DeFi

コマンド引数（$ARGUMENTS、位置引数）の設計と検証を整理し、引数仕様・検証・エラー設計を一貫して支援するスキル。引数設計方針、検証ルール、テンプレート運用を段階化する。Anchors:• The Pragmatic Programmer (Andrew Hunt, David Thomas) / 適用: 引数仕様と検証の設計 / 目的: 堅牢な引数システムの確立Trigger:Use when adding command arguments, defining $ARGUMENTS or positional arguments, or designing argument validation/error handling.command arguments, $ARGUMENTS, positional arguments, argument validation, error message design

Implements reliability patterns including circuit breakers, retries, fallbacks, bulkheads, and SLO definitions. Provides failure mode analysis and incident response plans. Use for "SRE", "reliability", "resilience", or "failure handling".

This skill enables Claude to monitor and analyze application error rates to improve reliability. It is used when the user needs to track and understand errors occurring in their application, including HTTP errors, application exceptions, database errors, external API errors, background job errors, and client-side errors. Use this skill when the user asks to "monitor errors", "analyze error rates", "track application errors", or requests help with "error monitoring". It sets up comprehensive error tracking and alerting based on defined thresholds.

ORMベストプラクティスの専門スキル。Drizzle ORMを活用したエンティティ設計、リレーション管理、パフォーマンス最適化を提供します。Anchors:• Designing Data-Intensive Applications (Martin Kleppmann) / 適用: データモデリング / 目的: 型安全なスキーマ定義とパフォーマンス最適化• Drizzle ORM Documentation / 適用: TypeScript ORM / 目的: 型推論とクエリビルダーの活用• High Performance MySQL (Baron Schwartz) / 適用: クエリ最適化 / 目的: N+1問題とインデックス戦略Trigger:Use when defining Drizzle ORM schemas, mapping entity relationships, optimizing database queries, solving N+1 problems, or implementing type-safe data access patterns.ORM, Drizzle, schema, relation, N+1, query builder, type-safe, entity mapping

Model Context Protocol (MCP) 仕様と実装パターン。サーバー設定、ツール定義、LLM統合向けJSONスキーマ設計を提供。Anchors:• MCP Official Specification / 適用: プロトコルバージョン、メッセージフォーマット / 目的: 仕様準拠• JSON Schema Draft-07 / 適用: inputSchemaバリデーション / 目的: 型安全ツール定義• The Pragmatic Programmer / 適用: DRY、直交性 / 目的: 保守性の高い設定Trigger:Use when configuring MCP servers, designing tool definitions with JSON Schema,validating MCP protocol compliance, or troubleshooting connection/timeout errors.

This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

This skill enables Claude to create intelligent alerting rules for proactive performance monitoring. It is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". The skill helps define thresholds, routing, and escalation policies, and offers options for multi-category alert creation, including latency, error rate, throughput, resource utilization, availability, and SLO violation alerts. It is useful for Site Reliability Engineers (SREs) and DevOps teams looking to improve system observability.

React Server Components（RSC）の実装パターンとNext.js App Routerにおけるベストプラクティスを提供する専門スキル。サーバーコンポーネントとクライアントコンポーネントの責務分離、データフェッチの最適化、Suspenseとストリーミングの活用を支援します。Anchors:• 『Learning React Server Components』（Tejas Kumar）/ 適用: RSCアーキテクチャ / 目的: サーバーとクライアント間の責務分離• Next.js App Router公式ドキュメント / 適用: RSC実装パターン / 目的: Next.js固有の最適化手法• Dan Abramovのブログ / 適用: RSC設計思想 / 目的: 第一原理からの理解Trigger:Use when implementing Next.js App Router, designing Server Components, defining Client Component boundaries, optimizing data fetching, integrating Suspense, or implementing streaming SSR.rsc, server components, client components, next.js app router, use client, suspense, streaming, data fetching

This skill enables Claude to generate Kubernetes deployment manifests, services, and related configurations following best practices. It should be used when the user asks to create a new Kubernetes deployment, service, ingress, or other related resources. Claude will generate YAML files for Deployments, Services, ConfigMaps, Secrets, Ingress, and Horizontal Pod Autoscalers. Use this skill when the user mentions "Kubernetes deployment", "K8s deployment", "create service", "define ingress", or asks for a manifest for any K8s resource.

