DeFi

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").

Specializes in agent dependency and interface design. Defines skill references, command coordination, and inter-agent collaboration protocols while preventing circular dependencies to build effective multi-agent systems.Anchors:• "The Pragmatic Programmer" (Andrew Hunt, David Thomas) / Application: Procedure design and practical improvement / Purpose: Build effective agent collaboration mechanisms• "Software Architecture in Practice" (Len Bass, Paul Clements, Rick Kazman) / Application: Interface design patterns / Purpose: Minimize dependencies and improve maintainabilityTrigger:Use when defining inter-agent data handoffs, designing multi-agent collaboration, detecting or resolving circular dependencies, or defining handoff protocols.agent collaboration, dependency graph, handoff protocol, circular dependency, skill reference, multi-agent system

MCPサーバー設計パターンとアーキテクチャベストプラクティス。ツール組織化、エラーハンドリング、状態管理、サーバーライフサイクル管理の実証済みパターンを提供。Anchors:• Clean Architecture / 適用: サーバー構造と依存関係管理 / 目的: テスト可能で保守性の高いコード• Domain-Driven Design / 適用: ツールドメインモデリングと境界付きコンテキスト / 目的: 機能別ツール組織化• Pragmatic Programmer / 適用: エラーハンドリングと回復性パターン / 目的: 堅牢なサーバー構築Trigger:Use when designing MCP server architecture, organizing tool definitions, implementing error handling patterns, managing server state, structuring MCP server projects, or refactoring existing MCP servers.

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.

Define and run end-to-end test scenarios for medical residency scheduling. Use when validating complex scheduling logic, testing edge cases, verifying ACGME compliance under stress, or running regression scenarios. Includes 20+ pre-built scenarios covering N-1 failures, multi-swap operations, holiday conflicts, and moonlighting.

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 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.

Debug and fix failures in Taskcluster tasks. Use this skill when the user asks to debug a task, fix a failing task, or investigate task errors/failures. This skill uses the Taskcluster CLI to fetch task logs and definitions, analyzes errors, and uses `taskgraph load-task --develop` to reproduce and debug issues locally. Invoke this for any request involving Taskcluster task debugging, task failures, or when given a task ID to investigate.

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.

Generates GraphQL schemas with type definitions, resolvers, queries, mutations, and subscriptions. Use when building GraphQL APIs.