// Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.
| name | cloud-sql-postgres-health |
| description | Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum. |
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
Bash:
node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell:
node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Fetches query level cloudmonitoring data (timeseries metrics) for queries running in Postgres instance using a PromQL query. Take projectID and instanceID from the user for which the metrics timeseries data needs to be fetched.
To use this tool, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for Postgres query metrics. Use the provided metrics and rules to construct queries, Get the labels like instance_id, query_hash from user intent. If query_hash is provided then use the per_query metrics. Query hash and query id are same.
Defaults:
5m for _over_time aggregation functions unless a different window is specified by the user.PromQL Query Examples:
avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m])topk(30, avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))avg(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))min(min_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))max(max_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))sum(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))count(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))quantile by ("resource_id","database")(0.99,avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))Available Metrics List: metricname. description. monitored resource. labels. resource_id label format is project_id:instance_id which is actually instance id only. aggregate is the aggregated values for all query stats, Use aggregate metrics if query id is not provided. For perquery metrics do not fetch querystring unless specified by user specifically. Have the aggregation on query hash to avoid fetching the querystring. Do not use latency metrics for anything.
cloudsql.googleapis.com/database/postgresql/insights/aggregate/latencies: Aggregated query latency distribution. cloudsql_instance_database. user, client_addr, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time: Accumulated aggregated query execution time since the last sample. cloudsql_instance_database. user, client_addr, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/aggregate/io_time: Accumulated aggregated IO time since the last sample. cloudsql_instance_database. user, client_addr, io_type, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/aggregate/lock_time: Accumulated aggregated lock wait time since the last sample. cloudsql_instance_database. user, client_addr, lock_type, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/aggregate/row_count: Aggregated number of retrieved or affected rows since the last sample. cloudsql_instance_database. user, client_addr, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/aggregate/shared_blk_access_count: Aggregated shared blocks accessed by statement execution. cloudsql_instance_database. user, client_addr, access_type, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/latencies: Per query latency distribution. cloudsql_instance_database. user, client_addr, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/execution_time: Accumulated execution times per user per database per query. cloudsql_instance_database. user, client_addr, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/io_time: Accumulated IO time since the last sample per query. cloudsql_instance_database. user, client_addr, io_type, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/lock_time: Accumulated lock wait time since the last sample per query. cloudsql_instance_database. user, client_addr, lock_type, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/row_count: The number of retrieved or affected rows since the last sample per query. cloudsql_instance_database. user, client_addr, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/perquery/shared_blk_access_count: Shared blocks accessed by statement execution per query. cloudsql_instance_database. user, client_addr, access_type, querystring, query_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/latencies: Query latency distribution. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/execution_time: Accumulated execution times since the last sample. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/io_time: Accumulated IO time since the last sample per tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, io_type, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/lock_time: Accumulated lock wait time since the last sample per tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, lock_type, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/shared_blk_access_count: Shared blocks accessed by statement execution per tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, access_type, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/row_count: The number of retrieved or affected rows since the last sample per tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, project_id, resource_id.| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| projectId | string | The Id of the Google Cloud project. | Yes | |
| query | string | The promql query to execute. | Yes |
Generate a PostgreSQL EXPLAIN plan in JSON format for a single SQL statement—without executing it. This returns the optimizer's estimated plan, costs, and rows (no ANALYZE, no extra options). Use in production safely for plan inspection, regression checks, and query tuning workflows.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| query | string | The SQL statement for which you want to generate plan (omit the EXPLAIN keyword). | Yes |
Fetches system level cloudmonitoring data (timeseries metrics) for a Postgres instance using a PromQL query. Take projectId and instanceId from the user for which the metrics timeseries data needs to be fetched.
To use this tool, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for Postgres system metrics. Use the provided metrics and rules to construct queries, Get the labels like instance_id from user intent.
Defaults:
5m for _over_time aggregation functions unless a different window is specified by the user.PromQL Query Examples:
avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m])topk(30, avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))avg(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))min(min_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))max(max_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))sum(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))count(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))quantile by ("database_id")(0.99,avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))Available Metrics List: metricname. description. monitored resource. labels. database_id is actually the instance id and the format is project_id:instance_id.
