Clickhouse Architecture Advisor

by ClickHouse2f6ec4b17a81Apache-2.0544 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 9 days ago

MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.

Instructions onlyData & Analytics

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
AGENTS.md2.2 KBtext/markdown
examples/finserv-market-surveillance.md3.1 KBtext/markdown
examples/observability-high-throughput.md2.6 KBtext/markdown
examples/README.md500 Btext/markdown
examples/siem-security-analytics.md1.9 KBtext/markdown
mappings/doc_links.yaml1.1 KBapplication/yaml
metadata.json919 Bapplication/json
README.md2 KBtext/markdown
rules/decision-ingestion-strategy.md2.2 KBtext/markdown
rules/decision-join-enrichment.md2 KBtext/markdown
rules/decision-late-arriving-upserts.md2 KBtext/markdown
rules/decision-partitioning-timeseries.md2 KBtext/markdown
rules/decision-real-time-preaggregation.md2 KBtext/markdown
schemas/recommendation_schema.yaml452 Bapplication/yaml
SKILL.md3.1 KBtext/markdown

Source and attribution

Source:ClickHouse/agent-skillsinskills/clickhouse-architecture-advisorat commit2f6ec4b

License: Apache-2.0

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

More from ClickHouse/agent-skills

Clickhouse Managed Postgres Rca

ClickHouse

Evidence-based root cause analysis workflow for performance issues on ClickHouse-managed Postgres instances.

DevOps & Cloud544updated 9 days ago

Clickhouse Js Node Troubleshooting

ClickHouse

Troubleshoots common errors and configuration issues with the ClickHouse Node.js client (@clickhouse/client).

Software Development544updated 9 days ago

Clickhouse Best Practices

ClickHouse

Reviews ClickHouse schemas, queries, and ingestion strategies against 31 documented best-practice rules.

Data & Analytics544updated 9 days ago

Chdb Sql

ClickHouse

Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB — embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.

Includes scripts
Awaiting classification544updated 9 days ago

Chdb Datastore

ClickHouse

Use chdb DataStore as a drop-in, ClickHouse-backed replacement for pandas to query, join and aggregate tabular data.

Includes scripts
Data & Analytics544updated 9 days ago