Testing & QA

Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests when writing features, fixing bugs, or refactoring code.

Consolidates 89 high-integrity SOPs for the Full department of the Galyarder Framework, covering adapter creation, execution protocols, and multi-agent hygiene.

Resolves legacy references to the tdd-guide capability by routing to the current runtime's equivalent agent, plugin, or skill.

Guides the creation, editing, and verification of agent skills using a test-driven development approach, with structured documentation and quality gates.

Defines a structured eval-driven development workflow with define, implement, and verify phases, including capability, behavior, and non-functional checks, plus optional swarm mode for parallel evaluation.

Implementa state management avanzado con BLoC y Cubit en Flutter, incluyendo persistencia con Hydrated BLoC, replay de estados, transformers para control de eventos y testing exhaustivo.

Provides a Flutter testing strategy covering unit, widget, integration, and BLoC tests with code examples, dependencies, and coverage commands.

Guides systematic debugging by investigating root causes before proposing fixes, with structured phases for analysis, hypothesis testing, and implementation.

Runs a QA validation cycle followed by bugfix until all criteria pass clean, with automated verification and re-validation.

Designs and executes load tests, covering scenario design, baseline capture, execution configuration, results analysis, and reporting for k6, Locust, Gatling, and JMeter.

Monitors and analyzes Qase test management projects, test cases, runs, and defects via the Qase API, with a discovery-first workflow to avoid assumptions.

Defines quality standards and validation checklists for agent workflows, Python tools, and documentation, including automated checks and pre-commit gates.

Runs throwaway experiments to validate feasibility before building, producing a verdict with evidence.

Systematically adds unit test coverage to existing source files in any project, tracking progress across sessions via scan, plan, and write modes.

Guides test-first development with vertical slices, one test at a time, and refactoring after green.

Compare AI-generated UI variants in a running local app, then keep the chosen option and remove temporary code.

Provides guidance and best practices for writing idiomatic Ruby code, covering metaprogramming, Rails patterns, gem development, performance optimization, and testing with RSpec and Minitest.

Provides expert guidance on modern Rust 1.75+ development, covering async patterns, advanced type system features, and production-ready systems programming.

Provides expert guidance for writing idiomatic Ruby code, covering metaprogramming, Rails patterns, gem development, performance optimization, and testing with RSpec and Minitest.

Turns a brief product idea into working, verified code by orchestrating requirements analysis, planning, parallel implementation, QA, and multi-perspective validation.

Provides expert guidance on modern Julia 1.10+ development, covering performance optimization, multiple dispatch, testing, and production-ready practices.

Write, review, debug, test, or optimize pandas Series, DataFrame, Index, groupby, merge, reshape, dtype, missing-value, and time-series code.

Design, review, debug, and test Python static types including Protocol, generics, variance, overloads, TypedDict, ParamSpec, TypeGuard, and narrowing.

Write, review, debug, and test Python FastAPI applications with path operations, dependencies, Pydantic models, lifespan, middleware, background tasks, exception handling, and ASGI tests.

Create, review, debug, test, or reproduce Python Jupyter notebooks by inspecting format, executing cells top-to-bottom in a clean kernel, and verifying outputs.

Produces NetworkX code with explicit graph kind, node identity, edge multiplicity, direction, attribute schema, weight semantics, and algorithm preconditions, including testing.

Write, review, debug, test, or optimize Python code using the rustworkx graph library, with explicit handling of graph kind, index lifecycle, payload semantics, and algorithm result mapping.

Creates, reviews, debugs, and modernizes Python project structure with deterministic tooling including pyproject.toml, uv, Ruff, Pyright, and pytest.

Write and run Perl tests using Test2::V0, Test::More, prove, mocking, and coverage analysis with Devel::Cover, following a TDD workflow.

Delivers changes incrementally by building in thin vertical slices, testing and verifying each piece before moving to the next.

Write tests before implementation code for new features, bug fixes, and refactoring, following the red-green-refactor cycle.

Automatically detects project state and runs an 8-phase pipeline to plan, build, test, lint, fix bugs, and document code across multiple AI coding agents.

Searches for existing content pages containing a specific block in AEM Edge Delivery Services, reporting URLs with occurrences and variants to help identify test content during development.

Write effective unit tests with NUnit, covering standard and data-driven testing approaches.

Generates comprehensive test strategies, task breakdowns, and quality assurance documentation for GitHub projects using ISTQB and ISO 25010 frameworks.

Generates a Playwright test from a user-provided scenario by recording browser interactions via Playwright MCP, then saves and runs the test until it passes.