By Bill Maxwell, Solutions Architect - Obot AI
Your support team built a great "triage a ticket" skill for Claude Code. It took weeks to get right. Meanwhile your sales engineers — working in Cursor — built the same skill from scratch last month. Theirs isn't as good, and neither team knows the other's exists.
This is where a lot of enterprise AI adoption has quietly landed. Multiple AI clients, duplicated workflows, no shared knowledge, no governance. The problem isn't that teams are using different tools — it's that reusable enterprise knowledge keeps getting trapped inside them.
This post breaks down why central skills management is the missing piece, and what it actually looks like to govern and distribute AI skills across an organization.
Originally published on Obot AI
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