「test」の検索結果

Build Flutter/Dart cross-platform apps with widgets, state management, navigation, tests, and performance patterns.

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。

E2E artifact handling routing. Use when traces, videos, screenshots, reports, or failure bundles need controlled repository-local placement; do not use for simple unit tests or production-mutating E2E flows.

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。

Code-review quality gate and test-enhancement rubric. Use when ROSE needs sharper review output contracts, severity and risk prioritization, evidence anchors, negative review cases, fixture or golden-output drift guidance, or a Chinese review report profile; do not use as a duplicate code-review agent or final PASS authority.

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 or modify concrete CI/CD pipelines, jobs, quality gates, test runners, or deployment automation; do not trigger merely because an existing CI gate failed or ordinary source code needs repair.

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。

Idiomatic Go - package and interface design, error wrapping, table-driven tests, generics, the modern standard library (slices/maps/cmp/errors.Join), current syntax, and logging discipline. Use when writing, reviewing, or refactoring any Go code, especially code drifting toward Java/Spring shapes (deep layer trees, generic repositories, heavy frameworks) - even if the user never says "idiomatic". Distilled from spf13/go-skills and adapted to this repo.

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。

Generates .http files for the VS Code REST Client extension from Express, Next.js, Fastify, or other API routes. Creates organized request files with variables, environments, and authentication. Use when users request "generate http files", "rest client requests", "create .http file", or "vscode api 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。

Implements security headers and Content Security Policy with safe rollout strategy (report-only → enforce), testing, and compatibility checks. Use for "security headers", "CSP", "HTTP headers", or "XSS protection".

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。

Sets up Storybook for component documentation with controls, actions, accessibility testing, and visual regression. Use when users request "Storybook setup", "component documentation", "UI library", "component stories", or "design system docs".

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。

How to write modern Swift well — modeling with value types, Swift 6 data-race safety and approachable concurrency (@concurrent, main-actor-by-default, actors, task groups), protocols and generics (some vs any), API design, performance and ARC, Swift Testing, macros, and the modern language features agents don't know about yet. Use when writing, reviewing, or migrating Swift, or when a concurrency error, a hang, a data race, a retain cycle, or a performance problem needs fixing.

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。

Market positioning strategy using the April Dunford framework, enriched with JTBD discovery, Moore positioning statement, and Neumeier's Onliness Test. Produces a complete positioning document, positioning statement, competitive alternatives map, and market category analysis. Use when the user wants to define or refine their market positioning, find their unique position, differentiate from competitors, craft a positioning statement, choose a market category, or figure out "how should we position this product." Triggers for "positioning", "how to position", "market position", "differentiation strategy", "positioning statement", "competitive positioning", "category strategy", "where do we fit in the market", "how are we different", "unique value proposition", or any request to define, sharpen, or rethink positioning. Works standalone — no prior startup-design or startup-competitors session needed, but leverages their output if available.

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。

Make a web app feel native on a phone — the small CSS and meta-tag fixes that separate "a website in a browser" from something that feels installed. Covers sticky hover states, tap highlight flashes, the 100vh bug, inputs that zoom the page, laggy taps, pull-to-refresh hijacking scroll, content under the notch, long-press selecting button text, carousels that scroll the wrong way, mismatched status bars, and the rule that you test on real hardware. Use when a web app is being built for or reviewed on mobile, when something "works in Chrome but feels wrong on my phone", when building a PWA, a bottom sheet, a carousel, a full-screen layout, or any touch interaction. For motion itself use animate; for React Native use animate-expo.

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。

Ensures tenant isolation at query and policy level using Row Level Security, automated testing, and security audits. Prevents data leakage between tenants. Use for "multi-tenancy", "tenant isolation", "RLS", or "data security".

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。

Implements role-based access control with permission matrix, route guards, policy functions, and UI permission hints. Provides middleware/guards, helper utilities, test suggestions, and permission checking patterns. Use when building "RBAC", "permissions", "access control", or "authorization".

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。

Creates stable mocks for APIs, services, and UI components using MSW (Mock Service Worker), fixture conventions, and example patterns. Use for "API mocking", "MSW", "test mocks", or "service mocking".

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。

Optimizes CI pipelines for monorepos by detecting affected packages/apps and running only necessary builds and tests. Includes Turborepo/Nx strategies, caching, and parallel execution. Use for "monorepo CI", "affected detection", "incremental builds", or "workspace optimization".

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。

Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test cases. Use for "debugging AI", "fixing prompts", "quality issues", or "output errors".

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。

Creates comprehensive GitHub Actions CI/CD workflows for linting, testing, building, and deploying. Includes caching strategies, matrix builds, artifact handling, and failure diagnostics. Use for "GitHub Actions", "CI pipeline", "workflow automation", or "continuous integration".

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。

Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".

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。

Creates comprehensive deployment checklists with pre-deployment checks, smoke tests, verification steps, and sign-off workflows. Use for "deployment checklist", "release verification", "deployment runbook", or "production readiness".

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。

Generates Bruno collection files (.bru) from Express, Next.js, Fastify, or other API routes. Creates organized collections with environments, authentication, and folder structure for the open-source Bruno API client. Use when users request "generate bruno collection", "bruno api testing", "create bru files", or "bruno import".

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。

Generates ready-to-run cURL commands from Express, Next.js, Fastify, or other API routes. Creates copy-paste commands with proper headers, authentication, and request bodies. Use when users request "generate curl commands", "curl examples", "api curl", or "command line api 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。

Generates clean React/Vue component skeletons with TypeScript types, prop variants, styling hooks, test files, Storybook stories, and usage documentation. Use when users request "create a component", "scaffold component", "new React component", or "generate component boilerplate".

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。

Optimizes CI/CD pipeline speed by implementing effective caching for dependencies, Docker layers, build outputs, and test results. Provides before/after performance metrics and best practices. Use for "CI caching", "pipeline optimization", "build speed", or "cache strategy".

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。

Use when selecting a statistical test with AI consultation, when assumptions need checking against the actual data, when an analysis plan or decision log must be written before running anything, or when results need APA-style reporting with effect sizes.

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。