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Microsoft's SkillOpt method boosts GPT-5.5 by 23 points with single Markdown file

By PulseAugur Editorial · [1 sources] ·

A new method called SkillOpt, developed by Microsoft and three Chinese universities, has demonstrated that a single Markdown file can significantly improve AI agent performance. When used as context during inference, this file boosted GPT-5.5's scores by an average of 23 points across six procedural benchmarks. This approach outperformed handwritten instructions, LLM-generated instructions, and four specialized training methods, suggesting a notable trend for AI agent optimization. AI

IMPACT This method suggests a simple yet effective way to enhance AI agent capabilities, potentially influencing how agents are optimized and deployed.

RANK_REASON The cluster describes a new method published in a paper by Microsoft and universities, detailing its performance on AI benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Microsoft's SkillOpt method boosts GPT-5.5 by 23 points with single Markdown file

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The cluster describes a new method published in a paper by Microsoft and universities, detailing its performance on AI benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Susilo harjo ·

    One Markdown File Made My AI Agent 23 Points Smarter

    <p>Last week I read a paper that made me re-evaluate everything I have written about AI agent optimization. Microsoft and three Chinese universities published a method called SkillOpt . The result: a single Markdown file, between 300 and 2,000 tokens, lifted GPT-5.5 by an average…

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