ClickHouse System Queries Skill
SkillDatabases & dataQuery ClickHouse system tables to inspect query logs, monitor cluster health, check replication status, and analyze slow queries. Use when the user mentions "system tables", "query_log", "ClickHouse monitoring", "cluster status", "slow queries", or asks to diagnose ClickHouse operational issues.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the ClickHouse System Queries Skill skill
What this skill tells your AI
The instructions your AI receives, as published by frankchen021/datastoria in resources/skills/clickhouse-system-queries/SKILL.md and read by ahel’s review.
Use this skill when the user asks for operational inspection on ClickHouse system.* tables.
Current table coverage:
system.query_logviareferences/system-query-log.md
Relationship to sql-expert:
sql-experthandles general SQL generation and user/business tables.- This skill handles system-table operational patterns and routing to table-specific references.
System Metrics and ProfileEvents
- Confirm column shape from schema/reference before writing predicates.
- If the user named an exact metric, pass it in the
columnslist viaexplore_schemainstead of loading the full table schema. - If
ProfileEventsis aMap, access entries asProfileEvents['Name']. If flattened, useProfileEvent_Name.
Example — map vs flattened access:
-- Map access
SELECT ProfileEvents['DistributedConnectionFailTry'] AS fails
FROM system.query_log WHERE event_date = today();
-- Flattened column access
SELECT ProfileEvent_DistributedConnectionFailTry AS fails
FROM system.query_log WHERE event_date = today();
Workflow
-
Resolve target — identify system table and intent. Inherit the most recent time window from conversation, or default to last 60 minutes.
-
Load reference — for
system.query_log, callskill_resourceto loadreferences/system-query-log.mdbefore writing any SQL. For unsupported tables, fall back tosql-expert. -
Execute — choose the right tool:
search_query_logfor standard ranked searches and filtered lookupsexecute_sqlfor visualization, time-bucketed aggregation, trends, or histograms
-- search_query_log: standard lookup -- finds top 10 slowest queries in the last hour -- execute_sql: time-bucketed visualization SELECT toStartOfFiveMinutes(event_time) AS bucket, count() AS queries, avg(query_duration_ms) AS avg_ms FROM system.query_log WHERE event_date = today() AND event_time > now() - INTERVAL 1 HOUR GROUP BY bucket ORDER BY bucketDefault to
LIMIT 50unless the user specifies otherwise. -
Summarize with concise findings and next actions.
Guardrails
- Always apply time bounds for log-like system tables
- Always use the table-specific reference when available
- Never generate
system.query_logSQL untilreferences/system-query-log.mdis loaded in the current turn - Never use
search_query_logfor chart-oriented requests - Never omit
LIMITin exploratory queries
Signals
- GitHub stars
- 327
- Forks
- 18
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
clickhouse-system-queries- Source
- github.com/frankchen021/datastoria