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CharlesYang030 244e346b83 SkillOpt v0.1.0: initial release

- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends

2026-05-21 17:22:04 +00:00

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Contributing to SkillOpt

Thank you for your interest in contributing! SkillOpt welcomes contributions of all kinds.

Getting Started

git clone https://github.com/microsoft/SkillOpt.git
cd SkillOpt
pip install -e ".[dev]"

How to Contribute

🐛 Bug Reports

Open a GitHub issue with reproduction steps, expected/actual behavior, and your config file (remove API keys).

🔧 Add a Benchmark

See the guide and use the scaffold at skillopt/envs/_template/.

🤖 Add a Model Backend

See the guide.

📝 Improve Documentation

pip install -e ".[docs]"
mkdocs serve   # Preview at http://localhost:8000

Pull Request Process

Fork the repo and create a feature branch
Make changes and test with an existing benchmark
Submit a PR with a clear description
Ensure CI passes

Code Style

Follow existing patterns in the codebase
Use type hints for function signatures
Keep docstrings concise

License

By contributing, you agree your contributions are licensed under the MIT License.

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