Analyzes Move language packages against the official Move Book Code Quality Checklist. Use this skill when reviewing Move code, checking Move 2024 Edition compliance, or analyzing Move packages for best practices. Activates automatically when working with .move files or Move.toml manifests.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
1NickPappas__move-code-quality-skill/skill.mdProven benefits and measurable impact
Access pre-processed datasets reducing data preparation time significantly
Use scaffold splits ensuring models generalize to novel chemistries
AI-ready datasets minimize experimental trial failures in drug discovery
Perfect for these scenarios
Predict absorption, distribution, metabolism, and excretion for new drug candidates
Identify potential toxic effects early in drug development to reduce failures
Model molecular interactions between compounds and biological targets
Compare model performance on standardized therapeutic datasets