DeFi

複数の要件や要望を体系的に分析・評価し、実装する項目を決定するスキル。MoSCoW分類、優先度スコアリング、影響分析を提供する。プロジェクト初期段階での要件整理から、開発中の追加要望への対応まで幅広く活用できる。Anchors:• Software Requirements (Karl Wiegers) / 適用: 要件優先順位付け / 目的: リソース最適配分• Lean Analytics (Alistair Croll) / 適用: ビジネス価値評価 / 目的: 戦略的決定支援• Prioritization Frameworks / 適用: MoSCoW, RICE, Kano / 目的: 体系的な優先順位決定Trigger:Use when triaging multiple requirements, prioritizing features, defining scope, or making resource allocation decisions.requirements triage, priority scoring, MoSCoW classification, scope management, feature prioritization, 要件トリアージ, 優先順位付け

This skill performs PCA-based A/B compartments calling on Hi-C .mcool datasets using pre-defined MCP tools from the cooler-tools, cooltools-tools, and plot-hic-tools servers.

This skill runs smoke tests to verify critical application functionality. It executes pre-defined test suites that check system health, authentication, core features, and external integrations. Use this skill after deployments, upgrades, or significant configuration changes to ensure the application is operational. Trigger this skill using the terms "smoke test" or "st".

Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project source code and interviewing engineers. Use when engineers need to create or update entity.datadog.yaml files for services, datastores, queues, APIs, or systems. Triggers include: "create entity yaml", "generate service catalog entry", "document this project in datadog", "create service definition", "add to software catalog", or any request involving Datadog entity/service documentation. Supports all v3 entity kinds: service, datastore, queue, api, system. Fetches existing Datadog data via API. Validates against official JSON schema. Merges with existing definitions. Outputs to .datadog/ directory.

Designs background job processing systems with queue integration (BullMQ/Celery), job definitions, retry policies, exponential backoff, idempotent execution, and monitoring hooks. Use when implementing "background jobs", "task queues", "async processing", or "job workers".

Velociraptor DFIR integration for LimaCharlie. List available VQL artifacts, view artifact definitions, launch forensic collections on endpoints. Find raw collection data in Artifacts (type:velociraptor, source:SID). Query processed JSON events from the 'velociraptor' sensor (tag:ext:ext-velociraptor). Build D&R rules for velociraptor_collection events. Use for: forensic triage, incident response, threat hunting, VQL artifact collection.

This skill enables Claude to orchestrate complex test workflows using the test-orchestrator plugin. It allows Claude to define test execution graphs with dependencies, execute tests in parallel, and intelligently select tests to run based on code changes. Use this skill when a user requests test orchestration, dependency management for tests, parallel test execution, smart test selection, or CI/CD integration for testing. Trigger terms include "orchestrate tests", "test workflow", "parallel testing", "smart test selection", "test dependencies", and "/orchestrate".

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.

This skill enables Claude to generate Docker Compose configurations for multi-container applications. It leverages best practices for production-ready deployments, including defining services, networks, volumes, health checks, and resource limits. Claude should use this skill when the user requests a Docker Compose file, specifies application architecture involving multiple containers, or mentions needs for container orchestration, environment variables, or persistent data management in a Docker environment. Trigger terms include "docker-compose", "docker compose file", "multi-container", "container orchestration", "docker environment", "service definition", "volume management", "network configuration", "health checks", "resource limits", and ".env files".

Use when creating new skills, documenting workflows, or standardizing processes into reusable skill definitions.

安全で可逆的なデータベースマイグレーションを設計・運用するスキル。スキーマ変更計画、移行期間、ロールバックまでの実務フローを整理する。Anchors:• Refactoring Databases / 適用: 安全なスキーマ進化 / 目的: 破壊的変更の最小化• Drizzle Kit / 適用: マイグレーション生成 / 目的: 変更管理の自動化• Zero-Downtime Patterns / 適用: 本番適用 / 目的: サービス停止の回避Trigger:Use when planning schema changes, generating migrations, applying them safely, or defining rollback/transition strategies.database migrations, schema change, drizzle kit, rollback, zero downtime

