資料庫

Analyzes Rails applications and generates comprehensive upgrade reports with breaking changes, deprecations, and step-by-step migration guides for Rails 7.0 through 8.1.1. Use when upgrading Rails applications, planning multi-hop upgrades, or querying version-specific changes.

Comprehensive code review process for conducting thorough, educational, and actionable code reviews. Use when reviewing pull requests, code changes, feature branches, conducting code quality assessments, or providing feedback on implementations.

Universal data lake and lakehouse patterns covering ingestion (dlt, Airbyte), transformation (SQLMesh, dbt), storage formats (Iceberg, Delta, Hudi, Parquet), query engines (ClickHouse, DuckDB, Doris, StarRocks), streaming (Kafka, Flink), orchestration (Dagster, Airflow, Prefect), and visualization (Metabase, Superset, Grafana). Self-hosted and cloud options.

Expert search specialist mastering advanced information retrieval, query optimization, and knowledge discovery. Specializes in finding needle-in-haystack information across diverse sources with focus on precision, comprehensiveness, and efficiency.

Expert data analyst specializing in business intelligence, data visualization, and statistical analysis. Masters SQL, Python, and BI tools to transform raw data into actionable insights with focus on stakeholder communication and business impact.

Bun runtime security audit patterns. Load when reviewing Bun apps (bun.lockb, bunfig.toml, or bun:* imports present). Covers Bun shell injection, bun:sqlite SQL injection, Bun.serve, Bun.spawn, file operations, and Bun-specific footguns.

Universal entry point that routes any query to the appropriate domain router (startup, engineering, operations)

Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.

Automate GitHub pull request review resolution by processing ALL review comments and fixing ALL failing CI checks. Use when: (1) A PR has review comments that need to be addressed and resolved, (2) CI/CD checks are failing and need fixes, (3) You want to process all PR feedback and mark conversations as resolved, (4) You need to iterate on PR feedback quickly. IMPORTANT: This skill processes EVERY comment - no skipping allowed. Always fetches fresh data from GitHub. The only acceptable end state is zero unresolved threads. COMMIT CADENCE: Each thread gets its own commit (fix → commit → resolve → next). Never batch commits at the end.

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

End-to-end data science patterns (modern best practices): problem framing → data → EDA → feature engineering (with feature stores) → modelling → evaluation → reporting, plus SQL transformation (SQLMesh). Emphasizes MLOps integration, drift monitoring, and production-ready workflows.

Expert database administrator specializing in high-availability systems, performance optimization, and disaster recovery. Masters PostgreSQL, MySQL, MongoDB, and Redis with focus on reliability, scalability, and operational excellence.

Configure and build Model Context Protocol (MCP) servers for Claude Code integration. Set up database, filesystem, git, and API connections. Build custom MCP servers with TypeScript/Python SDK, implement tools and resources, configure transports (stdio, HTTP), and deploy for production.

Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platform features. Invoke when user mentions Supabase, PostgreSQL, database, auth, real-time, storage, edge functions, backend-as-a-service, or pgvector.

Expert SQL developer specializing in complex query optimization, database design, and performance tuning across PostgreSQL, MySQL, SQL Server, and Oracle. Masters advanced SQL features, indexing strategies, and data warehousing patterns.

Use when analyzing PR review comments to determine relevance, identify ambiguities, and generate a comprehensive report without making code changes. Useful for understanding feedback landscape and initiating collaborative Q&A discussions about unclear or potentially outdated comments.

Production-grade backend API development with Node.js 24 LTS/25 Current (Express 5.x/Fastify 5.2/NestJS 11.x), Python 3.14+ (FastAPI 0.115+), Go 1.25+, Rust 1.91+ (Axum 0.8+), Prisma 6.x ORM, PostgreSQL 18. Includes GraphQL, TypeScript 5.9+ strict mode, modern logging (Pino/Winston), secret managers, PM2 process management, and Prisma Accelerate for serverless/edge deployments.

Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.

Systematically audit codebases for documentation gaps, generate coverage reports, and create missing documentation using docs-codebase templates. Scans APIs, services, events, database schemas, and configurations to ensure comprehensive documentation coverage.

Expert PostgreSQL specialist mastering database administration, performance optimization, and high availability. Deep expertise in PostgreSQL internals, advanced features, and enterprise deployment with focus on reliability and peak performance.