Agent skill

Grad Platform Economics

by asgard-ai-platform in asgard-ai-platform/skills

Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies.

MITAuto-check passedProduct & Project Management

Install Grad Platform Economics

skills CLI
$ npx skills add asgard-ai-platform/skills --skill grad-platform-economics -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills grad-platform-economics --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/grad-platform-economics .claude/skills/grad-platform-economics && 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
grad-platform-economics
GitHub stars
242
Token cost
~1.4k tokens
SKILL.md length
503 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies.

  • Works in 4 steps: Identify Platform Type and Sides → Map Network Effects → Solve the Chicken-and-Egg Problem → …
  • The user needs to evaluate a platform business model
  • SKILL.md covers Overview, When to Use, Assumptions and Methodology, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grad Platform Economics is an agent skill from asgard-ai-platform/skills. Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies. Use this skill when the user needs to evaluate a platform business model, diagnose why a platform is failing to scale, or choose a subsidy strategy for bootstrapping a two-sided market.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/network-effects-math.md` and `references/platform-pricing-models.md`).

It sits in Product & Project Management, covering Product strategy and Pricing strategy. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to evaluate a platform business model
  • Diagnose why a platform is failing to scale
  • Choose a subsidy strategy for bootstrapping a two-sided market

Example prompts

  • “/grad-platform-economics”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify Platform Type and Sides
  2. Map Network Effects
  3. Solve the Chicken-and-Egg Problem
  4. Design Pricing Architecture

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Grad Platform Economics loads about 1.4k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 503 words, ~1,409 tokens.

Download SKILL.mdSave it as .claude/skills/grad-platform-economics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grad-platform-economics
description
Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies. Use this skill when the user needs to evaluate a platform business model, diagnose why a platform is failing to scale, or choose a subsidy strategy for bootstrapping a two-sided market.
metadata.category
WP-24 創新與國際化
metadata.tags
platform-economics, network-effects, two-sided-markets, chicken-and-egg, pricing-strategy, multi-sided-platform

Platform Economics: Network Effects and Multi-Sided Markets

Overview

Platform economics studies businesses that create value by facilitating interactions between two or more distinct user groups. Unlike pipeline businesses that create value linearly, platforms exhibit network effects where each additional user increases value for others. The central challenge is the chicken-and-egg problem: neither side joins without the other.

When to Use

Trigger conditions:

  • User is designing or evaluating a multi-sided platform business model
  • User asks how to bootstrap a marketplace with no users on either side
  • User needs to decide pricing: who to subsidize, who to charge
  • User mentions "network effects", "marketplace", "platform strategy", or "chicken-and-egg"

When NOT to use:

  • For linear/pipeline business models -> use Porter's value chain
  • For competitive dynamics between platforms -> use grad-coopetition
  • For innovation strategy within platforms -> use grad-ambidexterity

Assumptions

IRON LAW: Value Scales with Interactions, NOT Users

A platform with 1 million users but zero transactions has ZERO value.
The unit of platform value is the INTERACTION (transaction, match,
message), not the user count. Vanity metrics (registered users, downloads)
mask platform failure.

Always measure: interactions per user per time period.
  • At least two distinct user groups exist with interdependent demand
  • The platform does not own the means of production — it orchestrates
  • Winner-take-all dynamics strengthen with network effect intensity

Methodology

Step 1: Identify Platform Type and Sides

Classify the platform and its sides:

  • Transaction platform: Facilitates exchange (Uber, Airbnb, eBay)
  • Innovation platform: Provides foundation for complements (iOS, AWS)
  • Hybrid: Both transaction and innovation (Amazon, WeChat)

List each side and what value they seek from the platform.

Step 2: Map Network Effects

For each pair of sides, identify:

  • Same-side (direct) effects: More users on side A attract more users on side A? (Positive: social networks. Negative: seller competition on marketplaces.)
  • Cross-side (indirect) effects: More users on side A attract more users on side B? (Riders attract drivers, and vice versa.)
Step 3: Solve the Chicken-and-Egg Problem

Select a bootstrapping strategy:

StrategyMechanismExample
Subsidize one sideMake one side free/cheap to attract the otherAdobe PDF Reader free, Acrobat paid
Single-player modeProvide standalone value before network kicks inOpenTable reservation system for restaurants
SeedingCreate supply yourself initiallyReddit founders posted early content
Marquee usersSign high-profile users to attract the massGaming consoles sign exclusive titles
PiggybackingLeverage existing networkPayPal on eBay
Show full SKILL.md (168 more words)Show less
Step 4: Design Pricing Architecture

Determine the "money side" and "subsidy side":

