Testing & QA

Unit tests, integration tests, E2E, QA, validation, and test automation

skills in category: 31,182
pages available: 1,300

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Showing 4,201–4,224 of 31,182 skills

Connectomics ScientistAExpert-thinking profile for Connectomics Scientist (computational / volume EM connectomics + collaborative proofreading): Reasons from vEM acquisition and petascale alignment through FFN/RoboEM segmentation, FlyWire/neuPrint/MICrONS/H01 graphs, and synapse-level QC while treating split/merge errors, alignment tears, false synapses, and release-version drift as first-class failure modes.testingpythonrustVotes: 0GitHub stars: 8
Complexa SetupBFirst-time setup, environment configuration, and model-weight installation for Proteina-Complexa. Reach for this skill whenever the user says "set up complexa", "install complexa", "configure my environment file", "first-time setup", "what models do I have installed", "what's in my environment file", "download model weights", "download Complexa / AF2 / RF3 / ProteinMPNN / LigandMPNN / ESM2 / ESMFold checkpoints", "preflight my GPU", "verify environment", "complexa init", "complexa download", ...testingpythongoVotes: 0GitHub stars: 8
ClimatologistAExpert-thinking profile for Climatologist (computational / observational climatology & paleoclimate reconstruction): Characterizes climate via WMO CLINO baselines (1991–2020 vs 1961–1990), ETCCDI indices, and teleconnection modes; bridges ERA5 climatology to CMIP6/ScenarioMIP SSP deltas (xsdba/QDM), optimal-fingerprint attribution, AR6 ERF/ECS/TCR, and proxy reconstructions (CPS/EIV, PAGES2k, MXD divergence)—distinct from weather...testingpythonrustVotes: 0GitHub stars: 8
Ci Cd And AutomationAAutomates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.testingtypescriptgoVotes: 0GitHub stars: 8
Ceramics EngineerAExpert-thinking profile for Ceramics Engineer (processing / sintering / microstructure / electroceramics / mechanical reliability (Weibull, ASTM C-series)): Reasons from crystal chemistry, defect equilibria, sintering densification, and flaw statistics through XRD/Rietveld, dilatometry, SEM fractography, impedance spectroscopy, and Weibull analysis per ASTM C1161/C1239/C1421 while treating surface grinding flaws, Pb/alkali volatilization, closed-pore traps, and...testingrustgoVotes: 0GitHub stars: 8
Cavekit Validation FirstAValidation-first design for Cavekit — every kit requirement must be automatically verifiable. Six-gate validation pipeline, phase gates, merge protocol, completion signals, acceptance criteria patterns. Use when designing acceptance criteria, wiring CI gates, or debugging why an agent is producing output that nobody can verify.testingbashdebuggingVotes: 0GitHub stars: 8
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Cavekit RevisionATrace bugs and manual fixes back to kits and prompts; fix at the source so the iteration loop can reproduce the fix autonomously. Six-step revision process plus the single-failure backpropagation protocol. Use when a manual hot-fix has been applied, when convergence stalls, or when the same class of bug keeps reappearing.testinggobashVotes: 0GitHub stars: 8
Bridge EngineerAExpert-thinking profile for Bridge Engineer (structural design / load rating / inspection-NDE / codes (AASHTO LRFD, AREMA) / fatigue-fracture): Reasons from load paths, limit states, redundancy, and durability through AASHTO LRFD rating (LRFR/inventory vs. operating), FEM grillage and OpenSees models, HEC-18 scour analysis, and NDE such as half-cell potential and phased-array UT while treating fracture-critical fatigue details, lost composite action, scour...testingrustgoVotes: 0GitHub stars: 8
Bioprocess EngineerAExpert-thinking profile for Bioprocess Engineer (wet-lab / integrated biologics USP–DSP, scale-up & GMP validation): Reasons from QTPP–CPP–CQA QbD, CHO fed- batch/perfusion scale-up (P/V, kLa, mixing), platform mAb DSP (Protein A, low-pH viral hold, IEX polish, UF/DF), tech transfer and PPQ lifecycle; treats transport-limited scale-up, harvest fouling, on-column aggregation, SUB leachables, and arbitrary three- batch PPQ as...testinggoreactVotes: 0GitHub stars: 8
AtherisBSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.testingpythonrustVotes: 0GitHub stars: 8
Astronautical EngineerAExpert-thinking profile for Astronautical Engineer (spacecraft / launch vehicle / mission systems engineering): Reasons from the rocket equation, staging, and mass–power–Δv budgets through NPR 7120.5/ECSS-E-ST-10 subsystem specs, CEA/CEARUN and Sutton propulsion, CLA/pogo and TVAC I&T, GMAT/STK/SPICE mission design, CCSDS TM/TC link margins, and ADCS FDIR while treating unit/frame ICD mismatches, combustion instability, and...testingrustgoVotes: 0GitHub stars: 8
Assertion QualityAAnalyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow tests, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / toBeTruthy()), flag self-referential or tautological assertions, measure assertion diversity, or audit whether tests verify different facets of behavior. Polyglot: .NET, Python, TS/JS, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, C++. DO NOT USE FO...testingtypescriptpythonVotes: 0GitHub stars: 8
Animal Geneticist BreederAExpert-thinking profile for Animal Geneticist & Breeder (quantitative genetics / BLUP- REML / genomic selection / crossbreeding systems / mate allocation): Reasons from additive genetic variance, response to selection (R = i h sigma_A), accuracy, and inbreeding depression through REML/BLUP and ssGBLUP pipelines (BLUPF90, ASReml, WOMBAT), economic selection indices, optimum-contribution mate allocation, and Interbull MACE while treating confounded contemporary groups...testingrustgoVotes: 0GitHub stars: 8
Alerting IrmAConfigure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook), notification policies with hierarchical matchers, silences, mute timings, on-call schedules and escalation chains, incident-management integrations, and SLOs with multi-window burn-rate alerts. Use when configuring alerts, debugging notification routing, setting up on-call rotations, declaring or m...testinggobashVotes: 0GitHub stars: 8
Adding Dbt Unit TestACreates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.testingpythonshellVotes: 0GitHub stars: 8
Unknown Class Residual ProbabilityAEstimate out-of-distribution class probability as the product of (1 - p_i) across all known classes, scaled by a calibrated priortestingpythonVotes: 0GitHub stars: 61
Tweedie Objective Zero InflatedAUse LightGBM's tweedie objective with variance_power between 1.05 and 1.2 for zero-inflated count forecasting (retail SKUs, intermittent demand, click events) — handles the "many zeros plus a heavy right tail" distribution that breaks both regression (RMSE) and classification (BCE) objectivestestingpythongoVotes: 0GitHub stars: 61
Quantile Ratio ScalingAConvert point forecasts to prediction intervals by scaling with logit-transformed quantile ratios passed through a Normal CDFtestingpythongitVotes: 0GitHub stars: 61
Poisson Lgbm Bias Corrected EnsembleATrain a single Poisson LightGBM count forecaster, then ensemble its predictions with multiple multiplicative scaling factors (alpha ≈ 1.02-1.03) to undo the systematic downward bias of Poisson regression on intermittent retail datatestingpythonVotes: 0GitHub stars: 61
Row Wise Target NormalizationANormalizes each sample's multi-output target vector to zero mean and unit variance, removing per-sample scale differences before training.testingpythonVotes: 0GitHub stars: 61
Regression To Ordinal ThresholdingAConverts regression predictions to ordinal classes by optimizing bin thresholds to maximize Quadratic Weighted Kappa.testingpythongoVotes: 0GitHub stars: 61
Regression To Cdf SmoothingAConvert a scalar regression prediction into a smoothed CDF over discrete bins using a linear ramp instead of a hard steptestingpythonVotes: 0GitHub stars: 61
Rank Calibrated BlendingABlends predictions from multiple models by converting to ranks, weighting, and calibrating back to probabilities via rank-group means from a reference model. Ensures monotonic calibrated output.testingpythongitVotes: 0GitHub stars: 61
Per Target Nan Mask TrainingATrains independent models per target by masking NaN labels, enabling multi-output regression on datasets where each target has different coverage.testingpythonVotes: 0GitHub stars: 61