

Ecommerce Advisor fits situations like: evaluating an ecommerce idea; modeling unit economics.

How do I install Ecommerce Advisor in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill ecommerce-advisor -a claude-code`. Or copy the skill folder (vertical-advisors/ecommerce-advisor in borghei/Claude-Skills) into .claude/skills/ecommerce-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Ecommerce Advisor in Codex?

Run `npx skills add borghei/Claude-Skills --skill ecommerce-advisor -a codex`. Or copy the skill folder (vertical-advisors/ecommerce-advisor in borghei/Claude-Skills) into .agents/skills/ecommerce-advisor in your project. Codex loads it when a task matches its description.

Can I use Ecommerce Advisor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill ecommerce-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecommerce-advisor, .gemini/skills/ecommerce-advisor, .github/skills/ecommerce-advisor and .opencode/skills/ecommerce-advisor in your project.

What does Ecommerce Advisor need to run?

Going by SKILL.md and its folder, Ecommerce Advisor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Ecommerce Advisor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ecommerce Advisor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ecommerce Advisor use?

Ecommerce Advisor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ecommerce Advisor use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Ecommerce Advisor?

Skills that share tags, products or a category with Ecommerce Advisor: Price Optimization Tool (nexscope-ai/eCommerce-Skills, 1.1k stars), Ecommerce Growth Strategy (LeoYeAI/openclaw-master-skills, 2.2k stars), Apify Ecommerce (apify/awesome-skills, 264 stars) and Checkout Purchase (keypo-us/keypo-cli, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ecommerce Advisor?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.