DrizzleORMを使用したデータベーススキーマ設計、マイグレーション、型安全なクエリ構築を専門とするスキル。SQLite、PostgreSQL、MySQLに対応し、TypeScriptの型システムを最大限活用した堅牢なDB層を構築する。Anchors:• Drizzle ORM公式ドキュメント / 適用: スキーマ定義とマイグレーション / 目的: 型安全なDB設計の基盤• TypeScript型システム / 適用: クエリビルダーとスキーマ定義 / 目的: エンドツーエンドの型安全性• Database Design for Mere Mortals (Hernandez) / 適用: リレーション設計 / 目的: 正規化と参照整合性Trigger:Use when defining Drizzle schemas, creating migrations, building type-safe queries, designing relations, or optimizing database performance.drizzle, orm, schema, migration, sqlite, postgresql, type-safe query

ドメイン駆動設計におけるユビキタス言語の確立と適用を専門とするスキル。ドメインエキスパートと開発者が共有する厳密な語彙体系を構築し、コミュニケーションの齟齬を防ぐ。Anchors:• Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語の原則と実践 / 目的: コードとドメインの一貫性確保• Bounded Context / 適用: コンテキスト境界での用語の意味の違いを管理 / 目的: 用語の曖昧さ排除Trigger:Use when establishing domain terminology, creating glossaries, aligning business and technical vocabulary,extracting terms from requirements, defining ubiquitous language for DDD projects,resolving naming conflicts in code, or maintaining domain vocabulary consistency.

This skill should be used when the user requests a code review of changed files. Use this to review git-diffed files for security vulnerabilities (OWASP Top 10), performance issues (O(N) complexity, ORM optimization), bugs, and adherence to project coding standards defined in agents.md and claude.md.

Standardize markdown document creation and updates with proper headers and footers. Use when creating OR updating any markdown file that is NOT a subagent, command, or skill definition. Ensures consistent metadata, classification, and change tracking.

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.

Create custom Task subagents in ~/.claude/agents/. Use when defining new agents for Task tool delegation.

Given-When-Then 形式の受け入れ基準を整理し、テスト可能な完了条件の定義を支援するスキル。要件の明確化、シナリオ設計、検証手順を一貫して整理する。Anchors:• Software Requirements (Karl Wiegers) / 適用: 要件分析・仕様化 / 目的: テスト可能な要件定義の手法• BDD in Action (John Ferguson Smart) / 適用: Given-When-Thenパターン / 目的: 振る舞い駆動開発の基盤Trigger:Use when defining acceptance criteria, user story specifications, or testable requirements.acceptance criteria, user story, GWT, Given-When-Then, testable requirements, definition of done

This skill enables Claude to generate Docker Compose configurations for multi-container applications. It leverages best practices for production-ready deployments, including defining services, networks, volumes, health checks, and resource limits. Claude should use this skill when the user requests a Docker Compose file, specifies application architecture involving multiple containers, or mentions needs for container orchestration, environment variables, or persistent data management in a Docker environment. Trigger terms include "docker-compose", "docker compose file", "multi-container", "container orchestration", "docker environment", "service definition", "volume management", "network configuration", "health checks", "resource limits", and ".env files".

アプリケーションとインフラの監視・アラート設計を専門とするスキル。ゴールデンシグナル（レイテンシー・トラフィック・エラー・飽和度）に基づくメトリクス戦略、構造化ログ設計、SLI/SLO定義、アラート閾値設定、ダッシュボード構成を統合的に提供する。Anchors:• Observability Engineering (Charity Majors) / 適用: ログ設計とメトリクス戦略 / 目的: 高カーディナリティ観測の実現• Site Reliability Engineering (Google) / 適用: SLI/SLO設計 / 目的: ビジネス価値に基づく監視体系• Golden Signals / 適用: 4指標（Latency・Traffic・Errors・Saturation） / 目的: 効果的な監視指標の選定Trigger:Use when designing monitoring strategy, defining SLI/SLO, configuring alerts, implementing structured logging, or building observability dashboards.monitoring, alerting, observability, metrics, logging, SLI, SLO, golden signals, dashboard, Grafana, Prometheus, Discord webhook