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

CONTRIBUTING.md

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+# Contributing to SkillOpt
+
+Thank you for your interest in contributing! SkillOpt welcomes contributions of all kinds.
+
+## Getting Started
+
+```bash
+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](docs/guide/new-benchmark.md) and use the scaffold at `skillopt/envs/_template/`.
+
+### 🤖 Add a Model Backend
+See the [guide](docs/guide/new-backend.md).
+
+### 📝 Improve Documentation
+```bash
+pip install -e ".[docs]"
+mkdocs serve   # Preview at http://localhost:8000
+```
+
+## Pull Request Process
+
+1. Fork the repo and create a feature branch
+2. Make changes and test with an existing benchmark
+3. Submit a PR with a clear description
+4. 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](LICENSE).