數據工程

Infer data schema and generate Nixtla-compatible transformations from CSV, SQL, Parquet, or dbt sources

This skill enables Claude to manage container registries, including ECR, GCR, and Harbor. It should be used when the user needs to create, configure, or manage container image registries. It helps generate production-ready configurations, implement best practices, and ensure a security-first approach. Use this skill when the user mentions terms like "container registry," "ECR," "GCR," "Harbor," "image repository," or requests assistance with managing container images. It's also helpful for generating configuration code for DevOps pipelines related to container registries.

Complete testing infrastructure and patterns for the monorepo. Use this skill when writing tests, setting up test configuration, troubleshooting test failures, or working with the CI pipeline. Covers vitest configuration, Storybook addon-vitest integration, React Testing Library patterns, mock data setup, and the test-suite-runner agent for comprehensive testing.

フレーキー（不安定）なテストを検出・修正するスキル。非決定性の排除、リトライロジック、テスト安定性向上パターンを提供。並列実行時の問題解決やタイミング依存の除去を支援。Anchors:• Test-Driven Development（Kent Beck） / 適用: Red-Green-Refactor / 目的: 安定したテスト設計• xUnit Test Patterns（Gerard Meszaros） / 適用: テストダブル / 目的: 非決定性の隔離• Continuous Delivery（Jez Humble） / 適用: パイプライン信頼性 / 目的: CI/CDの安定化Trigger:Use when tests fail intermittently, detecting flaky tests, eliminating non-determinism in tests, fixing timing-dependent failures, or stabilizing CI/CD pipelines.

This skill enables Claude to manage container registries, including ECR, GCR, and Harbor. It should be used when the user needs to create, configure, or manage container image registries. It helps generate production-ready configurations, implement best practices, and ensure a security-first approach. Use this skill when the user mentions terms like "container registry," "ECR," "GCR," "Harbor," "image repository," or requests assistance with managing container images. It's also helpful for generating configuration code for DevOps pipelines related to container registries.

GLSL shader fundamentals—vertex and fragment shaders, uniforms, varyings, attributes, coordinate systems, built-in variables, and data types. Use when writing custom shaders, understanding the graphics pipeline, or debugging shader code. The foundational skill for all shader work.

GitHub Actions の並行実行制御を設計し、レースコンディションを防止するスキル。concurrency.group と cancel-in-progress を用いた競合回避と検証手順を整理する。Anchors:• The Pragmatic Programmer / 適用: 並行実行制御と品質維持 / 目的: 実践的な改善原則の適用• GitHub Actions Concurrency 仕様 / 適用: group と cancel-in-progress の設定 / 目的: レースコンディション防止• CI/CD Pipeline パターン / 適用: ワークフロー設計と実行管理 / 目的: 安全なパイプライン構築Trigger:Use when implementing concurrency control in GitHub Actions workflows, preventing race conditions, or designing group-based cancellation strategies.concurrency control, github actions, group, cancel-in-progress, race condition

Implement RxJS observables, apply operators, fix memory leaks with unsubscribe patterns, handle errors, create subjects, and build reactive data pipelines in Angular applications.

Test harness for executing Speckit workflows non-interactively using subagents. Use when you need to test the complete Speckit pipeline (Phase 0 → Phase 3) or individual phases, validate artifact generation across all commands, automate testing of specification-to-implementation workflows, or verify cross-phase consistency. This skill orchestrates the execution of all Speckit commands in order without user intervention.

Creates comprehensive GitHub Actions CI/CD workflows for linting, testing, building, and deploying. Includes caching strategies, matrix builds, artifact handling, and failure diagnostics. Use for "GitHub Actions", "CI pipeline", "workflow automation", or "continuous integration".

Create and manage data pipelines using the FlowerPower framework with Hamilton DAGs and uv. Use when users request creating flowerpower projects, pipelines, Hamilton dataflows, or ask about flowerpower configuration, execution, or CLI commands.

自動化スクリプト（Bash/Python/Node）の設計・実装・運用を支援するスキル。冪等性、エラーハンドリング、ログ設計、CI/CD統合の指針を整理します。Anchors:• The Pragmatic Programmer / 適用: 自動化の実務 / 目的: 再現性の高いスクリプト設計• Automation Pipeline Patterns / 適用: ワークフロー設計 / 目的: 反復作業の効率化• Unix Philosophy / 適用: スクリプト構成 / 目的: 小さな責務分離Trigger:Use when designing automation scripts, adding error handling/logging, or integrating scripts into CI/CD pipelines.

This skill empowers Claude to preprocess and clean data using automated pipelines. It is designed to streamline data preparation for machine learning tasks, implementing best practices for data validation, transformation, and error handling. Claude should use this skill when the user requests data preprocessing, data cleaning, ETL tasks, or mentions the need for automated pipelines for data preparation. Trigger terms include "preprocess data", "clean data", "ETL pipeline", "data transformation", and "data validation". The skill ensures data quality and prepares it for effective analysis and model training.

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

Node.jsにおけるストリーム処理とバックプレッシャー管理の専門知識。大容量ファイルの効率的処理、メモリ使用量の最適化、Readable/Writable/Transform/Duplexストリームの適切な活用方法を提供。Anchors:• Node.js Streams API Documentation / 適用: ストリームAPI全般 / 目的: 公式APIの正確な使用• Backpressuring in Streams (Node.js official) / 適用: バックプレッシャー管理 / 目的: メモリ効率最適化• The Pragmatic Programmer (Hunt and Thomas) / 適用: 実装品質 / 目的: 保守性とテスタビリティTrigger:Use when implementing stream processing in Node.js, handling large files, managing backpressure, or building data transformation pipelines.nodejs stream, stream processing, backpressure, readable stream, writable stream, transform stream, duplex stream, pipeline, large file

This skill manages database testing by generating test data, wrapping tests in transactions, and validating database schemas. It is used to create robust and reliable database interactions. Claude uses this skill when the user requests database testing utilities, including test data generation, transaction management, schema validation, or migration testing. Trigger this skill by mentioning "database testing," "test data factories," "transaction rollback," "schema validation," or using the `/db-test` or `/dbt` commands.

This skill provides a complete pipeline for integrating CpG methylation data with chromatin features such as ATAC-seq signal, H3K27ac, H3K4me3, or other histone marks/TF signals.

This skill enables Claude to construct GitOps workflows using ArgoCD and Flux. It is designed to generate production-ready configurations, implement best practices, and ensure a security-first approach for Kubernetes deployments. Use this skill when the user explicitly requests "GitOps workflow", "ArgoCD", "Flux", or asks for help with setting up a continuous delivery pipeline using GitOps principles. The skill will generate the necessary configuration files and setup code based on the user's specific requirements and infrastructure.

This skill manages database testing by generating test data, wrapping tests in transactions, and validating database schemas. It is used to create robust and reliable database interactions. Claude uses this skill when the user requests database testing utilities, including test data generation, transaction management, schema validation, or migration testing. Trigger this skill by mentioning "database testing," "test data factories," "transaction rollback," "schema validation," or using the `/db-test` or `/dbt` commands.

This skill enables Claude to manage container registries, including ECR, GCR, and Harbor. It should be used when the user needs to create, configure, or manage container image registries. It helps generate production-ready configurations, implement best practices, and ensure a security-first approach. Use this skill when the user mentions terms like "container registry," "ECR," "GCR," "Harbor," "image repository," or requests assistance with managing container images. It's also helpful for generating configuration code for DevOps pipelines related to container registries.