1 633 database skills from 232 authors. They work on schemas, queries and moving data between them. Half of them fit into 2 236 tokens or less — that is what one costs your context window when the agent loads it. 285 ship runnable scripts rather than instructions alone. 7 of them cannot work without an MCP server, most often rube. We also found 383 copies of these same skills sitting in other people's repositories — counted once here, not 383 times.
1 633 unique 232 authors 712 updated this month 156 from vendors
>- Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, "why is my Neon bill so high", "database costs jumped", SELECT * optimization, query overfetching, reduce Neon costs, optimize database usage, or wants to reduce data sent from their database to their application. Also use when reviewing query patterns for cost efficiency, even if the user doesn't explicitly mention egress or data transfer.
老王我是后端通才，啥后端技术都能搞！但你得告诉老王你想用啥语言，别tm让老王我瞎猜！ 后端服务开发专家（通才）。精通多种后端技术栈，能够根据需求选择最合适的技术方案。 当用户需要开发API、数据库设计、微服务架构或后端业务逻辑时使用此技能。 根据用户需求的技术栈，自动切换到对应语言的专家模式：
Node.js后端开发专家。精通NestJS、Express、Koa等框架，以及TypeScript、Prisma、Redis等技术栈。
Database schema migration, versioning, and rollback management for SQL and NoSQL databases. Use when: (1) creating database migrations, (2) modifying table schemas, (3) adding/removing columns, (4) creating indexes, (5) data migrations, (6) rollback operations, (7) multi-environment sync, (8) seed data management. Supports PostgreSQL, MySQL, MongoDB, SQLite. Triggers: "migration", "alter table", "schema change", "database migration", "rollback migration", "knex", "prisma migrate", "flyway", "alembic".
DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conversion. Triggers on "duckdb", "sql", "query", "data analysis", "parquet", "convert data".
自动化 Notion 操作。当用户需要管理 Notion 页面、数据库、块内容、项目跟踪或进行内容组织和搜索时使用此技能。
Comprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.
Inspect Redis cache keys, values, and TTLs for debugging. Supports both main cache and system cache. Use for debugging cache issues, checking cached values, and monitoring cache state. Read-only by default.
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.
Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.
Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).
蒸馏antirez(Salvatore Sanfilippo)思维模式的实用框架——极简代码哲学、Redis设计哲学、工程美学
Implement and route HitKeep contributions through the repository-owned hk developer platform. Use for any HitKeep code, UI, API, database, analytics-feature, seed, screenshot, documentation, integration, or release-preparation change, as well as setup, local development, builds, smoke tests, and contributor workflow discovery.
GoFrame v2 development skill. Use only when the target Go project uses or is explicitly adopting GoFrame v2: the nearest go.mod requires github.com/gogf/gf/v2, existing Go files import github.com/gogf/gf/v2 or any github.com/gogf/gf/v2/... component package, or the user asks to scaffold, migrate, or build with GoFrame. Trigger for GoFrame-backed Go work such as APIs/controllers/services, middleware, routing/config, ORM/DAO/DO/entity/database operations, gf CLI/codegen, HTTP/gRPC services, and microservice conventions. Do not trigger for generic Go projects without GoFrame evidence, frontend-only work, shell scripts, or unrelated infrastructure tasks.
Load and parse CSV/TXT files from travel database for itinerary planning
Querying travel planning datasets (cities, restaurants, accommodations, attractions, distances) for itinerary generation.
Extract and validate travel data from CSV/TXT databases ensuring city-specific matching and constraint compliance.
Use this skill to understand the database file structure and how to search for Ohio cities, restaurants, accommodations, attractions, and distances in the provided dataset files for trip planning.
Use this skill to build a multi-day travel itinerary from structured requirements (origin, cities, dates, budget, constraints). It queries available database files and produces a day-by-day plan with transportation, meals, attractions, and accommodations.
Guidelines for selecting database-compliant restaurants, accommodations, and attractions based on specific user constraints like budget, pets, and cuisine.
Logic to parse nested security database objects into a scalar CVSS score for the final CSV report.
Instructions for querying the provided datasets to ensure constraints regarding pet-friendly lodging, specific cuisines, and valid locations are met.
Use this skill to query the local databases for distances, cities, accommodations, restaurants, and attractions to gather real-world data for an itinerary.
Parse and search travel-related databases including cities, accommodations, restaurants, attractions, and distances. Use this skill whenever building a travel itinerary that requires querying real-world data from CSV files or text databases. This skill helps extract relevant POIs, lodging, dining, and routing information from structured datasets.
Build multi-day travel itineraries in JSON format from database lookups. Use this skill when constructing day-by-day travel plans with transportation, meals, attractions, and accommodations.
Look up travel data from the local CSV/TXT database for cities, restaurants, accommodations, attractions, and distances. Use this skill whenever planning a trip, building an itinerary, or querying travel-related datasets in /app/data/.
Query and filter travel CSV datasets (restaurants, accommodations, attractions, distances) using Python. Use this skill whenever you need to extract specific records from the travel database files, check pet policies, filter by cuisine, look up driving times, or validate that a city exists in the dataset.
Build a structured multi-day travel itinerary JSON from real CSV datasets. Use this skill whenever the user asks to create a travel plan, trip itinerary, or vacation schedule from a local database of cities, restaurants, accommodations, and attractions.
How to query CSV datasets in /app/data to extract information like accommodations, attractions, and restaurants. Use this skill whenever you need to look up data from files in the /app/data directory.
How to filter tabular datasets. Use this skill whenever you need to process or filter CSV files, tabular data, or databases to find records that match specific criteria such as location, price, category, or flags (like pet-friendly).
Set up a PreToolUse hook in .claude/settings.json that blocks dangerous commands — rm -rf, force push, database drops, and others — before they execute. Teaches the pattern of safety hooks for any Claude Code project. Trigger words: safety, guard, block dangerous, protect, prevent destructive, safe mode, dangerous commands, risky operations.
Data persistence patterns in Go covering raw SQL with sqlx/pgx, ORMs like Ent and GORM, connection pooling, migrations with golang-migrate, and transaction management. Use when implementing database access, designing repositories, or managing schema migrations.
Reviews PostgreSQL code for indexing strategies, JSONB operations, connection pooling, and transaction safety. Use when reviewing SQL queries, database schemas, JSONB usage, or connection management.
Reviews sqlx database code for compile-time query checking, connection pool management, migration patterns, and PostgreSQL-specific usage. Use when reviewing Rust code that uses sqlx, database queries, connection pools, or migrations. Covers offline mode, type mapping, and transaction patterns.
DDEV local development environment patterns for Drupal, including configuration, commands, database management, debugging tools, and performance optimization.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Automate Snowflake data warehouse operations -- list databases, schemas, and tables, execute SQL statements, and manage data workflows via the Composio MCP integration.
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when...
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation ...
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
Database management, forms, reports, and data operations with LibreOffice Base.
Expert database administrator specializing in modern cloud databases, automation, and reliability engineering.
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data tr...