'database' 검색 결과

Expert at evolving database schemas safely. Covers migration strategies, zero-downtime deployments, rollback planning, and data transformation. Knows how to change production schemas without breaking running applications. Use when "database migration, schema change, add column, alter table, drizzle migrate, prisma migrate, zero downtime migration, rollback migration, database, migrations, schema, drizzle, prisma, postgresql, zero-downtime" mentioned.

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Use when a test needs a database - spin up a dedicated, disposable test database (Testcontainers) seeded with known data, never a shared or production database

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Nexscope Product Database multi-condition filtering. Filter Amazon products by category, price, sales volume, revenue, reviews, rating, weight, BSR rank, LQS, seller type, and more across 10 marketplaces. Trigger when users mention Amazon product selection, product database filtering, BSR rank filtering, category-based product discovery, high-rating low-competition products, FBA product search, Amazon product discovery, or similar terms. Even if the user does not explicitly mention "Nexscope" or "product database," trigger this skill whenever the request involves filtering Amazon products by multiple criteria or discovering potential products.

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Database reconnaissance — full inventory of schema, migrations, data volume, backups, connection pooling, and query patterns. Use when asked to "assess this database", "understand the schema", or "database health check".

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Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).

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Configure and manage Supabase projects using MCP (Model Context Protocol). Use this skill when working with Supabase databases, setting up MCP servers, designing database schemas, implementing Row Level Security, managing migrations, or building modern data architectures with PostgreSQL. Essential for Supabase development, database design, and AI-powered database operations.

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Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.

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Install, configure, and work with Turso DB — an in-process SQLite-compatible relational database engine written in Rust. Use when the user needs to (1) install Turso DB, (2) create or query databases with the tursodb CLI shell, (3) use Turso from JavaScript/Node.js via @tursodatabase/database, (4) work with vector search or embeddings in Turso, (5) set up full-text search with FTS indexes, (6) configure transactions including MVCC concurrent transactions, (7) enable encryption at rest, or (8) use Change Data Capture (CDC) for audit logging.

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Plan database migrations before executing them: risk assessment, dependency mapping, multi-service sequencing, rollback budgets, and stakeholder communication plans. Use when deciding HOW to migrate, not when writing the actual DDL. NOT for: writing migration SQL (use database-migration-manager), data ETL pipelines (use data-migration-specialist), query optimization, or ORM configuration.

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Create and manage database migrations with reversible changes, proper naming conventions, and zero-downtime deployment strategies. Use this skill when creating database migration files, modifying schema, adding or removing tables/columns, managing indexes, or handling data migrations. Apply when working with migration files (e.g., db/migrate/, migrations/, alembic/, sequelize migrations), schema changes, database versioning, rollback implementations, or when you need to ensure backwards compatibility during deployments. Use for any task involving database structure changes, index creation, constraint modifications, or data transformation scripts.

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要件定義と実装の間を埋める技術仕様書を体系的に作成するスキル。 画面設計、API設計、DB設計、シーケンス図、状態遷移図をMermaid形式で生成し、 IEEE 830/ISO 29148準拠の仕様書を出力する。Use when creating functional specifications, API design documents, database design documents, screen design specifications, or sequence/state diagrams from requirements. Triggers: "technical specification", "functional spec", "API design", "database design", "screen design", "画面設計書", "API設計書", "DB設計書", "技術仕様書", "シーケンス図", "状態遷移図"

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Design database schemas with normalization, relationships, and constraints. Use when creating new database schemas, designing tables, or planning data models for any database paradigm.

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Read data from Lyrion's SQLite databases — library stats, stored lyrics, album covers, recent plays. Use this whenever a task queries `library.db` or `persist.db`, adds or changes a statistic, or touches `services/database.py`. Covers the read-only connection model (RO open + `ATTACH persist.db`), the key tables, the `play_counts` view over the Alternative Play Count plugin, the single-flight stats cache, and why the app must never write to these DBs. Reach for it before writing any SQL against the Lyrion databases.

