行動開發

Apply changelog automation and semantic versioning patterns using Changesets or semantic-release: conventional commits, automated version bumping, release notes generation. Use when setting up release workflows, discussing versioning, or implementing changelog automation.

This skill enables Claude to profile application performance, analyzing CPU usage, memory consumption, and execution time. It is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. The skill uses the application-profiler plugin to identify performance bottlenecks and suggest code-level optimizations. Use it when asked to "profile application", "analyze performance", or "find bottlenecks". It is also helpful when the user mentions specific performance metrics like "CPU usage", "memory leaks", or "execution time".

This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unusual data points. Use this skill when the user requests anomaly detection, outlier analysis, or identification of unusual patterns in data. Trigger this skill when the user mentions "anomaly detection," "outlier analysis," "unusual data," or requests insights into data irregularities.

Orchestrate parallel CLI agents (Claude Code, Codex, Gemini) for competitive evaluation. Use when user says "run multi-agent", "compare agents", "launch competitive evaluation", "use parallel agents", or complex tasks (>7/10) where multiple approaches exist and best solution matters.

SECIモデル（野中郁次郎）に基づく組織知識の形式知化と共有を専門とするスキル。暗黙知（経験、勘、ノウハウ）を形式知（ドキュメント、パターン）に変換し、体系化することで組織全体で再利用可能な知識として活用する。Anchors:• The Knowledge-Creating Company (Nonaka/Takeuchi) / 適用: SECIサイクル4フェーズ（共同化・表出化・連結化・内面化） / 目的: 暗黙知の特定・言語化・統合の理論的基盤• The Pragmatic Programmer (Hunt/Thomas) / 適用: 実践的改善とDRY原則 / 目的: 品質維持と重複知識の統合判断• Design Patterns (Gang of Four) / 適用: パターン記述形式 / 目的: 再利用可能な知識の抽象化と構造化Trigger:Use when formalizing tacit knowledge, documenting best practices, converting code review insights to reusable knowledge, managing organizational knowledge base quality, or applying SECI model workflows.Keywords: knowledge management, tacit knowledge, explicit knowledge, SECI model, documentation, best practices, pattern extraction

Use when implementing bug fixes, features, or any code changes where test-first development is appropriate.

This skill enables Claude to manage database schema changes through version-controlled migrations. It is activated when the user requests to create, apply, or rollback database migrations. The skill supports generating timestamped migration files with both up and down migrations for PostgreSQL, MySQL, SQLite, and MongoDB. It helps in tracking schema evolution and ensuring safe database modifications. Use this skill when the user mentions "database migration", "schema change", "add column", "rollback migration", or "create migration".

This skill enables Claude to perform comprehensive accessibility audits. It uses the accessibility-test-scanner plugin to identify WCAG 2.1/2.2 compliance issues, validate ARIA attributes, check keyboard navigation, and assess screen reader compatibility. Use this skill when the user requests an accessibility scan, audit, or compliance check, or when terms like "WCAG", "ARIA", "screen reader", "accessibility testing", or "a11y" are mentioned. It provides actionable insights for improving web application accessibility.

This skill enables automated testing of mobile applications on iOS and Android platforms using frameworks like Appium, Detox, XCUITest, and Espresso. It generates end-to-end tests, sets up page object models, and handles platform-specific elements. Use this skill when the user requests mobile app testing, test automation for iOS or Android, or needs assistance with setting up device farms and simulators. The skill is triggered by terms like "mobile testing", "appium", "detox", "xcuitest", "espresso", "android test", "ios test".

データアクセス層の抽象化パターン専門スキル。アプリケーション層とデータアクセス層を分離し、ドメインエンティティをコレクション風インターフェースで操作する抽象化を提供する。インターフェース設計、実装、マッピング戦略を包括的にサポート。Anchors:• Patterns of Enterprise Application Architecture (Martin Fowler) / 適用: Repository Pattern / 目的: 永続化抽象化とドメイン保護• Domain-Driven Design (Eric Evans) / 適用: Aggregate, Repository / 目的: 集約境界とドメイン表現Trigger:Use when designing repository interfaces, implementing data access layers, or separating domain from persistence.repository pattern, data access layer, entity mapping, persistence abstraction, リポジトリパターン

This skill enables Claude to scan container images and running containers for vulnerabilities using tools like Trivy and Snyk. It identifies potential security risks in container environments. Use this skill when the user requests a security assessment of a container image, asks to identify vulnerabilities in a container, or wants to improve the security posture of their containerized applications. Trigger terms include "scan container," "container security," "vulnerability assessment," "Trivy scan," or "Snyk scan."

AI-powered testability assessment using 10 principles of intrinsic testability with Playwright. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.

This skill enables Claude to analyze and improve application caching strategies. It optimizes cache hit rates, TTL configurations, cache key design, and invalidation strategies. Use this skill when the user requests to "optimize cache performance", "improve caching strategy", "analyze cache hit rate", or needs assistance with "cache key design", "TTL optimization", or "cache invalidation". The skill identifies potential bottlenecks and recommends adjustments for improved performance and efficiency of caching mechanisms like Redis.

Apply reinforcement learning principles when working on spec-kit-extensions. Auto-activates when: (1) editing command prompts in commands/*.md, (2) modifying workflow templates in extensions/workflows/, (3) discussing user feedback about workflow friction, (4) reviewing issues or PRs mentioning prompt clarity or template problems, (5) analyzing chat logs or workflow usage from other repositories. Helps ensure changes improve prompt effectiveness and template utility.

This skill enables Claude to generate data visualizations, plots, charts, and graphs from provided data. It analyzes the data, selects the most appropriate visualization type, and creates a visually appealing and informative graphic. Use this skill when the user requests a visualization, plot, chart, or graph; when data needs to be presented visually; or when exploring data patterns. The skill is triggered by requests for "visualization", "plot", "chart", or "graph".

Clean Architecture patterns for Swift/SwiftUI iOS projects. Use when working on Swift/SwiftUI projects that follow Clean Architecture with bounded contexts, ports/adapters pattern, and layered separation (domain/UI). Triggers for creating features, use cases, refactoring to bounded contexts, reviewing architecture compliance, or understanding project structure.

Analyzes existing plugins to extract their capabilities, then adapts and applies those skills to the current task. Acts as a universal skill chameleon that learns from other plugins.

構造化ログのスキーマ設計、ログレベル設計、PIIマスキング、JSONログ実装を支援するスキル。ログ要件整理から検証までを一貫して整理する。Anchors:• Observability Engineering / 適用: ログ設計 / 目的: 可観測性向上• 12-Factor App / 適用: 構造化ログ / 目的: JSONログ標準化Trigger:Use when designing JSON log schemas, defining log levels, applying PII masking, or improving observability.structured logging, json logs, log schema, log levels, pii masking

This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.

Railway環境でのTursoデータベース管理を専門とするスキル。環境グループ設計、Variables vs Secrets分類、Turso統合設定、Railway CLI活用、一時ファイルセキュリティの実装パターンを提供。Anchors:• 『The Pragmatic Programmer』（Hunt/Thomas）/ 適用: 設定管理・自動化 / 目的: 実践的な環境構築• 12-Factor App / 適用: 環境変数設計 / 目的: 設定と認証情報の分離• Railway公式ドキュメント / 適用: サービス設定 / 目的: プラットフォーム固有の最適化Trigger:Use when setting up Railway project secrets, configuring environment groups, integrating Turso database, using Railway CLI for local development, or securing log output.railway, turso, database, secrets, variables, environment, cli, libsql