Agent skill

Marketplace Advisor

by borghei in borghei/Claude-Skills

Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects.

MITAuto-check passed

Install Marketplace Advisor

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

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

GitHub CLI
$ gh skill install borghei/Claude-Skills marketplace-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/marketplace-advisor .claude/skills/marketplace-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
marketplace-advisor
GitHub stars
891
Token cost
~1.3k tokens
SKILL.md length
588 words
Files
5 (incl. scripts, references, assets)
Skills in repo
354
Repo updated
First seen
Licence
MIT

At a glance

Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects.

  • Works in 4 steps: Capture key metrics: GMV, take rate,… → Run: python… → Identify which dimension is the… → …
  • Scoping a marketplace idea
  • SKILL.md covers Keywords, Clarify First, Quick Start and Core Workflows, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

Marketplace Advisor is an agent skill from borghei/Claude-Skills. Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects. Use when scoping a marketplace idea or scoring health, or mentioning marketplace, take rate, liquidity, or network effects.

Its SKILL.md is about 1.3k 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/marketplace_metrics_template.json`, `references/marketplace_dynamics.md` and `references/take_rate_design.md`).

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

  • Scoping a marketplace idea
  • Mentioning marketplace
  • Network effects

Example prompts

  • “/marketplace-advisor”

Requirements

  • Python 3

Workflow steps

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

  1. Capture key metrics: GMV, take rate, supply, demand, fill rate, repeat rate
  2. Run: python scripts/marketplace_health_scorer.py metrics.json
  3. Identify which dimension is the constraint (usually one of: not enough supply, not enough demand, low repeat, weak liquidity, take rate…
  4. Plan one focused intervention; don't try to fix all five at once

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

Marketplace Advisor loads about 1.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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). 588 words, ~1,345 tokens.

Download SKILL.mdSave it as .claude/skills/marketplace-advisor/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
marketplace-advisor
description
Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects. Use when scoping a marketplace idea or scoring health, or mentioning marketplace, take rate, liquidity, or network effects.
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
vertical-advisors
metadata.domain
marketplace
metadata.updated
2026-05-04
metadata.python-tools
marketplace_health_scorer.py
metadata.tech-stack
marketplace, network-effects

Marketplace Advisor

Strategic frameworks for two-sided and multi-sided marketplace founders, operators, and product leaders. Marketplaces have distinctive economics — most ecommerce / SaaS playbooks don't translate.


Keywords

marketplace, two-sided market, three-sided market, multi-sided market, supply, demand, liquidity, take rate, network effects, chicken and egg, GMV, repeat rate, fill rate, supply density


Clarify First

Before scoring, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Measurement unit — whole marketplace or one liquid segment (city/category)? Liquidity beats GMV; a blended global number can hide a broken core (sets what the score actually describes)
  • Category + take rate — benchmarks vary widely (Etsy ~6.5% vs Uber ~25-30%), so the take-rate-sustainability dimension is meaningless without the category
  • Supply, demand, and fill rate — drive the liquidity and balance dimensions, usually the binding constraint
  • Repeat rate — drives repeat-strength; a low repeat often signals off-platform leakage rather than a healthy marketplace

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 score.

Quick Start

bash
python scripts/marketplace_health_scorer.py metrics.json

Scores marketplace health across liquidity, supply/demand balance, take rate sustainability, repeat rate, and network-effect strength.


Core Workflows

Workflow 1: Marketplace Health Diagnostic
  1. Capture key metrics: GMV, take rate, supply, demand, fill rate, repeat rate
  2. Run: python scripts/marketplace_health_scorer.py metrics.json
  3. Identify which dimension is the constraint (usually one of: not enough supply, not enough demand, low repeat, weak liquidity, take rate too high or too low)
  4. Plan one focused intervention; don't try to fix all five at once

Time Estimate: 2-4 weeks per diagnostic.

Workflow 2: Chicken-and-Egg Strategy
  1. Read references/marketplace_dynamics.md
  2. Identify your "constrained side" (usually supply for new marketplaces)
  3. Pick a strategy: subsidize the constrained side, single-player mode, vertical wedge, geographic concentration
  4. Measure liquidity in the smallest viable unit (one city, one category, one buyer segment)

Time Estimate: 6-12 months for first liquid segment.

