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Sep 6, 2026 · Artificial Intelligence

Five Pitfalls in AI Skill Design and How to Avoid Them

This article outlines five common pitfalls in AI skill development — missing acceptance criteria, skipping domain knowledge, misusing LLMs for deterministic tasks, over-automating workflows, and neglecting output examples — with practical fixes like validation checklists, reference materials, script delegation, human checkpoints, and sample-driven formatting.