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

データ変換パイプラインの設計・実装・検証を整理するスキル。スキーママッピング、ETL設計、品質確認までの実務フローを提供する。Anchors:• Designing Data-Intensive Applications / 適用: データモデリング / 目的: 変換の整合性確保• Designing Data-Intensive Applications / 適用: スキーマ設計 / 目的: マッピングの明確化• Designing Data-Intensive Applications / 適用: パイプライン設計 / 目的: 伸縮性と監視性の確保Trigger:Use when designing data transformation pipelines, defining schema mappings, implementing ETL processes, or optimizing data flows.data transformation, schema mapping, etl design, pipeline optimization, data modeling

This skill enables Claude to create Application Performance Monitoring (APM) dashboards. It is triggered when the user requests the creation of a new APM dashboard, monitoring dashboard, or a dashboard for application performance. The skill helps define key metrics and visualizations for monitoring application health, performance, and user experience across multiple platforms like Grafana and Datadog. Use this skill when the user needs assistance setting up a new monitoring solution or expanding an existing one. The plugin supports the creation of dashboards focusing on golden signals, request metrics, resource utilization, database metrics, cache metrics, business metrics, and error tracking.

This skill enables Claude to create intelligent alerting rules for proactive performance monitoring. It is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". The skill helps define thresholds, routing, and escalation policies, and offers options for multi-category alert creation, including latency, error rate, throughput, resource utilization, availability, and SLO violation alerts. It is useful for Site Reliability Engineers (SREs) and DevOps teams looking to improve system observability.

現代的なSREプラクティスに基づくObservabilityと監視システム設計の専門知識。メトリクス、ログ、トレースの3本柱とダッシュボード設計、SLI/SLO定義を提供。Anchors:• Google SRE Book / 適用: Observabilityアーキテクチャ・SLI/SLO設計 / 目的: 本番環境対応の監視システム• Observability Engineering (Honeycomb) / 適用: モダンObservabilityパターン / 目的: 高カーディナリティObservability実装• The Art of Monitoring (James Turnbull) / 適用: 実践的な監視実装 / 目的: エンドツーエンドの監視ワークフローTrigger:Use when designing observability systems, implementing metrics collection, setting up distributed tracing, creating dashboards, defining SLIs/SLOs, or establishing logging strategies.observability, monitoring, metrics, traces, logs, SLI, SLO, Prometheus, Grafana, OpenTelemetry

This skill enables Claude to detect infrastructure drift from a desired state. It uses the `drift-detect` command to identify discrepancies between the current infrastructure configuration and the intended configuration, as defined in infrastructure-as-code tools like Terraform. Use this skill when the user asks to check for infrastructure drift, identify configuration changes, or ensure that the current infrastructure matches the desired state. It is particularly useful in DevOps workflows for maintaining infrastructure consistency and preventing configuration errors. Trigger this skill when the user mentions "drift detection," "infrastructure changes," "configuration drift," or requests a "drift report."

Package claudefiles components into a valid Claude Code plugin

一貫性と拡張性を両立するデザインシステムの基盤設計を支援するスキル。デザイントークン、コンポーネント規約、Figma/コード同期を体系化する。Anchors:• Atomic Design / 適用: コンポーネント階層設計 / 目的: 構造の一貫性確保• Design Tokens / 適用: トークン管理 / 目的: 再利用性の向上• Clean Architecture / 適用: 依存関係設計 / 目的: 責務分離Trigger:Use when designing a design system, defining design tokens, or establishing component and Figma-code synchronization rules.design system architecture, design tokens, figma sync, component guidelines

Comprehensive guide for creating React components in the squared package and squareone app. Use this skill when creating new components, setting up component structure, implementing CSS Modules styling, writing Storybook stories, or setting up component tests. Covers TypeScript patterns (type vs interface, no React.FC), CSS Modules with design tokens, compound component patterns, Storybook integration, and vitest testing.

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").