数据库
数据库管理与查询
agent-tool-builder
ngxtm
"Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessar..."
Schema
andrueandersoncs
This skill should be used when the user asks about "Effect Schema", "Schema.Struct", "Schema.decodeUnknown", "data validation", "parsing", "Schema.transform", "Schema filters", "Schema annotations", "JSON Schema", "Schema.Class", "Schema branded types", "encoding", "decoding", "Schema.parseJson", or needs to understand how Effect handles data validation and transformation.
backend
miles990
Backend development with Node.js, Express, NestJS, and server patterns
saas-platforms
miles990
SaaS architecture, multi-tenancy, and subscription management
codebase-context
jsegov
This skill should be used when the user asks to "analyze the codebase", "understand the tech stack", "extract project patterns", "get codebase context", "what technologies are used", or when preparing context for planning documents, PRDs, or design documentation.
performance-optimization
miles990
Profiling, optimization techniques, and performance best practices
grepai-storage-postgres
yoanbernabeu
Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.
data-design
miles990
Data modeling, schema design, and data architecture
system-design
miles990
Scalability, availability, and distributed systems design
agent-prompts
jsegov
This skill should be used when the user asks to "generate tasks", "create implementation plan", "break down feature", "write agent prompts", "decompose into tasks", "create work items", or when creating agent-ready task descriptions from PRD and SDD documents.
sql
miles990
SQL patterns for database querying and design
research
jsegov
This skill should be used when the user asks to "research documentation", "find framework docs", "search for best practices", "look up API documentation", "find implementation patterns", "research how to implement", or when gathering external technical knowledge to inform planning or design decisions.
grepai-config-reference
yoanbernabeu
Complete configuration reference for GrepAI. Use this skill when you need to understand all available configuration options.
e-commerce
miles990
E-commerce platforms, payment processing, and shopping cart patterns
database
miles990
Database design, SQL, NoSQL, and data management patterns
sqlite-tools
huangzt
"SQLite 数据库工具集，用于操作 SQLite 数据库文件。支持 .db、.sqlite、.sqlite3、.vscdb 等常见扩展名。无需额外安装依赖，使用 Python 内置 sqlite3 模块。支持 Windows、macOS 和 Linux 平台。"
mssql-tools
huangzt
"SQL Server (MSSQL) 数据库工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作 SQL Server 数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 server、port、user、password、database 等连接信息，可代替 mssql mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
mysql-tools
huangzt
"MySQL 数据库工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作 MySQL 数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 host、port、user、password、database 等连接信息，可代替 mysql mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
dm8-tools
huangzt
"达梦数据库(DM8)工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作达梦数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 host、port、user、password、database、schema 等连接信息，可代替 dm8 mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
duckdb
tondevrel
An analytical in-process SQL database management system. Designed for fast analytical queries (OLAP). Highly interoperable with Python's data ecosystem (Pandas, NumPy, Arrow, Polars). Supports querying files (CSV, Parquet, JSON) directly without an ingestion step. Use for complex SQL queries on Pandas/Polars data, querying large Parquet/CSV files directly, joining data from different sources, analytical pipelines, local datasets too big for Excel, intermediate data storage and feature engineering for ML.
polars
tondevrel
Blazingly fast DataFrame library written in Rust. Features a multi-threaded query engine, lazy evaluation, and efficient memory usage via Apache Arrow. Designed for high-performance data processing on a single machine. Use for large datasets (1GB-100GB+), fast data transformations, Parquet/CSV processing, complex query pipelines, memory-efficient operations, and when speed is critical (10-100x faster than pandas).
supabase-realtime
Nice-Wolf-Studio
Subscribe to realtime changes in Supabase using WebSocket connections. Use for listening to database changes, presence tracking, and broadcast messaging.
JQL Patterns Skill
yebot
Document organization-specific patterns
oxmysql
germanfndez
OxMySQL for FiveM — SQL integrations with MySQL/MariaDB. Use when writing or editing server-side database code: queries, inserts, updates, transactions, or any resource that uses oxmysql (query, insert, prepare, update, single, scalar, rawExecute, transaction). Docs: https://coxdocs.dev/oxmysql