Agent Skills Reshape AI Specialization Economics
The article defines the Model Context Protocol (MCP) and Agent Skills as runtime 'soft forks' that change agent behavior via context injection without altering model weights or harnesses. It describes a simple, versioned skill package format (SKILL.md) and sandboxed execution, plus SkillsBench, an 85-task benchmark finding average gains of 13.2 percentage points with notable domain variance. The piece recommends compact skills and targeted evaluation to avoid regressions.
Scoring Rationale
Strong empirical benchmark and practical, auditable skill architecture; limited by single-source reporting and lacking broader cross-model validation.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
