Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add RefoundAI/lenny-skills --skill "platform-strategy"
Install specific skill from multi-skill repository
# Description
Help users design and execute platform business strategies. Use when someone is building a marketplace, creating an ecosystem, deciding on API strategy, thinking about multi-sided network effects, or building developer platforms.
# SKILL.md
name: platform-strategy
description: Help users design and execute platform business strategies. Use when someone is building a marketplace, creating an ecosystem, deciding on API strategy, thinking about multi-sided network effects, or building developer platforms.
Platform Strategy
Help the user design and execute platform business strategies using frameworks from 24 product leaders who have built and scaled platforms.
How to Help
When the user asks for help with platform strategy:
- Understand the platform type - Clarify whether they're building a marketplace, API platform, ecosystem, or developer platform
- Identify the network effects - Help them understand which sides of the platform create value for each other
- Assess the lifecycle stage - Determine if they're in the moat-building, opening, or closing phase
- Design for trust and governance - Help them think through the rules that will govern platform participants
Core Principles
Treat internal platforms as products
Camille Fournier: "Platform engineering is not just maintaining cloud infrastructure... platforms are products, ultimately. You should be thinking about how do I create coherent offerings that make this company more productive?" Internal platforms need dedicated product management and focus on user (developer) productivity, not just technical elegance.
Understand the four-stage platform lifecycle
Brian Balfour: "The four steps are essentially, one is I call a Step Zero. It's the conditions of the market have been met. Step One is about a moat, Step Two is about a platform opening, and Step Three is about the platform closing for control and monetization." Platforms follow a predictable lifecycle from market consensus to closing for monetization.
Reduce cognitive load through clear interfaces
Jeremy Henrickson: "The more you can bake into a clear platform, it reduces the decision-making complexity for everyone who's working on the domain part of the problem." A well-defined platform with clear interfaces simplifies product development by reducing the cognitive load on individual teams.
Find compounding dynamics
Alex Komoroske: "Anything that is shaped like an ecosystem that has some kind of network effect... you have to know what you're looking for and find the dynamics of a thing that if it worked would work at an accelerating rate." Platform success comes from identifying "gardening" opportunities - projects with inherent compounding loops that grow on their own.
Build systems, not features
Aparna Chennapragada: "The way I think about how we are positioned and what we do with GitHub is... So it's a system, not just a product or a set of features." Long-term platform defensibility comes from building a comprehensive system and repository of context rather than just a single feature or tool.
Invest incrementally based on signals
Alex Komoroske: "Invest incrementally in ecosystem projects only as you receive signals of utility and adoption." Don't bet big on platform initiatives until you have evidence of demand and usage patterns.
Questions to Help Users
- "Which side of your platform is harder to acquire? That's probably where you should focus first."
- "What value does your platform provide to a user with zero other participants?"
- "What stage of the platform lifecycle are you in - building the moat, opening, or closing?"
- "How will you prevent the supply side from being commoditized or going around you?"
- "What compounding dynamics exist in your platform that accelerate as it grows?"
- "What governance rules will you enforce, and how will you handle disputes?"
Common Mistakes to Flag
- Building platforms in a vacuum - Not iterating based on actual product and developer needs
- Treating all participants equally - Not recognizing that power users and high-quality suppliers deserve different treatment
- Skipping the moat phase - Opening a platform before establishing defensibility
- Feature thinking over systems thinking - Building point solutions instead of comprehensive systems with context
- Over-investing before signals - Betting big on platform initiatives without evidence of utility and adoption
Deep Dive
For all 28 insights from 24 guests, see references/guest-insights.md
Related Skills
- platform-infrastructure
- retention-engagement
- pricing-strategy
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.