Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes.
Usage
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
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.
Scripts
get_query_metrics
Fetches query level cloudmonitoring data (timeseries metrics) for queries running in Mysql 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 skill, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for Mysql 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:
Interval: Use a default interval of 5m for _over_time aggregation functions unless a different window is specified by the user.
PromQL Query Examples:
Basic Time Series: avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m])
Top K: topk(30, avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))
Percentile with groupby on resource_id, database: quantile by ("resource_id","database")(0.99,avg_over_time({"__name__"="dbinsights.googleapis.com/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.
dbinsights.googleapis.com/aggregate/latencies: Cumulative query latency distribution per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.
dbinsights.googleapis.com/aggregate/execution_time: Cumulative query execution time per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.
dbinsights.googleapis.com/aggregate/execution_count: Total number of query executions per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.
dbinsights.googleapis.com/aggregate/lock_time: Cumulative lock wait time per user and database. cloudsql_instance_database. user, client_addr, lock_type, database, project_id, resource_id.
dbinsights.googleapis.com/aggregate/io_time: Cumulative IO wait time per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.
dbinsights.googleapis.com/aggregate/row_count: Total number of rows affected during query execution. cloudsql_instance_database. user, client_addr, row_status, database, project_id, resource_id.
dbinsights.googleapis.com/perquery/latencies: Cumulative query latency distribution per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, , .
Parameters
Name
Type
Description
Required
Default
projectId
string
The Id of the Google Cloud project.
Yes
query
string
The promql query to execute.
Yes
get_query_plan
Provide information about how MySQL executes a SQL statement. Common use cases include: 1) analyze query plan to improve its performance, and 2) determine effectiveness of existing indexes and evalueate new ones.
Parameters
Name
Type
Description
Required
Default
sql_statement
string
The sql statement to explain.
Yes
get_system_metrics
Fetches system level cloudmonitoring data (timeseries metrics) for a MySQL 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 skill, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for MySQL system metrics. Use the provided metrics and rules to construct queries, Get the labels like instance_id from user intent.
Defaults:
Interval: Use a default interval of 5m for _over_time aggregation functions unless a different window is specified by the user.
PromQL Query Examples:
Basic Time Series: 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])
Top K: 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]))
Percentile with groupby on database_id: 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/cpu/utilization: Current CPU utilization as a percentage of reserved CPU. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/network/connections: Number of connections to the database 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. database, project_id, database_id.
cloudsql.googleapis.com/database/network/sent_bytes_count: Delta count of bytes sent through the network. cloudsql_database. destination, database, project_id, database_id.
cloudsql.googleapis.com/database/memory/components: Memory usage for components like usage, cache, and free memory. cloudsql_database. component, database, project_id, database_id.
cloudsql.googleapis.com/database/disk/bytes_used_by_data_type: Data utilization in bytes. cloudsql_database. data_type, database, project_id, database_id.
cloudsql.googleapis.com/database/disk/read_ops_count: Delta count of data disk read IO operations. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/disk/write_ops_count: Delta count of data disk write IO operations. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/queries: Delta count of statements executed by the server. cloudsql_database. database, project_id, .
Parameters
Name
Type
Description
Required
Default
projectId
string
The Id of the Google Cloud project.
Yes
query
string
The promql query to execute.
Yes
list_active_queries
Lists top N (default 10) ongoing queries from processlist and innodb_trx, ordered by execution time in descending order. Returns detailed information of those queries in json format, including process id, query, transaction duration, transaction wait duration, process time, transaction state, process state, username with host, transaction rows locked, transaction rows modified, and db schema.
Parameters
Name
Type
Description
Required
Default
min_duration_secs
integer
Optional: Only show queries running for at least this long in seconds
No
0
limit
integer
Optional: The maximum number of rows to return.
No
100
list_table_fragmentation
List table fragmentation in MySQL, by calculating the size of the data and index files and free space allocated to each table. The query calculates fragmentation percentage which represents the proportion of free space relative to the total data and index size. Storage can be reclaimed for tables with high fragmentation using OPTIMIZE TABLE.
Parameters
Name
Type
Description
Required
Default
table_schema
string
(Optional) The database where fragmentation check is to be executed. Check all tables visible to the current user if not specified
No
``
table_name
string
(Optional) Name of the table to be checked. Check all tables visible to the current user if not specified.
No
``
data_free_threshold_bytes
integer
(Optional) Only show tables with at least this much free space in bytes. Default is 1
No
1
limit
integer
(Optional) Max rows to return, default is 10
No
10
list_table_stats
Display table statistics including table size, total latency, rows read, rows written, read and write latency for entire instance, a specified database, or a specified table. Specifying a database name or table name filters the output to that specific db or table. Results are limited to 10 by default.
Parameters
Name
Type
Description
Required
Default
table_schema
string
(Optional) The database where statistics is to be executed. Check all tables visible to the current user if not specified
No
``
table_name
string
(Optional) Name of the table to be checked. Check all tables visible to the current user if not specified.
No
``
sort_by
string
(Optional) The column to sort by
No
``
limit
integer
(Optional) Max rows to return, default is 10
No
10
connected_schema
string
(Optional) The connected db
No
list_tables_missing_unique_indexes
Find tables that do not have primary or unique key constraint. A primary key or unique key is the only mechanism that guaranttes a row is unique. Without them, the database-level protection against data integrity issues will be missing.
Parameters
Name
Type
Description
Required
Default
table_schema
string
(Optional) The database where the check is to be performed. Check all tables visible to the current user if not specified
No
``
limit
integer
(Optional) Max rows to return, default is 50
No
50
project_id
resource_id
dbinsights.googleapis.com/perquery/execution_time: Cumulative query execution time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.
dbinsights.googleapis.com/perquery/execution_count: Total number of query executions per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.
dbinsights.googleapis.com/perquery/lock_time: Cumulative lock wait time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, lock_type, query_hash, database, project_id, resource_id.
dbinsights.googleapis.com/perquery/io_time: Cumulative io wait time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.
dbinsights.googleapis.com/perquery/row_count: Total number of rows affected during query execution. cloudsql_instance_database. querystring, user, client_addr, query_hash, row_status, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/latencies: Cumulative query latency distribution per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/execution_time: Cumulative query execution time per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/execution_count: Total number of query executions per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/lock_time: Cumulative lock wait time per user, database and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, lock_type, tag_hash, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/io_time: Cumulative IO wait time per user, database and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.
dbinsights.googleapis.com/pertag/row_count: Total number of rows affected during query execution. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, row_status, database, project_id, resource_id.
database_id
cloudsql.googleapis.com/database/mysql/questions: Delta count of statements sent by the client. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/received_bytes_count: Delta count of bytes received by MySQL process. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/sent_bytes_count: Delta count of bytes sent by MySQL process. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_dirty: Number of unflushed pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_free: Number of unused pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_total: Total number of pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/innodb_os_log_fsyncs: Delta count of InnoDB fsync() calls to the log file. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/open_tables: The number of tables that are currently open. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/opened_table_count: The number of tables opened since the last sample. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/open_table_definitions: The number of table definitions currently cached. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/opened_table_definitions_count: The number of table definitions cached since the last sample. cloudsql_database. database, project_id, database_id.
cloudsql.googleapis.com/database/mysql/innodb/dictionary_memory: Memory allocated for the InnoDB dictionary cache. cloudsql_database. database, project_id, database_id.
