clickhouse-managed-postgres-rca — Claude Code skill
Investigates performance issues on ClickHouse-managed Postgres via Prometheus metrics and Slow Query Patterns API, recommending fixes without running them.
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a claude-codeWhat clickhouse-managed-postgres-rca does
This skill runs root cause analysis on ClickHouse-managed Postgres instances when CPU spikes or cache thrashes. It queries two Beta endpoints on https://api.clickhouse.cloud: Prometheus gauges and Slow Query Patterns. The agent lacks access to EXPLAIN query plans and table scan counters. It reasons strictly from timing and IO signals.
Investigation follows a strict six-step workflow. First, the agent inspects the live OpenAPI schema to map shifting field names. Next, it pulls Prometheus gauges like CacheHitRatio and slow pattern statistics in parallel. Triage then matches the evidence against heuristic profiles, such as read-path full scans or write congestion.
The skill strictly recommends solutions. It never executes DDL and never calls pg_terminate_backend. You must supply instance parameters organizationId and serviceId, along with ClickHouse Cloud API credentials, because unauthenticated requests fail.
What it helps with
- pinpoint causes of high CPU usage on managed Postgres instances
- inspect Slow Query Patterns API for latency and IO totals per query pattern
- detect cache thrashing and active connection spikes from Prometheus gauges
- categorize bottlenecks into full table scans or write congestion
Example prompts for the agent
- Investigate high CPU usage on ClickHouse Postgres instance
<service-id>in org<org-id> - Run root cause analysis on our managed Postgres database because cache hit ratio dropped
- Diagnose why throughput degraded on ClickHouse-managed Postgres service
<service-id>
How to install clickhouse-managed-postgres-rca
1Skills CLI (Vercel)
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a claude-code2Manually: put the files in place
~/.claude/skills/clickhouse-managed-postgres-rca/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/clickhouse-managed-postgres-rca/
1Skills CLI (Vercel)
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a codex2Manually: put the files in place
.agents/skills/clickhouse-managed-postgres-rca/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a cursor2Manually: put the files in place
.cursor/skills/clickhouse-managed-postgres-rca/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install ClickHouse/agent-skills clickhouse-managed-postgres-rca2Manually: put the files in place
.github/skills/clickhouse-managed-postgres-rca/SKILL.md1Skills CLI (Vercel)
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a gemini-cli2Platform CLI
gemini skills install https://github.com/ClickHouse/agent-skills --path skills/clickhouse-managed-postgres-rcaManually: put the files in place
.devin/skills/clickhouse-managed-postgres-rca/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about clickhouse-managed-postgres-rca
How to install clickhouse-managed-postgres-rca in Claude Code?
Run npx skills add ClickHouse/agent-skills --skill clickhouse-managed-postgres-rca -a claude-code. The skill installs into ~/.claude/skills/clickhouse-managed-postgres-rca/SKILL.md.
What does clickhouse-managed-postgres-rca do?
It conducts root cause analysis for performance degradation on ClickHouse-managed Postgres services. The skill fetches Prometheus metrics and slow query patterns, identifies bottlenecks, and suggests fixes without modifying the database.
Does the skill apply database fixes or DDL automatically?
No, the workflow strictly recommends solutions. It never executes DDL commands and never calls pg_terminate_backend or pg_cancel_backend.
Source text
SKILL.md · Apache-2.0
---
name: clickhouse-managed-postgres-rca
description: MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.
license: Apache-2.0
metadata:
author: ClickHouse Inc
version: "0.1.0"
---
# ClickHouse Managed Postgres RCA
## When to use
Trigger whenever a user reports slowness, high CPU, low
throughput, cache thrash, or any unexplained pain on a
ClickHouse-managed Postgres instance.
## What you have access to
Two APIs on `https://api.clickhouse.cloud` (HTTP Basic auth
using a ClickHouse Cloud API key/secret pair):
- **Prometheus metrics** — operation `postgresInstancePrometheusGet`
under the Prometheus tag. Returns Prometheus exposition format.
