Plugins
12 plugins@dotnet
Dotnet Test
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
20 skills · plugin
@auto-skiller
Qa Testing
Qa Testing from Auto-Skiller/plugboot.
3 skills · plugin
curated
Testing & Quality
Testing, TDD, code review, linting and debugging.
25 skills · plugin
@owl-listener
Prototyping Testing
Prototyping and testing skills: wireframe specs, usability heuristics, heuristic evaluations, accessibility audits, A/B test design, and benchmark analysis.
8 skills · plugin
@trailofbits
Testing Handbook Skills
Skills from the Trail of Bits Application Security Testing Handbook (appsec.guide)
15 skills · plugin
@dotnet
Dotnet Test Migration
Skills and an orchestrator agent for migrating .NET test frameworks and platforms: MSTest and xUnit version upgrades, xUnit-to-MSTest conversion, and VSTest to Microsoft.Testing.Platform.
5 skills · plugin
curated
Python Test Suite with Coverage
Develop a comprehensive Python test suite using pytest, measure coverage, and increase to 100%.
3 skills · plugin
curated
Automated E2E Test Generation
Installs a pipeline to explore a website, generate a Playwright test, and run it until passing.
10 skills · plugin
curated
Bug Fix with Regression Test
Reproduce a bug as a regression test, fix the code until green, and verify before committing.
9 skills · plugin
curated
DotNet Test Migration to MTP
Migrate .NET test projects from VSTest to MTP, updating project files, CLI, and CI/CD pipelines.
3 skills · plugin
curated
DotNet Test Quality Audit
Analyze .NET test suites for anti-patterns, maintainability issues, and assertion diversity, producing a severity-ranked report.
3 skills · plugin
curated
Refactor Code Safely
Restructure code while preserving behavior: confirm tests are green, refactor in small steps, keep tests green, review, and commit.
9 skills · plugin
Results for “test”
8 skills
k-dense-ai Statistical Analysis
Guides statistical hypothesis testing with assumption checks, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting for research data.
30.2k · bundle
k-dense-ai Hypogenic
Automates hypothesis generation and testing on tabular datasets using LLMs, combining data-driven discovery with literature integration for scientific research.
30.2k · bundle
github Autoresearch
Guides users through defining goals, metrics, and scope, then runs an autonomous loop of code changes, testing, measuring, and keeping or discarding results for any programming task with a measurable outcome.
36.2k
More results
samyakjhaveri Experiment
Orchestrates structured experiments end-to-end: initialize, plan, run, and evolve with reproducibility tracking and hypothesis validation.
0
k-dense-ai Hypothesis Generation
Formulate testable hypotheses from observations, design experiments, and generate predictions using a structured scientific method framework.
30.2k · bundle
orchestra-research Autoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experimentation and synthesis, producing papers and presentations.
10.4k · bundle
drnabeelkhan Source Checker Verify A Claim And Rate The Evidence
Verifies a claim by finding primary sources and rates the evidence as supported, mixed, unsupported, or unverifiable, with citations and what would change the verdict.
2
k-dense-ai What If Oracle
Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.
30.2k · bundle