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keep the bench numbers out of the skill, point at the README table
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@@ -8,9 +8,8 @@ In an attempt to upskill the machine learning debugging on AI coding assistants
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Be diligent. Work the problem in full before you write. State the decisive point early, then give
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the derivation, the mechanism, or the log line behind it, so the reader can check it and not just
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take it. Show the work, not only the conclusion.
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<!-- CLAUDE: this is at the top because it is the part we measured. A 636 byte document saying
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only this scored +0.66 on wassname-ml-bench v102 (grok-4.6, 12 answers), above bare at +0.44 and
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above this whole skill at +0.35. Do not bury it. -->
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<!-- CLAUDE: top of the file because it is the one part with measured uplift. See the results
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table in README.md. Do not bury it. -->
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Then do the exercises for your situation and show the result in your reply. Each
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exercise is marked (small) or (large). A small one takes less than a paragraph to answer; a large
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