By ClickHouse
Replace pandas with a ClickHouse-backed DataFrame API to accelerate data filtering, grouping, and joining across files, databases, and cloud sources.
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npx claudepluginhub clickhouse/agent-skills --plugin chdb-datastore28 best practice rules for ClickHouse schema design, query optimization, and data ingestion — prioritized by impact
Troubleshooting guide for the ClickHouse Node.js client (@clickhouse/client) — socket hang-up/ECONNRESET, Keep-Alive, data type mismatches, read-only users, proxy/pathname URLs, TLS, compression, logging, and query parameters
Step-by-step workflow for wiring an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud — deploying a new local collector or configuring an existing one, creating a dedicated ingest user, sending synthetic telemetry, and verifying it in ClickStack
Embedded ClickHouse SQL engine for Python via chDB — run analytical SQL on parquet/csv/json files, URLs, S3, and remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) with Session for stateful pipelines, parametrized queries, UDFs, and cross-source joins
Workload-aware architecture decision skill for ClickHouse — ingestion strategies, partitioning, enrichment, upsert patterns, and pre-aggregation with explicit official/derived/field provenance
Embedded ClickHouse SQL engine for Python via chDB — run analytical SQL on parquet/csv/json files, URLs, S3, and remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) with Session for stateful pipelines, parametrized queries, UDFs, and cross-source joins
Build ClickHouse tables with sub-second queries, 10x compression, and zero full table scans
Claude Code skill pack for ClickHouse (24 skills)
MotherDuck skills for connecting, exploring live schemas, writing DuckDB SQL, using the REST API, and building dashboards, Dives, pipelines, and analytics apps.
Specialized assistance for the chmonitor dashboard - a real-time monitoring dashboard for ClickHouse clusters
DuckDB-powered skills for Claude Code: read any data file, attach and query DuckDB databases, search DuckDB/DuckLake docs, search past session logs, and install/update DuckDB extensions.