mlflow-python
✓MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs.
Installation
SKILL.md
Unified read/write MLflow operations via Python API with QuantStats integration for comprehensive trading metrics.
Note: This skill uses Pandas (MLflow API requires it). The mlflow-python path is auto-skipped by the Polars preference hook.
MLflow uses separate environment variables for credentials (NOT embedded in URI):
MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs. Source: terrylica/cc-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/terrylica/cc-skills --skill mlflow-python- Source
- terrylica/cc-skills
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-04
- Updated
- 2026-02-18
Quick answers
What is mlflow-python?
MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs. Source: terrylica/cc-skills.
How do I install mlflow-python?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill mlflow-python 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/terrylica/cc-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-04