System and workload metrics for one Postgres service.
- **Slow Query Patterns** — operation `slowQueryPatternsGetList`
under the Postgres tag. Returns per-digest latency, IO, and
call statistics for normalized query patterns. **Beta.**
Both endpoints require an `organizationId` and a `serviceId` as
path parameters. The user must supply both, plus the API
key/secret pair.
## What you do NOT have
- Query plans / EXPLAIN output.
- Per-table scan-type counters (`seq_scan` / `idx_scan`).
- Autovacuum or last-ANALYZE timestamps.
Reason from IO and timing signals, not from a plan tree.
## Workflow
Six steps, in order. Do not skip ahead.
Steps 2 and 3 only share auth — no data dependency between
them. Run them in parallel (background curls, `&` + `wait`) to
cut wall time from sequential ~2s to ~1s.
### 1. Discover the live API shape
These endpoints are Beta — paths, params, and JSON field names
can shift. Follow `rules/openapi-discovery.md` to:
1. Fetch the OpenAPI spec from `https://api.clickhouse.cloud/v1`.
2. Locate the two operations by `operationId`:
- `postgresInstancePrometheusGet` (Prometheus tag)
- `slowQueryPatternsGetList` (Postgres tag)
3. Resolve their path templates, required query parameters,
and (for the slow-query endpoint) the response schema.
4. Build a session-scoped role map from the schema property
descriptions: `{ semantic role → actual field name }`.
Use the resolved names in every subsequent request and citation.
Never hardcode field names from memory.
### 2. Scrape Prom once for system gauges
Follow `rules/prometheus-scrape.md`. **One scrape, no wait.**
You're after gauges (current values) that don't need a delta:
`CacheHitRatio`, `ActiveConnections`, `MemoryUsedPercent`,
`FilesystemUsedPercent`.
A `CacheHitRatio` well below ~95% on a workload that should
fit in cache is a real signal on its own. Climbing
`ActiveConnections` toward the pool ceiling is a real signal
on its own. These don't need rate-of-change.
A second scrape for counter deltas is **opt-in**, used only
when Step 4 triage points at write-congestion (where deadlock
and rollback *rates* matter and the Slow Query Patterns API
can't substitute). For the read-path case (the most common
RCA shape) the single scrape is enough.
### 3. Pull top slow query patterns
Request the slow query patterns. Follow
`rules/slow-query-patterns-fields.md` for the fields that
matter and how to read them. This is the primary diagnostic —
it returns per-pattern accumulated totals (call count, runtime,
blocks, rows) over the window you request, which is the
"rate-of-change" data you'd otherwise derive from two Prom
scrapes — but per query and without waiting.
If no patterns return a meaningful `totalDurationUs`, the
report may be overstated or the issue isn't query-shaped.
Stop and tell the user what you looked at.
### 4. Triage: pick the right heuristic
Follow `rules/triage.md`. Match the combined Prom + slow-query
signal to one of the heuristic shapes. Each shape points to a
specific heuristic file:
- `rules/heuristic-full-scan.md` — read-path full scan.
- `rules/heuristic-hot-loop.md` — N+1 / hot loop from the app.
- `rules/heuristic-write-congestion.md` — deadlocks, slow
writes, high rollback rate.
If the signal does not match any shape cleanly, do not invent
a hypothesis. Surface the top patterns and ask the user which
workload they recognize. New heuristics are welcome as PRs.
### 5. Reason, then recommend
Use the format in `rules/output-template.md`. Always include:
symptom, evidence, hypothesis (noting any alternative cause
you cannot rule out from this surface alone), short-term fix,
and long-term follow-ups.
### 6. Do not apply the fix
Follow `rules/recommend-only.md`. Never run DDL. Never call
`pg_cancel_backend` or `pg_terminate_backend`. Write the
recommendation, explain why, and let the human apply it.
## Full Compiled Document
For the complete guide with every rule expanded in a single
context load: `AGENTS.md`.
© ClickHouse Inc · Apache-2.0 · ClickHouse/agent-skills