query-builder
Convert natural language questions into SQL queries. Activates when users ask data questions…
Database operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.
$ npx -y skills add clidey/whodb --skill whodb --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/whodbContext preview
The summary Claude sees to decide when to auto-load this skill.
Database operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.
name: whodb description: Database operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.
You have access to WhoDB for database operations. Use these tools and commands to help users with database tasks.
When the WhoDB MCP server is available, use these tools directly:
List all available database connections.
No parameters required. Returns: List of connection names with type and source (env/saved).
Execute SQL queries against a database.
Parameters: - connection: Connection name (optional if only one connection exists) - query: SQL query to execute Example: whodb_query(connection="mydb", query="SELECT * FROM users LIMIT 10")
List all schemas in a database.
Parameters: - connection: Connection name (optional if only one connection exists) - include_tables: Set true to also return tables within each schema (optional) Example: whodb_schemas(connection="mydb") Example: whodb_schemas(connection="mydb", include_tables=true)
List all tables in a schema.
Parameters: - connection: Connection name (optional if only one connection exists) - schema: Schema name (optional, uses default if not specified) - include_columns: Set true to also return column details for every table (optional) Example: whodb_tables(connection="mydb", schema="public") Example: whodb_tables(connection="mydb", schema="public", include_columns=true)
Describe columns in a table.
Parameters: - connection: Connection name (optional if only one connection exists) - table: Table name (required) - schema: Schema name (optional) Example: whodb_columns(connection="mydb", table="users")
If MCP tools are unavailable, use the CLI directly via Bash:
whodb query "SELECT * FROM users LIMIT 10" --connection mydb --format json
# List schemas whodb schemas --connection mydb --format json # List tables whodb tables --connection mydb --schema public --format json # Describe columns whodb columns --connection mydb --table users --format json
# List connections whodb connections list --format json # Test connection whodb connections test mydb # Add new connection (interactive) whodb connections add --name mydb --type Postgres --host localhost --database mydb
# Export to CSV whodb export --connection mydb --table users --output users.csv # Export query results whodb export --connection mydb --query "SELECT * FROM orders" --output orders.xlsx
1. List connections: `whodb_connections` 2. Get tables with columns in one call: `whodb_tables(connection="name", include_columns=true)` 3. Sample data: `whodb_query(connection="name", query="SELECT * FROM users LIMIT 5")`
Query results include `column_types` alongside column names, so you know the data types without a separate call.
1. List connections: `whodb_connections` 2. Get all schemas with tables: `whodb_schemas(connection="name", include_tables=true)` 3. Get columns for the schema you care about: `whodb_tables(connection="name", schema="public", include_columns=true)` 4. Query: `whodb_query(connection="name", query="SELECT * FROM users LIMIT 5")`
1. Understand the schema first - check table structure 2. Write targeted queries with appropriate filters 3. Always use LIMIT for exploratory queries 4. Present results in a clear, readable format
Repo: clidey/whodb
Convert natural language questions into SQL queries. Activates when users ask data questions…
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