// PostgreSQL database inspection and queries. Use when investigating table schemas, running queries, checking locks, replication status, or long-running queries.
| name | database-postgresql |
| description | PostgreSQL database inspection and queries. Use when investigating table schemas, running queries, checking locks, replication status, or long-running queries. |
| allowed-tools | Bash(python *) |
IMPORTANT: Uses DATABASE_URL or individual POSTGRES_HOST/POSTGRES_PORT/POSTGRES_DATABASE/POSTGRES_USER/POSTGRES_PASSWORD environment variables.
Configuration environment variables you CAN check (non-secret):
POSTGRES_HOST - Database hostPOSTGRES_PORT - Database port (default: 5432)POSTGRES_DATABASE - Database namePOSTGRES_SCHEMA - Default schema (default: public)Understand the schema before running queries.
LIST TABLES → DESCRIBE TABLE → EXECUTE QUERY → CHECK HEALTH
All scripts are in .claude/skills/database-postgresql/scripts/
python .claude/skills/database-postgresql/scripts/list_tables.py [--schema public]
python .claude/skills/database-postgresql/scripts/describe_table.py --table TABLE_NAME [--schema public]
python .claude/skills/database-postgresql/scripts/execute_query.py --query "SELECT * FROM users WHERE created_at > now() - interval '1 hour'" [--limit 100]
python .claude/skills/database-postgresql/scripts/list_indexes.py [--table TABLE_NAME] [--schema public]
python .claude/skills/database-postgresql/scripts/get_table_sizes.py [--table TABLE_NAME] [--schema public]
python .claude/skills/database-postgresql/scripts/get_locks.py
python .claude/skills/database-postgresql/scripts/get_replication_status.py
python .claude/skills/database-postgresql/scripts/get_long_running_queries.py [--min-duration 60]
1. get_locks.py (find blocking relationships)
2. get_long_running_queries.py --min-duration 30
3. execute_query.py --query "SELECT * FROM pg_stat_activity WHERE state = 'active'"
1. get_replication_status.py (check lag_bytes/lag_seconds)
2. get_long_running_queries.py (queries blocking replication)
1. get_table_sizes.py (find largest tables)
2. list_indexes.py --table <table> (check index health)
3. describe_table.py --table <table>
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