- Bumped version in plugin.json and pyproject.toml to 2.66.0.
- Updated skill metadata versions across multiple skills, reflecting improvements and new features.
- Added citation guidelines to various skill documentation to ensure proper referencing of the "Scientific Agent Skills" paper.
- Enhanced the skill description for clarity and accuracy regarding GPU acceleration.
- Updated compatibility notes to reflect requirements for RAPIDS 26.06 and Python 3.11+.
- Revised the library selection guidance to emphasize preferred usage patterns and legacy considerations.
- Improved the optimization workflow section with detailed steps for defining contracts and checking suitability.
- Added new code transformation patterns and clarified the use of cuSpatial and cuVS.
- Updated the cuCIM reference to include installation instructions and performance characteristics.
- Replaced the existing optimize-for-gpu.png image with a new version to better illustrate the skill's capabilities.
- Enhanced AGENTS.md to clarify skill scope and directory structure, providing clearer guidelines for skill creation and updates.
- Updated CONTRIBUTING.md to emphasize the separation of tests from skill directories, ensuring better organization and clarity for contributors.
- Revised .gitignore to include .pytest_cache, improving project cleanliness.
- Adjusted pyproject.toml to configure pytest for better test path management.
- Incremented version number in SKILL.md for autoskill to reflect recent updates.
- Revised the metadata format in multiple SKILL.md files to use block mapping instead of single-line JSON, enhancing YAML compatibility.
- Added a new entry for local agent tooling in .gitignore to exclude the .claude directory, improving project cleanliness.
- Removed outdated entries for AGENTS.md and CLAUDE.md from .gitignore, streamlining ignored files.
