Data Science & ML Agent Skills

OpenRouter Model Routing & A/B Testing

Optimizes AI performance through advanced model routing, A/B testing, and intelligent selection strategies using the OpenRouter API.

Forecast Generator

Automates the creation of predictive models and data forecasts for business intelligence and statistical analysis.

Machine Learning Feature Engineering Toolkit

Optimizes machine learning model performance through automated feature creation, selection, and data transformation.

Computer Vision Processor

Analyzes and processes digital images using advanced object detection, classification, and segmentation techniques.

Neural Network Builder

Automates the design, configuration, and implementation of complex neural network architectures through simple natural language commands.

Pivot Table Creator

Generates complex pivot tables and data summaries for business intelligence and statistical analysis.

Model Explainability Tool

Streamlines machine learning model interpretation by providing automated guidance and code for advanced explainability techniques.

Plotly Chart Generator

Generates interactive, production-ready Plotly visualizations and data dashboards directly within your development workflow.

SageMaker Endpoint Deployer

Automates the deployment and management of Amazon SageMaker endpoints for production-grade machine learning model serving.

Data Quality Checker

Automates data validation and quality assurance within data pipelines to ensure accuracy and reliability.

Kafka Stream Processor

Streamlines the development and optimization of Kafka-based real-time data processing applications and ETL pipelines.

Model Versioning Manager

Automates machine learning model versioning and MLOps workflows to ensure consistent, reproducible deployment cycles.

Spark Job Creator

Streamlines the development and orchestration of Apache Spark jobs for high-performance data pipelines.

Funnel Analysis Builder

Builds comprehensive conversion funnels using SQL, data visualization, and statistical analysis to optimize user journeys.

MLflow Tracking Setup

Automates the configuration and implementation of MLflow experiment tracking for machine learning workflows.

Model Checkpoint Manager

Automates the implementation of robust model checkpointing strategies to ensure resilient and reproducible machine learning training workflows.

PyTorch Model Trainer

Streamlines the development of production-grade PyTorch training loops and machine learning pipelines.

Batch Inference Pipeline

Automates the creation and optimization of scalable machine learning batch inference pipelines for production workloads.

Deepgram Audio Transcription Workflow

Implements high-performance pre-recorded speech-to-text transcription using Deepgram’s Nova-2 AI model.

Gradient Clipping Helper

Implements and optimizes gradient clipping techniques to stabilize machine learning model training and prevent exploding gradients.

Dataset Loader Creator

Automates the generation of optimized, production-ready dataset loaders for machine learning frameworks like PyTorch and TensorFlow.

Groq Installation & Authentication

Automates the installation of Groq SDKs and configures API authentication for Node.js and Python projects.

Model Evaluation Metrics

Generates and implements comprehensive performance metrics and evaluation logic for machine learning models.

FastAPI ML Endpoint

Deploys machine learning models as high-performance FastAPI endpoints with production-ready configurations and MLOps patterns.

Spark SQL Optimizer

Optimizes Apache Spark SQL queries and data pipeline performance using industry-standard best practices and execution patterns.

NeMo Evaluator SDK

Benchmarks Large Language Models across 100+ standard and custom evaluation harnesses with enterprise-grade reproducibility.

Kling AI Content Policy Manager

Implements robust content policy compliance and safety moderation for Kling AI video generation workflows.

Text Sentiment Analysis

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for data-driven insights.

Kling AI Model Catalog

Explores and compares Kling AI video generation models to help users select the optimal configuration for their creative projects.

Dataset Splitter

Automates the partitioning of datasets into training, validation, and testing sets for machine learning model development.