Browse skills

Tracks Copilot usage data (tokens, calls, etc.) to understand adoption and optimize workflows for improved productivity insights.

Metrics — provides AI agent assistance for software development workflows.

This skill integrates TensorBoard for visualizing machine learning metrics during training, aiding in model debugging and performance analysis.

Rysweet's model-evaluation-benchmark provides standardized metrics and datasets to assess and compare AI model performance objectively.

This skill assesses ML model performance across various metrics, providing insights for optimization and ensuring accurate predictions.

Automatically establishes baseline performance metrics for AI models based on historical data and industry standards.

Evaluates large language models based on custom metrics and datasets provided by the user, reporting detailed performance analysis.

This skill generates a detailed scorecard evaluating AI session performance based on key metrics, optimizing for better results and insights.

Analyzes and optimizes performance metrics from The Bearded Bears' AS (Automated Systems) deployments for improved efficiency.

Calculates common machine learning evaluation metrics (accuracy, precision, recall, F1-score) for model performance assessment.

Evaluate object detection models using fiftyone's interactive visual review and quantitative metrics for rapid iteration.

TensorPM helps you monitor and manage your TensorFlow models’ performance metrics, ensuring optimal model health and efficient deployments.