Researchagent skillsmodel context protocolbenchmarksfine tuning
Agent Skills Reshape AI Specialization Economics
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Relevance Score
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.



