Stop Building Agents And Start Building Skills

InnovationStop Building Agents And Start Building SkillsByAmbika Saklani Bhardwaj,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 15, 2026, 07:00am EDTAmbika Saklani Bhardwaj, Product Leader at Walmart Inc. gettyEvery time your team wants a new AI capability, what's the instinct? Build a new agent. Need to search Confluence? Agent. Need to query BigQuery? Agent. Need to draft a Jira ticket? Agent. This ultimately creates dozens of agents, each with its own hardcoded tools, duplicated logic and zero shared infrastructure. You don't have a platform. You have spaghetti.​The worst form of technical debt in AI systems is duplicated capability baked into isolated agents.This is agent sprawl, a pattern where every agent reinvents the wheel because there's no shared layer of reusable, composable skills. Every search tool, every formatter, every API wrapper gets copy-pasted into yet another agent. The cost? Maintenance hell, governance nightmares, inconsistent behavior and zero leverage.​​The Skill-First PhilosophyThe antidote to agent sprawl is deceptively simple: Build skills, not agents. A skill is a focused, well-defined, independently deployable capability—basically, a tool that does one thing exceptionally well. A search skill knows how to search. A BigQuery skill knows how to write and execute queries. An email skill knows how to draft and send messages.Agents become thin orchestrators. They don't own tools; they borrow skills from a shared registry. When you fix a bug in the search skill, every single agent that uses it gets the fix automatically. When you add a new data source to the BigQuery skill, the entire org benefits instantly. That's leverage.​The Three Laws Of Skill-First Design​There are three laws of skill-first design:​1. Atomic: Each skill does one thing and does it brilliantly. N...