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
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
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 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 “t-test”
8 skills
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
mukul975 Testing For System Prompt Leakage
Test LLM applications for system prompt leakage using manual payloads, garak, and Promptfoo to extract embedded secrets and routing logic.
24.6k · bundle
orchestra-research Langsmith Observability
Debug, evaluate, and monitor LLM applications with tracing, datasets, and built-in evaluators.
10.4k · bundle
More results
anthropic Skill Creator
Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.
158k · bundle
mocchalera Evaluate Edit
Runs regression evaluations comparing agent edits against human-approved golden projects, and registers new goldens after human approval.
3
deep-chavda AI Engineering Standards
Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.
github AI Prompt Engineering Safety Review
Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.
36.2k
pwdev-solucoes Visual Consistency
Mantém a coerência visual entre peças geradas por IA usando modelo fixo, prompt base, seed e referência de estilo, com teste de coerência e biblioteca de prompts.
2