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Microsoft SkillOpt: Auto-Improving AI Agent Skills Docs Without Retraining (41% → 80%)

AI Explained◆ Intermediate@parthknowsaisaved JUN 16

◇ Could this help me?

Yes: The manual version of SkillOpt is exactly what good Claude Code practitioners already do, iterate on CLAUDE.md after each session. The paper validates this approach scientifically. The 1-4 targeted edits per session finding is directly actionable.

✦ Walkthrough+10 xp / step

Conceptual research paper, not directly implementable yet as a consumer tool. Key insight to apply now:
Treat your Claude system prompt / CLAUDE.md as a living skills doc, not a set-it-and-forget-it file.
After each session where Claude made mistakes, identify which instruction was missing or vague.
Make 1–4 targeted edits (add a rule, sharpen a vague instruction, remove a bad one).
Observe whether next session's output is better: keep changes that help, revert ones that don't.

0 / 5 steps · adopt for +40

$ suggested_prompt+40xp

After each Claude Code session, review what went wrong or suboptimally. Identify 1–4 specific instructions to add, sharpen, or remove from your CLAUDE.md. Treat it as your agent's skills doc that you continuously refine.

Microsoft SkillOpt: Auto-Improving AI Agent Skills Docs Without Retraining (41% → 80%)

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