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Update skill-md-meets-repl.md
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@@ -160,7 +160,7 @@ Adding skill.md and a REPL doesn't mean agents suddenly work flawlessly. They st
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What these tools do is eliminate *unnecessary* failures. The agent won't fail because it used a deprecated method. That's a solved problem with skill.md. It won't fail because it guessed a collection name. The REPL lets it check. But it can still fail because it misunderstood what you meant by "similar products" or because the embedding model you're using doesn't capture the semantics you care about.
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You might ask: why not just pull context from docs automatically? Tools like [mcp-code-snippets](https://github.com/qdrant/mcp-code-snippets), Qdrant's MCP server for searching documentation and code examples, solve a real problem, but they solve a different one. Auto-generated context gives you API surface area. A SKILL.md gives you judgment. "Don't create one collection per user" isn't obvious from any API reference. "BM25 needs Modifier.IDF" is documented, but you have to know to look for it. Those lessons come from product intuition built over time - the kind of understanding that develops from building with a tool, not just reading about it. Skills distill that intuition into a format agents can use immediately. The two approaches aren't in competition. Use both.
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You might ask: why not just pull context from docs automatically? Tools like [mcp-code-snippets](https://github.com/qdrant/mcp-code-snippets), Qdrant's MCP server for searching documentation and code examples, solve a real problem, but they solve a different one. Auto-generated context gives you API surface area. A SKILL.md gives you judgment. "Don't create one collection per user" isn't obvious from any API reference. "BM25 needs Modifier.IDF" is documented, but you have to know to look for it. Skills distill that intuition into a format agents can use immediately. The two approaches aren't in competition. Use both.
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The goal isn't perfect agents. The goal is agents that fail for interesting reasons instead of boring ones. Deprecated API calls are boring failures. Wrong collection names are boring failures. Skill.md and REPL handle the boring stuff so you can focus on the hard problems.
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