sql-databases
2
control-sessions
Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations
teradata-labs
databases
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sql-databases
2
supabase-rls-policy
Expert guidance for writing Supabase PostgreSQL row-level security (RLS) policies. Use when creating, modifying, or troubleshooting RLS policies for Supabase databases, implementing access control patterns, or setting up table-level security rules.
linehaul-ai
databases
sql-databases
2
database-orm
Interaction with NeonDB Postgres using Drizzle ORM.
AbdulSamad94
databases
sql-databases
2
postgres-migrations
Write safe PostgreSQL migrations that avoid blocking reads/writes. Use when creating migrations, adding columns, indexes, constraints, or modifying tables. Based on Squawk linter rules.
frizzle-chan
databases
sql-databases
2
database-design
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
whodaniel
databases
sql-databases
2
db-designer
Generate database schema from feature descriptions. User doesn't see SQL. Use when: features require data persistence. Triggers: internal use only.
timequity
databases
sql-databases
2
neo4j-schema
Core Neo4j schema reference with all labels, relationships, data types, and indexes. Use when exploring database structure, checking field types, or understanding the financial knowledge graph schema.
faisalanjum
databases
sql-databases
2
bel-crm-sql-rules
CRITICAL: PostgreSQL MCP Server SQL limitations and correct patterns. This skill MUST be consulted before writing any SQL for the CRM database. Documents what works and what DOES NOT work with mcp__postgresql__ tools.
bennoloeffler
databases
sql-databases
2
database-design
Designs comprehensive database schemas including relational and NoSQL models, normalization, indexing strategies, relationship modeling, data types, constraints, and performance optimization. Covers entity-relationship diagrams, schema migrations, partitioning, and best practices for PostgreSQL, MySQL, MongoDB, and other databases. Use when designing databases, creating schemas, modeling data, optimizing queries, or when users mention "database design", "schema design", "data modeling", "ERD", "normalization", "indexing", or "database architecture".
DauQuangThanh
databases
sql-databases
2
lightfriend-db-migration
Step-by-step guide for modifying database schema using Diesel migrations
ahtavarasmus
databases
sql-databases
2
database-migration
DBマイグレーション支援。スキーマ変更やマイグレーション作成依頼時に使用。ORM自動検出、命名規則確認、既存マイグレーションとの整合性を検証。
ukwhatn
databases
sql-databases
2
database-patterns
Database operations: migrations, queries, transactions, and performance. Use when: - Writing database migrations - Optimizing queries or adding indexes - Managing transactions and connections - Setting up connection pooling - Designing audit logging Keywords: database, migration, SQL, query optimization, index, transaction, connection pool, N+1, ORM, audit log
phrazzld
databases
sql-databases
2
python-peewee
Patterns for using Peewee ORM with DatabaseProxy and scoped connections/transactions. Use when setting up DatabaseProxy, managing connection_context/atomic blocks, or writing tests with SQLite.
narumiruna
databases
sql-databases
2
rails-model-patterns
ActiveRecord model patterns and conventions for Rails. Automatically invoked when working with models, associations, validations, scopes, callbacks, or database schema design. Triggers on "model", "ActiveRecord", "association", "has_many", "belongs_to", "validation", "validates", "scope", "callback", "migration", "schema", "index", "foreign key".
ag0os
databases
sql-databases
1
data-analysis-sql
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
pluginagentmarketplace
databases
sql-databases
1
data-wrangler
Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the user wants to: (1) Clean, filter, or transform data, (2) Join multiple data sources, (3) Convert between formats (CSV→Parquet, etc.), (4) Create partitioned datasets, (5) Sample large datasets, (6) Export query results. Prefer this over in-context reasoning for datasets with thousands of rows or complex transformations.
richard-gyiko
databases
sql-databases
1
quick-query
Run ad-hoc MongoDB queries in natural language. Translates natural language queries into MongoDB queries and executes them. Use for quick data exploration, answering "how many" questions, finding specific records, or aggregating statistics.
harehimself
databases
sql-databases
1
sql-analysis
Master SQL for data analysis with complex queries, joins, aggregations, window functions, and query optimization.
spjoshis
databases
sql-databases
1
databases-sql
SQL database querying, optimization, and data management for analytics
pluginagentmarketplace
databases
sql-databases
1
sql-analytics
Master analytical SQL including window functions, CTEs, aggregations, and query optimization for BI workloads
pluginagentmarketplace
databases
sql-databases
1
duckdb
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
silvainfm
databases
sql-databases
1
database-migration
Safe database migration procedures with backward compatibility, backups, and rollback strategies. Use when creating, modifying, or dropping database schemas. Covers migration creation, testing, execution, and rollback.
HelloWorldSungin
databases
sql-databases
1
gcp-bq-table-management
Use when creating BigQuery tables, implementing partitioning or clustering, managing table schemas, or optimizing table structure. Covers time-based partitioning, range partitioning, clustering strategies, DDL commands, and table configuration.
FunnelEnvy
databases