ml-model-retrainer
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
npx skills add majiayu000/claude-skill-registry --skill ml-model-retrainer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ML Model Retrainer for Construction ## Overview Automated pipeline for keeping construction ML models up-to-date. Monitor for data drift, trigger retraining when needed, validate performance, and manage model versions. ## Business Case ML models degrade over time as: - Market conditions change (material prices, labor rates) - New construction methods emerge - Project complexity evolves - Regional factors shift Continuous retraining ensures predictions remain accurate. ## Technical Implementation ```python from dataclasses import dataclass, field from typing import List, Dict, Any, Optional, Callable from datetime import datetime, timedelta import pandas as pd import numpy as np from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score from sklearn.model_selection import cross_val_score import pickle import hashlib import json import os @dataclass class ModelVersion: version_id: str model_name: str created_at: datetime training_samples: int metrics: Dict[str, float] feature_columns: List[str] hyperparameters: Dict[str, Any] data_hash: str is_active: bool = False @dataclass class DriftReport: checked_at: datetime data_drift_detected: bool performance_drift_detec
- Overview
- Business Case
- Technical Implementation
- Quick Start
- Dependencies
pip install pandas numpy scikit-learn
What does the ml-model-retrainer skill do?
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ml-model-retrainer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.