Why AI Agent Skills Need a Marketplace (And Why I Built One)
Every week, a new AI agent framework launches. Manus, Devin, OpenAI Operator, Claude Computer Use — the list grows daily. But here's the thing nobody talks about: these agents are only as good as t...

Source: DEV Community
Every week, a new AI agent framework launches. Manus, Devin, OpenAI Operator, Claude Computer Use — the list grows daily. But here's the thing nobody talks about: these agents are only as good as the skills they can access. The Problem: Fragmented AI Skills Right now, if you build a useful automation — say, a skill that lets an AI agent scrape competitor pricing, generate SEO reports, or manage your CRM — it lives and dies on your local machine. There's no standard way to: Discover what skills exist across the ecosystem Trust that a skill does what it claims (without reading every line of code) Install skills across different agent platforms Monetize your work if you're a creator This is the "app store problem" all over again — except for AI agents. Why Marketplaces Win Think about what happened with mobile apps. Before the App Store, distributing software was chaos. The marketplace model solved three critical problems: Discovery — Users could find what they needed Trust — Reviews, rat