「testing」の検索結果

Set up snapshot testing for CLI output with update workflows and diff reporting.

日本語の概要は準備中です。原文の説明を表示しています。

Establish project governing principles including dev guidelines, code quality standards, testing policies, UX requirements, performance benchmarks, and security constraints.

日本語の概要は準備中です。原文の説明を表示しています。

6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

日本語の概要は準備中です。原文の説明を表示しています。

6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.

日本語の概要は準備中です。原文の説明を表示しています。

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.

日本語の概要は準備中です。原文の説明を表示しています。

Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.

日本語の概要は準備中です。原文の説明を表示しています。

Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.

日本語の概要は準備中です。原文の説明を表示しています。

Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.

日本語の概要は準備中です。原文の説明を表示しています。

Scaffold Rust projects with Cargo, module organization, testing, and development tooling. Use when starting Rust applications or libraries and establishing their project structure.

日本語の概要は準備中です。原文の説明を表示しています。

Resolve GitHub issues through triage, reproduction, implementation, testing, and collaboration. Use when investigating a reported bug or delivering a feature described in an issue.

日本語の概要は準備中です。原文の説明を表示しています。

Combine static analysis with model-assisted code review to assess security, performance, correctness, and architecture. Use when designing review automation or reviewing complex changes.

日本語の概要は準備中です。原文の説明を表示しています。

Write idiomatic Ruby code with metaprogramming, Rails patterns, and performance optimization. Specializes in Ruby on Rails, gem development, and testing frameworks. Use PROACTIVELY for Ruby refactoring, optimization, or complex Ruby features.

日本語の概要は準備中です。原文の説明を表示しています。

Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.

日本語の概要は準備中です。原文の説明を表示しています。

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.

日本語の概要は準備中です。原文の説明を表示しています。

Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks

日本語の概要は準備中です。原文の説明を表示しています。

Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.

日本語の概要は準備中です。原文の説明を表示しています。

Coordinate specialized code, security, architecture, and performance reviewers and consolidate their results. Use when a codebase needs parallel review across multiple disciplines.

日本語の概要は準備中です。原文の説明を表示しています。

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

日本語の概要は準備中です。原文の説明を表示しています。

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

日本語の概要は準備中です。原文の説明を表示しています。

Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.

日本語の概要は準備中です。原文の説明を表示しています。

Plan incremental dependency upgrades with breaking-change analysis, migration guidance, and regression testing. Use when updating packages while controlling compatibility risk.

日本語の概要は準備中です。原文の説明を表示しています。

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.

日本語の概要は準備中です。原文の説明を表示しています。

Expert firmware analyst specializing in embedded systems, IoT security, and hardware reverse engineering. Masters firmware extraction, analysis, and vulnerability research for routers, IoT devices, automotive systems, and industrial controllers. Use PROACTIVELY for firmware security audits, IoT penetration testing, or embedded systems research.

日本語の概要は準備中です。原文の説明を表示しています。