Individual skill
autoresearch
Run Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on "optimize this page", "run autoresearch", "score these variants", "A/B test this copy".
autoresearch/SKILL.md
Source commit 8e65c233e9785f7ba455c7b736fc39d40ca45606
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- Yes
- Scanner rules are current
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,806
- Repository last updated
- Nov 10, 2026
- License
- MIT
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Browse files
README.mddoc · 4,384 bytesSKILL.mdcore · 8,794 bytesSKILL.mdcore · 8,794 bytesSKILL.mdcore · 8,794 bytesSKILL.mdcore · 8,794 bytesSKILL.mdcore · 8,794 bytesautoresearch.pyruns · 16,825 bytesrequirements.txtdoc · 18 bytes
Read excerpt
# Autoresearch Skill
Karpathy-style optimization loops for any conversion-focused content. No traffic needed. Simulated expert panel. Minutes, not weeks.
**When to use this:** Pre-launch content optimization. Generate 50+ variants, score with 5 simulated experts, evolve winners, output the best version + full experiment log.
**When NOT to use this:** Post-launch real-traffic A/B testing — that requires real analytics, not simulated scoring.
> **The sequence:** Run autoresearch FIRST to hit 85+ simulated score. Then deploy. Then validate with real traffic.
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## What You'll Produce