SkillOpt

# SkillOpt: Executive Strategy for Self-Evolving Agent Skills

*Train agent skills like you train neural networks — with epochs, (mini-)batchsize, learning rates, and validation gates — but without touching model weights.*

[![Project Page](https://img.shields.io/badge/Project%20Page-SkillOpt-8dbb3c)](https://microsoft.github.io/SkillOpt/) [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b)](https://arxiv.org/abs/2605.23904) [![Project Video](https://img.shields.io/badge/Project%20Video-Watch%20Demo-ff0000)](https://youtu.be/JUBMDTCiM0M) [![PyPI](https://img.shields.io/badge/PyPI-skillopt-green.svg)](https://pypi.org/project/skillopt/) [![Python 3.10+](https://img.shields.io/badge/Python-3.10%2B-blue.svg)](https://www.python.org/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

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> 📖 **For installation, data preparation, training/eval commands, configuration, and framework internals, start with the versioned [SkillOpt documentation](https://github.com/microsoft/SkillOpt/blob/main/docs/index.md). A concise rendered overview is available in the [Documentation & Reproduction Guide](https://microsoft.github.io/SkillOpt/docs/guideline.html), and longer-form engineering analysis appears on the [Technical Blog](https://microsoft.github.io/SkillOpt/blog/). We also maintain a [Changelog](CHANGELOG.md) for released and unreleased changes.**

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## News 🔥🔥🔥
- **[2026-11]** 🎤 **SkillOpt is accepted to NeurIPS 2026 as a Spotlight!** See you in Sydney!
- **[2026-11]** 🏆 **SkillOpt won 1st Place in the Executive Challenge at the Microsoft Global Hackathon 2026** ([badge](https://www.credly.com/badges/d9fd6cd8-e310-4e9b-9f63-ed7a3383fc85/public_url), issued by The Microsoft Garage).
- **[2026-07-24]** 📰 **SkillOpt in the news.** Read the official [Microsoft Research feature](https://www.microsoft.com/en-us/research/blog/skillopt-agent-skills-as-trainable-parameters/), along with recent coverage from [VentureBeat](https://venturebeat.c