v0.1.0

Added

• Initial release of ML Research plugin
• 12 workflow skills for ML development:
  • /ml-train - Execute training runs
  • /ml-config-manager - Generate Hydra configs
  • /ml-debug - Debug training issues
  • /ml-experiment - Manage experiments
  • /ml-validate - Validate project structure
  • /ml-profile - Profile performance
  • /ml-data-pipeline - Manage data pipelines
  • /ml-setup - Setup environment
  • /ml-project-init - Initialize projects
  • /ml-lint - Code quality checks
  • /ml-format - Format code
  • /ml-model-export - Export models
• 8 knowledge skills:
  • ml-lightning-basics - PyTorch Lightning patterns
  • ml-hydra-config - Hydra configuration
  • ml-pytorch-geometric - Graph Neural Networks
  • ml-wandb-tracking - Experiment tracking
  • ml-transformers - Hugging Face Transformers
  • ml-cli-tools - Building CLIs with Typer/Rich
  • tool-pixi - Pixi package manager
  • tool-marimo - Marimo reactive notebooks
• 6 specialized agents:
  • ml-architect - Design ML architectures
  • training-debugger - Diagnose training issues
  • config-generator - Generate Hydra configs
  • pytorch-expert - PyTorch optimization
  • geometric-specialist - Graph Neural Networks
  • transformers-specialist - LLM fine-tuning
• Comprehensive documentation in CLAUDE.md
• GitHub Actions CI/CD workflows
• Pre-commit hooks for code quality
• Plugin marketplace integration

Documentation

• Detailed CLAUDE.md with architecture overview
• Git workflow and commit conventions
• Frontmatter reference for skills and agents
• Common patterns and pitfalls guide