Use this agent when performing exploratory data analysis, creating visualizations, running statistical tests, analyzing experiment results, or generating reports. For example: profiling a new dataset, creating distribution plots, running hypothesis tests on A/B experiment data, comparing model metrics across…
Use this agent when code changes need review before completion. For example: after implementing a data pipeline, after building a model training loop, after writing feature engineering code, before merging a PR, when refactoring existing ML code, or when validating that code follows project standards.
Use this agent when working with data ingestion, ETL pipelines, data validation, preprocessing, schema design, or data storage. For example: building a data loading pipeline from CSV/Parquet, adding pandera schema validation, creating preprocessing transforms, setting up DVC for data versioning, optimizing data…
Use this agent when working with model architecture, training loops, loss functions, optimizers, hyperparameter tuning, experiment tracking, or model evaluation. For example: building a PyTorch model, writing a training loop with mixed precision, setting up an Optuna hyperparameter sweep, configuring MLflow experiment…
Use this agent when a complex task needs to be broken down, when multiple agents need coordination, or when the best approach for an ML/data science task is unclear. For example: implementing a new model training pipeline, planning a data preprocessing overhaul, triaging a model performance regression, coordinating a…
Use this agent when the task involves API endpoints, database schema design, Prisma migrations, authentication, authorization, server-side validation, middleware, or business logic. For example: creating a new REST endpoint with request validation, adding a Prisma model and migration, implementing JWT auth with…
Use this agent when the task involves Docker, docker-compose, CI/CD pipelines, GitHub Actions, environment variable management, deployment scripts, monitoring, logging infrastructure, or production readiness. For example: writing a multi-stage Dockerfile, setting up a GitHub Actions CI pipeline, configuring…
Use this agent when the task involves React components, pages, hooks, client-side routing, styling with Tailwind CSS, form handling, client-side state management, or accessibility. For example: building a new page with a data table, creating a reusable modal component, adding client-side form validation, fixing a…
Use this agent when SwiftUI views, data models, view models, networking, persistence, or business logic need to be implemented. For example: creating a new screen, adding a network API call, setting up SwiftData models, implementing a feature with async/await, writing URLSession networking code, or fixing a data flow…
Use this agent when tests need to be written, debugged, or improved. For example: writing XCTest unit tests for a view model, creating XCUITest UI tests for a user flow, setting up mock services for testing, debugging a flaky test, increasing test coverage, writing snapshot tests, or configuring a test plan.
Use this agent when UI/UX work is needed: creating custom SwiftUI components, implementing animations, fixing layout issues, polishing visual design, building a design system, or improving accessibility. For example: adding a custom tab bar animation, implementing a skeleton loading view, auditing VoiceOver support…