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Over the last few posts, I've worked through the five doc types that configure AI agents, why they count as internal documentation, and how to write skills and score them.
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Last time, I walked through writing skills that agents can actually execute and introduced skill-validator as a way to catch structural and content issues before an agent ever sees the skill.
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First, I argued that agent configurations are documentation.
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A few months into working with AI agents on a documentation project, I'd noticed some inconsistency in agent behaviors and decided to do some digging.
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The people best positioned to configure AI agents like Claude Code aren't engineers.
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