clickhouse-architecture-advisor
by ClickHouseclickhouse-architecture-advisor helps design ClickHouse workloads with workload-aware decisions for ingestion, partitioning, joins, dictionaries, upserts, and pre-aggregation. It is especially useful for Backend Development, observability, SIEM, product analytics, IoT telemetry, and financial pipelines. The skill labels guidance as official, derived, or field.
This skill scores 88/100, which means it is a solid listing candidate for directory users who need ClickHouse architecture guidance beyond generic prompting. The repository shows clear trigger conditions, explicit decision areas, and provenance rules, so an agent can usually apply it with less guesswork for workload-aware design choices; users should still expect it to complement, not replace, the core best-practices skill and official docs.
- Strong triggerability: the SKILL.md frontmatter says it MUST USE for designing ClickHouse architectures and selecting ingestion or modeling patterns.
- Good operational clarity: it defines specific decision areas such as ingestion strategy, partitioning, enrichment paths, late-arriving data, and real-time pre-aggregation.
- High agent leverage: examples, decision rules, and mandatory provenance labels (`official` / `derived` / `field`) help an agent produce disciplined recommendations.
- It is explicitly a complement to `clickhouse-best-practices`, so it may not be sufficient as a standalone install for low-level schema or query validation.
- No install command or scripts are provided, so adoption depends on the agent correctly following the documented workflow and reading the rule files.
Overview of clickhouse-architecture-advisor skill
What this skill is for
The clickhouse-architecture-advisor skill helps you design ClickHouse workloads, not just validate tables or queries. It is most useful when you need to choose an ingestion path, model mutable or late-arriving data, decide between joins and dictionaries, or shape a time-series architecture with clear tradeoffs.
Best-fit users and workloads
Use the clickhouse-architecture-advisor skill for Backend Development, analytics platform work, observability, SIEM, product analytics, IoT telemetry, and financial-market pipelines. It fits people who already know the business goal but need a ClickHouse-specific architecture recommendation that is more defensible than a generic prompt.
What makes it different
The skill centers decisions, not recipes. It explicitly separates official, derived, and field guidance, prefers official ClickHouse docs when available, and pushes you to classify the workload first. That makes it stronger for architecture reviews and POCs than for one-off query tuning.
How to Use clickhouse-architecture-advisor skill
Install and activate it
Install the clickhouse-architecture-advisor skill with the repository’s skill manager, then invoke it in a context where architecture choices matter. A typical install pattern is:
npx skills add ClickHouse/agent-skills --skill clickhouse-architecture-advisor
If your environment uses a different skill loader, keep the same repo and skill slug and adapt the command to your runner.
Give it the right input shape
The skill works best when you provide workload shape, freshness target, write rate, query patterns, mutation needs, and constraints like retention, replayability, or enrichment latency. A weak prompt says “design a ClickHouse schema”; a strong prompt says:
“Design a ClickHouse architecture for 120M events/day from IoT devices, 2-second freshness, late-arriving updates, dashboard scans by hour, and occasional point lookups for device state.”
That level of detail lets the clickhouse-architecture-advisor usage path choose the right decision files and produce a meaningful tradeoff analysis.
Read these files first
Start with SKILL.md, AGENTS.md, and metadata.json to understand scope, provenance rules, and the supported ClickHouse version. Then read rules/decision-ingestion-strategy.md, rules/decision-partitioning-timeseries.md, rules/decision-join-enrichment.md, rules/decision-late-arriving-upserts.md, and rules/decision-real-time-preaggregation.md before drafting your own design.
Use the examples as prompt templates
The examples folder is the fastest way to understand clickhouse-architecture-advisor guide patterns. examples/observability-high-throughput.md, examples/finserv-market-surveillance.md, and examples/siem-security-analytics.md show how to frame workload summary, key decisions, and recommendation categories. Mirror that structure when you ask for help so the output stays decision-oriented instead of generic.
clickhouse-architecture-advisor skill FAQ
Is this only for advanced ClickHouse users?
No. The skill is useful for beginners who need a safe starting design, but it is especially valuable when the cost of a wrong choice is high. If you are still choosing between raw ingestion, MVs, dictionaries, or denormalization, this skill can narrow the options quickly.
How is it different from a normal prompt?
A normal prompt often produces a single “best guess” architecture. The clickhouse-architecture-advisor skill is built to force workload classification, provenance labeling, and explicit tradeoffs, which makes the result easier to trust and review.
When should I not use it?
Do not use it for trivial schema questions, isolated SQL syntax help, or cases where you already know the exact ClickHouse feature you need. It is also a poor fit if you cannot describe the workload at all, because the recommendation quality depends on workload shape.
Does it replace clickhouse-best-practices?
No. The clickhouse-architecture-advisor skill complements clickhouse-best-practices by adding architecture-level decisioning. Use the best-practices skill for rule checks and this skill when you need the system design around those rules.
How to Improve clickhouse-architecture-advisor skill
Give the skill decision-making data
The biggest quality boost comes from telling it what is hard about the workload: bursty writes, late data, high-cardinality dimensions, expensive joins, retention windows, or competing freshness and cost goals. Those details let the clickhouse-architecture-advisor skill choose between official, derived, and field guidance more accurately.
State your acceptance criteria
If you care about one-second freshness, low storage cost, replayability, or auditability, say so explicitly. The skill can usually produce a better design when it knows which tradeoff matters most, rather than guessing between speed, simplicity, and durability.
Ask for a decision, not a tour
Better output comes from prompts that force a recommendation and a rationale. For example: “Recommend the ingestion pattern, partitioning strategy, enrichment approach, and whether to use pre-aggregation for this workload; label each recommendation with provenance.” That is more useful than “explain ClickHouse architecture.”
Iterate using the first draft
Use the first answer to spot missing inputs, then rerun with the gaps filled in: exact event keys, update semantics, query frequency, dimension volatility, and retention policy. That iterative loop is especially effective for clickhouse-architecture-advisor for Backend Development, where the real challenge is usually translating product requirements into a ClickHouse shape.