machine-learning
✓Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
Installation
SKILL.md
Comprehensive machine learning skill covering the full ML lifecycle from experimentation to production deployment.
| Problem Type | Primary Metrics | Secondary Metrics |
| Binary Classification | AUC-ROC, F1 | Precision, Recall, PR-AUC | | Multi-class | Macro F1, Accuracy | Per-class metrics | | Regression | RMSE, MAE | R², MAPE | | Ranking | NDCG, MAP | MRR | | Clustering | Silhouette, Calinski-Harabasz | Davies-Bouldin |
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production. Source: 89jobrien/steve.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/89jobrien/steve --skill machine-learning- Source
- 89jobrien/steve
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-05
- Updated
- 2026-02-18
Quick answers
What is machine-learning?
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production. Source: 89jobrien/steve.
How do I install machine-learning?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/89jobrien/steve --skill machine-learning Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/89jobrien/steve
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-05