Results for “testing”

Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js authentication. Use PROACTIVELY for any Nest.js application issues including architecture decisions, testing strategies, performance optimization, or debugging complex dependency injection problems. If a specialized expert is a better fit, I will recommend switching and stop.

Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js authentication. Use PROACTIVELY for any Nest.js application issues including architecture decisions, testing strategies, performance optimization, or debugging complex dependency injection problems. If a specialized expert is a better fit, I will recommend switching and stop.

Use to test whether a support control actually operates, the way an auditor would test it, rather than confirming it exists on paper. Trigger for "test our controls", "does this control actually work", second-line assurance over support, control effectiveness testing, preparing for an internal audit, or a control that passed review and then failed in practice.

Find root causes of bugs, test failures, or unexpected behavior before proposing any fixes.

Dispatch multiple independent tasks to parallel agents for faster debugging and problem-solving.

Explores websites using Playwright to identify core features and generate test cases.

Build reliable, fault-tolerant Python applications with DBOS durable workflows, steps, queues, and communication patterns.

Run GitHub Actions workflows locally with act, including installation, configuration, event payloads, secrets, and debugging.

Provides code review best practices, checklists, and example feedback for quality, security, performance, and maintainability.

Ecto patterns for Phoenix/Elixir apps. Covers schemas, changesets, migrations, queries, Ecto.Multi, transactions, constraints, associations, pagination, tenant partitioning, performance, and testing.

Write idiomatic Ruby code with metaprogramming, Rails patterns, and performance optimization. Specializes in Ruby on Rails, gem development, and testing frameworks.

Identifies, assesses, and mitigates risks at every phase of a development pipeline.

Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment.

A collection of 800 curated Claude Code skills covering Azure SDK, engineering, language specialists, product, testing, security, DevOps, ML, and creative workflows.

Set up CI/CD pipelines for Flutter apps. Use when configuring automated testing, build, or deployment workflows with GitHub Actions or Fastlane.

Write idiomatic Ruby code with metaprogramming, Rails patterns, and performance optimization. Specializes in Ruby on Rails, gem development, and testing frameworks.

Build terminal UIs with OpenTUI. Covers core, components, audio, keymaps, React, Solid, plugins, testing, standalone executables, QR encoding, SSH, and Three.js WebGPU.

Use when configuring or maintaining a TypeScript repository, package manager, tsconfig files, linting, formatting, testing, builds, workspaces, CI, or publishing automation.

Agent D4 - Measurement Instrument Developer - Scale construction and psychometric validation. Covers item development, validity evidence, and reliability testing for social science research.

The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices.

Fuzz Rust projects with libFuzzer using cargo-fuzz, including harness writing, sanitizer integration, and coverage analysis.

Debug, evaluate, and monitor LLM applications with tracing, datasets, and built-in evaluators.

Manage Convex table retention policies, TTL fields, cleanup crons, and schema classification for ClawHub.

Master index of Odoo 18 development guides, covering modules, models, views, security, testing, and more.

Guides users through creating, editing, and optimizing agent skills, including drafting, testing, evaluating, and improving skill performance.

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices.

Tests approaches at extreme scales to reveal fundamental limits and strengths hidden at normal scales.

Model any API with Swamp, test it, and enrich *Claw with new capabilities — full lifecycle from idea to working.

Documents the required and optional keys for defining unit tests in a dbt YAML schema file.

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

Cypress end-to-end and component testing patterns for web apps: reliable selectors, stable waits, network stubbing, auth handling, CI parallelization, and flake reduction

`analysis-agent`/`task-agent`/`review-agent`: use for provider-consumer compatibility of APIs, events, schemas, or behavior; skip without independent consumer/version risk.

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.

Analyze test coverage gaps. Use when user says "test coverage", "what's not tested", "coverage gaps", "missing tests", "coverage report", or "what needs testing".

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.