cloudsql.googleapis.com/database/postgresql/new_connection_count: Count of new connections added to the postgres instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/backends_in_wait: Number of backends in wait in postgres instance. cloudsql_database. backend_type, wait_event, wait_event_type, project_id, database_id.cloudsql.googleapis.com/database/postgresql/transaction_count: Delta count of number of transactions. cloudsql_database. database, transaction_type, project_id, database_id.cloudsql.googleapis.com/database/memory/components: Memory stats components in percentage as usage, cache and free memory for the database. cloudsql_database. component, project_id, database_id.cloudsql.googleapis.com/database/postgresql/external_sync/max_replica_byte_lag: Replication lag in bytes for Postgres External Server (ES) replicas. Aggregated across all DBs on the replica. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/cpu/utilization: Current CPU utilization represented as a percentage of the reserved CPU that is currently in use. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0). Charts display the values as a percentage between 0% and 100% (or more). cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/disk/bytes_used_by_data_type: Data utilization in bytes. cloudsql_database. data_type, project_id, database_id.cloudsql.googleapis.com/database/disk/read_ops_count: Delta count of data disk read IO operations. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/disk/write_ops_count: Delta count of data disk write IO operations. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends_by_state: Number of connections to the Cloud SQL PostgreSQL instance, grouped by its state. cloudsql_database. database, state, project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends: Number of connections to the Cloud SQL PostgreSQL instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/network/received_bytes_count: Delta count of bytes received through the network. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/network/sent_bytes_count: Delta count of bytes sent through the network. cloudsql_database. destination, project_id, database_id.cloudsql.googleapis.com/database/postgresql/deadlock_count: Number of deadlocks detected for this database. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/blocks_read_count: Number of disk blocks read by this database. The source field distingushes actual reads from disk versus reads from buffer cache. cloudsql_database. database, source, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuples_processed_count: Number of tuples(rows) processed for a given database for operations like insert, update or delete. cloudsql_database. operation_type, database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuple_size: Number of tuples (rows) in the database. cloudsql_database. database, tuple_state, project_id, database_id.cloudsql.googleapis.com/database/postgresql/vacuum/oldest_transaction_age: Age of the oldest transaction yet to be vacuumed in the Cloud SQL PostgreSQL instance, measured in number of transactions that have happened since the oldest transaction. cloudsql_database. oldest_transaction_type, project_id, database_id.cloudsql.googleapis.com/database/replication/log_archive_success_count: Number of successful attempts for archiving replication log files. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/replication/log_archive_failure_count: Number of failed attempts for archiving replication log files. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/transaction_id_utilization: Current utilization represented as a percentage of transaction IDs consumed by the Cloud SQL PostgreSQL instance. Values are typically numbers between 0.0 and 1.0. Charts display the values as a percentage between 0% and 100% . cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends_by_application: Number of connections to the Cloud SQL PostgreSQL instance, grouped by applications. cloudsql_database. application, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuples_fetched_count: Total number of rows fetched as a result of queries per database in the PostgreSQL instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuples_returned_count: Total number of rows scanned while processing the queries per database in the PostgreSQL instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/temp_bytes_written_count: Total amount of data (in bytes) written to temporary files by the queries per database. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/temp_files_written_count: Total number of temporary files used for writing data while performing algorithms such as join and sort. cloudsql_database. database, project_id, database_id.| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| projectId | string | The Id of the Google Cloud project. | Yes | |
| query | string | The promql query to execute. | Yes |
List the top N (default 50) currently running queries (state='active') from pg_stat_activity, ordered by longest-running first. Returns pid, user, database, application_name, client_addr, state, wait_event_type/wait_event, backend/xact/query start times, computed query_duration, and the SQL text.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| min_duration | string | Optional: Only show queries running at least this long (e.g., '1 minute', '1 second', '2 seconds'). | No | 1 minute |
| exclude_application_names | string | Optional: A comma-separated list of application names to exclude from the query results. This is useful for filtering out queries from specific applications (e.g., 'psql', 'pgAdmin', 'DBeaver'). The match is case-sensitive. Whitespace around commas and names is automatically handled. If this parameter is omitted, no applications are excluded. | No | `` |
| limit | integer | Optional: The maximum number of rows to return. | No | 50 |
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| database_name | string | Optional: A specific database name pattern to search for. | No | `` |
| include_templates | boolean | Optional: Whether to include template databases in the results. | No | false |
| database_owner | string | Optional: A specific database owner name pattern to search for. | No | `` |
| default_tablespace | string | Optional: A specific default tablespace name pattern to search for. | No | `` |
| order_by | string | Optional: The field to order the results by. Valid values are 'size' and 'commit'. | No | `` |
| limit | integer | Optional: The maximum number of rows to return. | No | 10 |
Identifies all locks held by active processes showing the process ID, user, query text, and an aggregated list of all transactions and specific locks (relation, mode, grant status) associated with each process.
Lists performance statistics for executed queries ordered by total time, filtering by database name pattern if provided. This tool requires the pg_stat_statements extension to be installed. The tool returns the database name, query text, execution count, timing metrics (total, min, max, mean), rows affected, and buffer cache I/O statistics (hits and reads).
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| database_name | string | Optional: The database name to list query stats for. | No | `` |
| limit | integer | Optional: The maximum number of results to return. Defaults to 50. | No | 50 |
Identifies and lists database transactions that exceed a specified time limit. For each of the long running transactions, the output contains the process id, database name, user name, application name, client address, state, connection age, transaction age, query age, last activity age, wait event type, wait event, and query string.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| min_duration | string | Optional: Only show transactions running at least this long (e.g., '1 minute', '15 minutes', '30 seconds'). | No | 5 minutes |
| limit | integer | Optional: The maximum number of long-running transactions to return. Defaults to 20. | No | 20 |
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
Use these skills when you need to provision new Cloud SQL instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.
Use these skills when you need to explore the database structure, discover schema objects like views or stored procedures, and execute custom SQL queries to interact with your data.
Use these skills when you need to manage the lifecycle of your instances, including performing backups and restores, checking major version upgrade compatibility, and monitoring overall instance status.
Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
Use these skills when you need to monitor replication health, manage sync states between nodes, and audit database roles and security settings to ensure environment integrity.