Workflow 3: Take-Rate Decision
  1. Read references/take_rate_design.md
  2. Benchmark category norms (eBay 10-13%, Airbnb 14%, Uber 25-30%, Etsy 6.5%, vertical B2B varies)
  3. Decide: high take rate (full-stack with lots of value-add) vs. low take rate (commodity matching)
  4. Plan trajectory: most marketplaces raise take rate over time as value-adds compound

Time Estimate: 4-8 weeks for first take-rate decision.


Show full SKILL.md (214 more words)Show less

Tools

marketplace_health_scorer.py

Scores marketplace health on five dimensions: liquidity, balance, take-rate sustainability, repeat-rate strength, and supply density.

bash
python scripts/marketplace_health_scorer.py metrics.json
python scripts/marketplace_health_scorer.py metrics.json --json

Reference Guides

  • references/marketplace_dynamics.md — Chicken-and-egg, liquidity, network effects, vertical / horizontal trade-offs
  • references/take_rate_design.md — Take rate benchmarks, when to raise / lower, full-stack vs lean

Templates

  • assets/marketplace_metrics_template.json — Input file for the health scorer with example values

Best Practices

  • Liquidity over GMV. A marketplace with $10M GMV across 1,000 cities is mostly broken; the same GMV in 5 cities can be liquid and growing.
  • Pick a wedge. New marketplaces almost always start narrow (single city, single category, single segment) and expand.
  • Measure repeat early. Marketplaces without repeat are often serving as infrastructure for off-platform transactions (a leakage problem to fix or accept).
  • Take rate ratchets up, rarely down. Start low to attract supply; add value-adds (payments, fulfillment, insurance, financing) that justify higher take rate.
  • Single-side first when possible. Some categories let you build a tool for one side that becomes a marketplace once liquid (e.g., OpenTable started as restaurant software).
  • Beware of weak network effects. Many "marketplaces" lack real network effects — supply on one platform doesn't make demand stickier on that platform. Examine carefully.

Integration Points

  • Pairs with business-growth/pricing-strategy — take rate is essentially marketplace pricing
  • Pairs with c-level-advisor/cs-fundraising-advisor — marketplace investor expectations differ from SaaS
  • Pairs with marketing/landing-page-generator for supply / demand recruitment funnels

© 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/marketplace-advisor of borghei/Claude-Skills.

  • SKILL.md
  • assets/marketplace_metrics_template.json
  • references/marketplace_dynamics.md
  • references/take_rate_design.md
  • scripts/marketplace_health_scorer.py

Open the folder on GitHubat commit 4a698e8

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Questions about Marketplace Advisor

What does Marketplace Advisor do?

Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects. Marketplace Advisor is an agent skill from borghei/Claude-Skills. Strategic advisory for two-sided marketplace founders on chicken-and-egg, take rates, liquidity, and network effects.

When should I use Marketplace Advisor?

Marketplace Advisor fits situations like: scoping a marketplace idea; mentioning marketplace; network effects.

How do I install Marketplace Advisor in Claude Code?

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

How do I install Marketplace Advisor in Codex?

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

Can I use Marketplace 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 marketplace-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/marketplace-advisor, .gemini/skills/marketplace-advisor, .github/skills/marketplace-advisor and .opencode/skills/marketplace-advisor in your project.

What does Marketplace Advisor need to run?

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

Does Marketplace 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 Marketplace 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 Marketplace Advisor use?

Marketplace 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 Marketplace Advisor use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 3.7k tokens, read only when the agent opens those files.

What are the alternatives to Marketplace Advisor?

Skills that share tags, products or a category with Marketplace Advisor: Idea Refinement (addyosmani/agent-skills, 104k stars), HTML PPT Studio (lewislulu/html-ppt-skill, 8.6k stars), Agent Browser (quran/quran.com-frontend-next, 1.9k stars) and Dependency Watch (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Marketplace Advisor?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 891 GitHub stars. The repository holds 354 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.