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leo-lilinxiao

@leo-lilinxiao source repo

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• 2 skills
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• 1 day ago last updated

1. ▌
   Codex Autoresearch · leo-lilinxiao bundle

   Run repeated, measured Git experiments toward a numeric target; keep improvements and revert failures. Use for autonomous optimization or managing an autoresearch run, not one-shot edits.
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   Research Preference · leo-lilinxiao bundle

   Compare and rank candidate ML research ideas, experiment plans, or code branches before expensive evaluation. Use when the user asks which experiment to run next, which branch deserves a limited GPU or time budget, how prior runs change the choice, or what low-cost pilot would resolve a close decision. Best for two or more frozen candidates sharing a measurable objective; direct testing, ideation, literature review, and result summarization remain separate workflows.
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