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Query protein-protein and gene interaction databases (STRING, BioGRID, IntAct, SIGNOR, Reactome, HuRI, HuMAP, OmniPath, ConsensusPathDB, DIP). Use when building PPI networks, choosing between physical vs functional vs genetic interactions, signed/directed vs undirected, high-throughput vs curated, picking confidence thresholds, aggregating across resources, or navigating license constraints. Encodes the database decision matrix, STRING v12 channel semantics, OmniPath as meta-database, SIGNOR for signed signaling, and per-resource rate limits.

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Build local BLAST databases and run searches using NCBI BLAST+ command-line tools. Use when running >50 queries, building custom databases with -parse_seqids and -taxid, downloading prebuilt NCBI databases via update_blastdb.pl, choosing -task variants (megablast/dc-megablast/blastn/blastn-short), tuning soft/hard masking, scaling threads, or extracting hits with blastdbcmd. Encodes BLAST v5 vs v4 database format, taxonomy filtering, makeblastdb pitfalls.

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Use Neon serverless Postgres with branching, connection pooling, and instant scalability for modern applications with Prisma or Drizzle ORM integration. Use when setting up serverless Postgres databases, implementing database branching for preview environments, configuring connection pooling, optimizing for serverless cold starts, using Prisma with Neon, implementing database migrations, scaling databases automatically, or building applications on Vercel/Netlify with Postgres.

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Build local BLAST databases and run searches using NCBI BLAST+ command-line tools. Use when running >50 queries, building custom databases with -parse_seqids and -taxid, downloading prebuilt NCBI databases via update_blastdb.pl, choosing -task variants (megablast/dc-megablast/blastn/blastn-short), tuning soft/hard masking, scaling threads, or extracting hits with blastdbcmd. Encodes BLAST v5 vs v4 database format, taxonomy filtering, makeblastdb pitfalls.

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Query protein-protein and gene interaction databases (STRING, BioGRID, IntAct, SIGNOR, Reactome, HuRI, HuMAP, OmniPath, ConsensusPathDB, DIP). Use when building PPI networks, choosing between physical vs functional vs genetic interactions, signed/directed vs undirected, high-throughput vs curated, picking confidence thresholds, aggregating across resources, or navigating license constraints. Encodes the database decision matrix, STRING v12 channel semantics, OmniPath as meta-database, SIGNOR for signed signaling, and per-resource rate limits.

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Plan database migrations before executing them: risk assessment, dependency mapping, multi-service sequencing, rollback budgets, and stakeholder communication plans. Use when deciding HOW to migrate, not when writing the actual DDL. NOT for: writing migration SQL (use database-migration-manager), data ETL pipelines (use data-migration-specialist), query optimization, or ORM configuration.

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Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

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로컬에 저장한 Notion 페이지를 검색하고 데이터베이스 목록, 페이지 수, 동기화 상태를 확인합니다. 필요하면 데이터를 갱신하거나 Markdown 파일을 내보냅니다.

• 저장한 Notion 페이지를 찾습니다
• 데이터베이스 목록과 보고서를 확인합니다
• SQL로 저장된 페이지 수를 셉니다

운영 데이터베이스의 구조 변경과 기존 데이터 이전을 계획합니다. 열과 인덱스 추가, 단계적 전환, 복구 절차를 정리하고 중단 시간과 잠금을 고려한 변경을 돕습니다.

• 운영 테이블에 열이나 인덱스 추가
• 대량 데이터의 분할 갱신
• 앱을 중단하지 않고 열 교체

Java의 tinystruct로 터미널과 웹에서 함께 호출할 기능을 구현합니다. 시작 스크립트 생성부터 API, 데이터 저장, 테스트까지 개발 절차를 안내합니다.

• 터미널과 웹에서 사용할 기능 구현
• 누락된 시작 스크립트 생성
• JSON API와 데이터 저장 구현

Node.js, Express, Next.js의 API와 데이터 처리를 설계하고 검토합니다. 역할 분리, 데이터베이스 최적화, 캐시와 인증 구현 예시를 제공합니다.

• API를 설계하고 처리 역할을 나눕니다
• 데이터베이스 질의 횟수를 줄입니다
• 데이터 조회에 캐시를 추가합니다