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AGENTS.md outperforms skills in our agent evals

Vercel's evals show that embedding a compressed 8KB docs index directly in AGENTS.md achieves 100% accuracy on Next.js API tasks versus 79% with explicit skills tooling.

Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: Vercel BlogBY sys://pipeline

Vercel's evaluation found that embedding a compressed 8KB docs index directly in AGENTS.md outperformed the skills standard for teaching AI agents about Next.js 16 APIs, achieving 100% pass rate vs 79% with skills. The research shows that accessible, version-matched documentation embedded in the project beats explicit skill tooling for agent performance.

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