  • The side with lower price elasticity pays more
  • The side that generates stronger cross-side effects gets subsidized
  • Never charge both sides equally in early stages

Output Format

markdown
# Platform Analysis: {Platform Name}

## Platform Architecture
- Type: Transaction / Innovation / Hybrid
- Sides: {list each side and their value proposition}

## Network Effects Map
| Effect | Type | Direction | Strength |
|--------|------|-----------|----------|
| {Side A to Side A} | Same-side | Positive/Negative | High/Med/Low |
| {Side A to Side B} | Cross-side | Positive/Negative | High/Med/Low |

## Chicken-and-Egg Strategy
- Recommended approach: {strategy}
- Subsidy side: {which side and why}
- Money side: {which side and why}

## Key Metrics
- Core interaction: {what counts as a successful interaction}
- Interaction rate: {interactions per user per period}
- Liquidity threshold: {minimum activity for self-sustaining growth}

Gotchas

  • Network effects are not viral effects: Virality is about acquisition speed; network effects are about value increase. A product can be viral without network effects (Hotmail) or have network effects without virality (Bloomberg Terminal).
  • Negative same-side effects matter: More sellers on a marketplace HURTS each seller. If negative same-side effects outpace cross-side benefits, the platform collapses.
  • Multi-homing kills lock-in: If users easily use competing platforms simultaneously (drivers on Uber AND Lyft), network effects weaken. Assess multi-homing costs.
  • Winner-take-all is not guaranteed: Markets with strong local effects, low multi-homing costs, or niche differentiation support multiple platforms.
  • Disintermediation risk: Participants may bypass the platform once connected. Build ongoing value or enforce switching costs.

References

  • For network effects mathematical models (Metcalfe, Reed), see references/network-effects-math.md
  • For platform pricing formalization (Rochet-Tirole), see references/platform-pricing-models.md

© asgard-ai-platform, 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 3 other files (references) in grad-platform-economics of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/network-effects-math.md
  • references/platform-pricing-models.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Grad Platform Economics 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.

Grad Platform Economics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grad Platform Economics this skillasgard-ai-platform/skills242—~1.4kAutomated safety check: PassMIT
Setting PricingGTM-Strategist/gtm-strategist-skills264—~5.4kAutomated safety check: PassMIT
Company Research Briefdeanpeters/Product-Manager-Skills7.2k1 repos~3.8kAutomated safety check: PassCustom licence
Lean Startupgetagentseal/founder-playbook729—~4.6kAutomated safety check: PassMIT
Monetizing Innovationwondelai/skills2.4k—~5.2kAutomated safety check: PassMIT
Eval Business LogicIbrahim-3d/orchestrator-supaconductor381—~1.6kAutomated safety check: PassAGPL-3.0

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Questions about Grad Platform Economics

What does Grad Platform Economics do?

Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies. Grad Platform Economics is an agent skill from asgard-ai-platform/skills. Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies.

When should I use Grad Platform Economics?

Grad Platform Economics fits situations like: the user needs to evaluate a platform business model; diagnose why a platform is failing to scale; choose a subsidy strategy for bootstrapping a two-sided market.

How do I install Grad Platform Economics in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill grad-platform-economics -a claude-code`. Or copy the skill folder (grad-platform-economics in asgard-ai-platform/skills) into .claude/skills/grad-platform-economics in your project. Claude Code loads it when a task matches its description.

How do I install Grad Platform Economics in Codex?

Run `npx skills add asgard-ai-platform/skills --skill grad-platform-economics -a codex`. Or copy the skill folder (grad-platform-economics in asgard-ai-platform/skills) into .agents/skills/grad-platform-economics in your project. Codex loads it when a task matches its description.

Can I use Grad Platform Economics 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 asgard-ai-platform/skills --skill grad-platform-economics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-platform-economics, .gemini/skills/grad-platform-economics, .github/skills/grad-platform-economics and .opencode/skills/grad-platform-economics in your project.

What does Grad Platform Economics need to run?

SKILL.md names no scripts, command-line tools or credentials: Grad Platform Economics is instructions for the agent only.

Does Grad Platform Economics 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 Grad Platform Economics 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. Review the folder before installing.

What licence does Grad Platform Economics use?

Grad Platform Economics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grad Platform Economics use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Grad Platform Economics?

Skills that share tags, products or a category with Grad Platform Economics: Setting Pricing (GTM-Strategist/gtm-strategist-skills, 264 stars), Company Research Brief (deanpeters/Product-Manager-Skills, 7.2k stars), Lean Startup (getagentseal/founder-playbook, 729 stars) and Monetizing Innovation (wondelai/skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grad Platform Economics?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.