Packs
12 packs@auto-skiller
Qa Testing
Qa Testing from Auto-Skiller/plugboot.
3 skills · pack
curated
Testing & Quality
Testing, TDD, code review, linting and debugging.
25 skills · pack
@trailofbits
Testing Handbook Skills
Skills from the Trail of Bits Application Security Testing Handbook (appsec.guide)
15 skills · pack
@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 · pack
@adobe
App Builder
Development, customization, testing, and deployment skills for Adobe App Builder projects
6 skills · pack
@atc-net
Dotnet
C#/.NET development skills including refactoring, testing, async patterns, documentation, and NuGet management
7 skills · pack
@cjthompson
Python Development
Deep Python production guidance for testing, project tooling, concurrency, and type-system work.
6 skills · pack
@cjthompson
Typescript Development
Deep TypeScript production guidance for testing, tooling, modules, packaging, and type-system work.
6 skills · pack
@phuryn
Product Discovery
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
13 skills · pack
@owl-listener
Design Research
User research skills for designers: personas, empathy maps, journey maps, interview scripts, usability testing, and card sorting.
12 skills · pack
curated
Coauthor Technical Document
Install this pack to collaboratively write a technical spec or RFC with context gathering, iterative refinement, and reader testing.
3 skills · pack
@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 · pack
Results for “testing”
10 skillsjulia-pro
Provides expert guidance on modern Julia 1.10+ development, covering performance optimization, multiple dispatch, tooling, testing, and production-ready practices.
42.4k
tao-port-huggingface-model
Integrate a HuggingFace computer vision model into the NVIDIA TAO Toolkit ecosystem, covering the full pipeline from prerequisites to container testing.
2.2k · bundle
nemo-automodel-model-onboarding
Guides implementation of new model architectures in NeMo AutoModel through five phases: discovery, implementation, registration, validation, and testing.
2.2k · bundle
ml-engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks, including model serving, feature engineering, A/B testing, and monitoring.
42.4k
More results
nv-segment-ct-finetune
Fine-tune NV-Segment-CT VISTA3D on CT NIfTI labels for smoke testing or dataset adaptation, wrapping the upstream MONAI bundle entrypoint.
2.2k · bundle
statsmodels
Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.
30.2k · bundle
gwas-pipeline
Automates genome-wide association studies from genotype files to publication-ready results, running PLINK2 QC and REGENIE regression with Manhattan and QQ plots.
17 · bundle
nemo-mbridge-mlm-bridge-training
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data, covering correlation testing, available recipes, and multi-GPU examples.
2.2k · bundle
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality.
10.4k · bundle
epsilon
Evaluates the correlation between a zero-cost NAS metric (epsilon) and actual training accuracy across different neural architecture search spaces, testing the metric's ability to rank architectures without training. It probes whether output dispersion from constant weight initializations can serve as a reliable.
3