Your AI Agent Gets Dumber the More You Teach It. Skill Graphs Are the Fix.

The Context Window Paradox Nobody Warned You About Here's the problem nobody talks about: every time you load a large skill file into your AI agent's context, you're making it worse at reasoning. Not near the limit. At every increment. Chroma's 2025 study tested 18 frontier models — GPT-4.1, Claude, Gemini 2.5, Qwen3 — and found performance degrades linearly as input length increases . The bigger the context, the worse the reasoning. This creates a fundamental tension for anyone building AI agents: your agent needs domain depth to be useful, but the mechanism for delivering that depth actively undermines its ability to reason about what you gave it . Why Loading More Knowledge Makes Your Agent Dumber Traditional skill files try to pack everything into one monolithic context. You give your agent a 50KB file with every framework, constraint, and example it might need. The agent dutifully loads it all. Then you ask it a question. The model has to attend to all 50KB of context for every to