Testing skills

This skill guides you through creating your first Flutter project, editing main.dart, and running it across platforms for rapid learning.

This skill validates Dockerfiles and Compose files for correctness, security, and best-practice compliance, guiding fixes and CI/CD integration.

This skill helps you design and implement Dagster assets, resources, schedules, and tests using best practices to improve data quality.

This skill helps you validate ideas quickly with pretotyping and prototyping methods, guiding fidelity, experiments, and decisions before building.

This skill helps engineers design and run robust Python automation with structured logging, safety checks, and reproducible workflows.

This skill facilitates chef's-choice exploration by generating and evaluating multiple architectural variants in parallel to identify the best approach.

This skill helps you design efficient experiments to identify key factors and optimize performance with minimal runs.

This skill provides structured scaffolds for planning tests, data exploration, and modeling to guide technical work systematically.

This skill guides you through causal inference and root cause analysis to distinguish correlation from causation and validate interventions.

This skill accelerates code generation with hosted LLMs, delivering multi-file implementations and surgical fixes to speed-run pipelines.

This skill guides you through a collaborative symmetry discovery process to identify invariances and transform your data efficiently.

This skill helps you produce clear, comprehensive documentation for README, API, architecture, and user guides with precise technical accuracy.

This skill guides creating new CSS components with semantic naming, Tailwind @apply composition, dark mode, and test coverage.

This skill helps you stress-test designs by challenging assumptions and surfacing edge cases without providing solutions.

This skill transforms vague prompts into structured, constraint-aware prompts with role definition, task decomposition, and automatic quality checks for

This skill helps identify and eliminate technical debt by auditing code for smells, dead code, and unused imports, improving maintainability.

This skill guides plan-first development with review gates, enabling disciplined feature work, iterative implementation, and clean commits.

This skill helps you move from design to implementation by orchestrating parallel cookoff plans or single-subagent execution.

This skill helps you uncover blind spots and harden plans by structured adversarial review and red teaming before launch.

This skill designs neural network architectures that respect validated symmetry groups, delivering efficient, robust models with improved generalization.

This skill guides you in defining a North Star, decomposing metrics, and prioritizing experiments to drive measurable product outcomes.