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概要と使いどころ
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
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。
54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.
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。
Humanize text: strip AI-isms and add real voice.
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。
Audit and realign UI to match design system standards, spacing, tokens, and patterns. Use when the user mentions consistency, design drift, mismatched styles, tokens, or wants to bring a feature back in line with the system.
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。
Increase visual impact, contrast, personality, and compositional confidence when a design feels bland, generic, or too safe. Use when the design needs more energy, confidence, or memorability—not when the real problem is clutter, over-intensity, or micro-detail polish.
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。
Reduce visual intensity, saturation, and noise while preserving hierarchy and character. Use when the structure is basically sound but the design feels too loud, bold, garish, aggressive, or overstimulating—not when the real problem is structural clutter, too many features, or not enough personality.
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。
Simplify cluttered UI by removing unnecessary elements, choices, features, and structural complexity. Use when the problem is too many controls, options, features, or competing elements—not when the structure is sound and the real issue is only visual intensity or lack of personality.
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。
Phase 1 of the Forge pipeline. Gather real context from the codebase, answer everything the code can answer through exploration, then grill the user one question at a time (with a recommended answer) for only what code cannot answer, and write a research document. Use when starting /forge-research or the research step of /forgemaster, or when the user wants a research-first investigation before planning a feature.
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。
Report git state, ready work, blocked items, and PR health. Use when the user runs /status or wants a workspace snapshot.
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 AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
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。
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.
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 modern GraphQL with federation, performance optimization, and enterprise security. Build scalable schemas, implement advanced caching, and design real-time systems. Use PROACTIVELY for GraphQL architecture or performance 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。
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。
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
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 modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
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。
Specialized skill for testing file system operations using System.IO.Abstractions. Use when you need to test File, Directory, Path operations, or simulate file system. Covers IFileSystem, MockFileSystem, file read/write testing, directory operation testing, etc. Keywords: file testing, filesystem, file testing, file system testing, IFileSystem, MockFileSystem, System.IO.Abstractions, File.ReadAllText, File.WriteAllText, Directory.CreateDirectory, Path.Combine, mock file system, file abstraction
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。
Adds observability. OpenTelemetry traces/metrics/logs, health checks, custom metrics.
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 .NET allocations and throughput. Span, ArrayPool, ref struct, sealed, stackalloc.
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。
Specialized skill for containerized database testing using Testcontainers. Use when testing real database behavior, using SQL Server/PostgreSQL/MySQL containers, testing EF Core/Dapper. Covers container startup, database migrations, test isolation, container sharing. Keywords: testcontainers, container testing, database testing, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture
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。
Tests with real infrastructure. WebApplicationFactory, Testcontainers, Aspire, fixtures.
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。
Designs types for performance. struct vs class, sealed, readonly struct, Span/Memory, collections.
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。
Orchestrates .NET Aspire apps. AppHost, service discovery, components, dashboard, health checks.
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 after building a feature — explore it in a real browser to find what nobody predicted, then turn each finding into a deterministic test that guards it forever. Covers the agentic pass, what to generate vs hand-write, and how to skip honestly when a capability is missing.
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。
Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.
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。