AI Skill Libraries Have Two Distinct Functions Most Developers Conflate
A month-long review of AI skill libraries revealed that most so-called skills serve one of two fundamentally different purposes: content or control. Content-heavy skills compress domain expertise into ordered steps, such as a legacy-code playbook distilling classic software engineering texts into a structured sequence. Control-heavy skills enforce evidence discipline through gates and artifacts, ensuring each phase produces verifiable outputs before proceeding. The two functions operate as independent dials, meaning a skill can be strong in one dimension while weak in the other. When neither the skill nor the surrounding system owns the missing dial, failures emerge quietly — well-structured but unverified outputs can look indistinguishable from correct ones until it is too late.
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