Results for “creative-testing”

Write effective unit tests with best practices for any project. Use when writing tests, creating test cases, improving test coverage, increasing confidence before release, or when the user mentions testing. Mutation score / assertion theater → test-mutation.

Guides test-first development with vertical slices, writing one behavior test at a time and refactoring only when green.

Designs an A/B test or experiment with clear hypothesis, variants, success metrics, sample size, and duration. Use when planning experiments to validate product changes or test hypotheses.

Generate tests, design test strategies, and ensure code quality through testing. Use when writing tests, improving test coverage, designing test infrastructure, or evaluating test quality.

Generate project ideas through creative constraints. Use when the user says 'I want to build something', 'give me a project idea', 'I'm bored', 'what should I make', 'inspire me', or any variant of 'I have tools but no direction'. Works for code, art, hardware, writing, tools, and anything that can be made.

Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.

Generate project ideas via creative constraints.

Test generation is repetitive but critical. Developers skip tests because writing edge cases is tedious. AI agents can generate tests quickly but often produce brittle, unrealistic tests that provide false confidence. Tests that mock internals, use fake data like "foo@example.com", or test implementation details break on every refactor.

Craft messages that are understood, remembered, and drive action using the SUCCESs framework (Simple, Unexpected, Concrete, Credible, Emotional, Stories).

Throwaway experiments to validate an idea before build.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Test-Driven Development (TDD)

Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Run a structured 5-day process to prototype, test, and validate product ideas with real users. Covers mapping, sketching, deciding, prototyping, and testing across Monday-Friday.

Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)

A/B test design and experiment planning for paid advertising. Structured hypothesis framework, statistical significance calculator, test duration estimator, sample size calculator, and platform-specific experiment setup guides (Meta Experiments, Google Experiments, LinkedIn A/B). Use when user says A/B test, split test, experiment design, test hypothesis, statistical significance, sample size, or test duration.

Mine winning ad angles, hooks, and creative patterns from top-performing ads

Test Craft

Runs throwaway experiments to validate feasibility, compare approaches, and surface unknowns before committing to a real build.