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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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- Ralphinho Rfc PipelineRFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.Votes: 0GitHub stars: 3
- Python TestingPython testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.Votes: 0GitHub stars: 3
- Perl TestingPerl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.Votes: 0GitHub stars: 3
- Orch Build MvpOrchestrate bootstrapping a working MVP from a design or spec document — ingest the doc, plan thin vertical slices, scaffold the first end-to-end slice, then TDD-implement, review, and gated commit. Use to turn an SDD/PRD into a running starting point.Votes: 0GitHub stars: 3
- Mle WorkflowProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.Votes: 0GitHub stars: 3
- Loop Design CheckDesign a goal-oriented agent loop, and review it for the ways loops go wrong — spinning and burning tokens, Goodhart-gaming the verifier, or running a wrong answer to completion. Two actions: (1) WRITE a loop — gate whether to build it, define a machine-decidable goal, pick the loop type, pick a skeleton; (2) REVIEW a loop — run it past five failure modes plus decidability, boundaries, fallback, judge independence, and keep-judgment-with-the-human red lines. Use when designing an autonomous a...Votes: 0GitHub stars: 3
- Latency Critical SystemsUse for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.Votes: 0GitHub stars: 3
- Kotlin Ktor PatternsKtor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.Votes: 0GitHub stars: 3
- Java Coding StandardsJava coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions.Votes: 0GitHub stars: 3
- Hexagonal ArchitectureDesign, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.Votes: 0GitHub stars: 3
- Healthcare Eval HarnessPatient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.Votes: 0GitHub stars: 3
- Golang TestingGo testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.Votes: 0GitHub stars: 3
- Gan EvaluatorGAN Harness — Evaluator agent. Tests the live running application via Playwright, scores against rubric, and provides actionable feedback to the Generator.Votes: 0GitHub stars: 3
- Fsharp TestingF# testing patterns with xUnit, FsUnit, Unquote, FsCheck property-based testing, integration tests, and test organization best practices.Votes: 0GitHub stars: 3
- E2e TestingPlaywright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.Votes: 0GitHub stars: 3
- E2e RunnerEnd-to-end testing specialist using Vercel Agent Browser (preferred) with Playwright fallback. Use PROACTIVELY for generating, maintaining, and running E2E tests. Manages test journeys, quarantines flaky tests, uploads artifacts (screenshots, videos, traces), and ensures critical user flows work.Votes: 0GitHub stars: 3
- Csharp TestingC# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.Votes: 0GitHub stars: 3
- Ai Regression TestingAI辅助开发的回归测试策略。沙盒模式API测试，无需依赖数据库，自动化的缺陷检查工作流程，以及捕捉AI盲点的模式，其中同一模型编写和审查代码。Votes: 0GitHub stars: 3
- Quarkus VerificationQuarkusプロジェクト検証ループ：ビルド、静的分析、カバレッジ付きテスト、セキュリティスキャン、ネイティブコンパイル、本番環境またはPR前の差分レビュー。Votes: 0GitHub stars: 3
- Ai Regression TestingAI 支援開発のためのリグレッションテスト戦略。データベース依存なしのサンドボックスモード API テスト、自動化されたバグチェックワークフロー、同じモデルがコードを書いてレビューする AI のブラインドスポットを捕捉するパターン。Votes: 0GitHub stars: 3
- Microsoft Skills .Github Plugins Azure Sdk Python Skills Azure Cosmos Db PyBuild Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".Votes: 0GitHub stars: 3
- Tpc 268 EvalEvaluates class-agnostic counting (CAC) capabilities on fine-grained, taxonomically diverse plant species under few-shot exemplar guidance. It probes models' ability to handle dense occlusion, multi-scale observation, and cross-domain generalization from generic objects to biological imagery. Use when the user wants to benchmark on TPC–268, or asks about evaluating this task. Reports MAE.Votes: 0GitHub stars: 3
- Total LatencyMeasures the end-to-end serving latency of an LLM inference system deployed over heterogeneous edge networks using speculative decoding. It probes how well pipeline parallelism, adaptive batching, and wireless resource allocation reduce total time-to-output compared to sequential or fixed-strategy baselines. Use when the user has predictions and gold and needs to compute total latency.Votes: 0GitHub stars: 3
- Tabfact EvalTests a model's ability to verify the truthfulness of a factual statement given a table. It probes structured reasoning capabilities by requiring the model to cross-reference table contents with a claim and output a binary label. Use when the user wants to benchmark on TabFact, or asks about evaluating this task. Reports binary classification accuracy.Votes: 0GitHub stars: 3