About this skill
Provides Explainable AI (XAI) tools to interpret machine learning models. Use when the user asks to visualize feature importance for tree-based models, needs to explain which features drive model decisions, wants to render or draw a decision tree diagram, or needs to convert a Graphviz DOT string into a matplotlib figure in a Python data science project using sklearn-compatible models.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 17c638dadcad94445ec35a30cac8f0aabcd9de7f5541d10d4690f82910406840
About this listing
- Category
- Data & analytics
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.