Teach non-expert teams to automate workflows by publishing reusable AI agent skills

Non-expert teams in marketing, operations, finance and support want to automate routine workflows but are blocked by brittle, hand‑rolled LLM prompts and scarce engineering capacity; that creates slow, costly projects and fragile automations that teams can't maintain. This problem is widespread across mid‑market and enterprise buyers who already spend on SaaS integrations but lack reusable, interoperable building blocks. You could build a developer‑oriented registry of reusable "AI agent skills" with function‑calling contracts, SDKs and no‑code/low‑code wrappers, plus a managed runtime and admin console that provide observability, policy controls, and cost monitoring so non‑experts can safely deploy and combine skills. Publishers would version and monetize skills while IT retains governance and audit trails. The market is attractive now: a $6.0B TAM (2M businesses × $3K ACV), supported by a Market Score of 88/100 and Revenue Potential 86/100, and enabled by trends toward structured LLM outputs, enterprise demand for governance, and proven package marketplace economics. Your competitive edge would be combining a developer‑first packaging model (think npm/Terraform modules for agents) with enterprise‑grade security, observability and a user experience that lets non‑engineers compose skills; the hard parts are building robust cross‑LLM interoperability, convincing procurement/security teams, and achieving marketplace liquidity, but if you solve those you can capture meaningful ACV in a medium‑competition landscape.