Skip to content
Docksoft

ClickHouse Agent Skills

A

clickhouse-agent-skills

Best practices for working with ClickHouse analytical databases.

clickhouseanalyticsdatabaseolap

Install

npx skills add ClickHouse/clickhouse-agent-skills
License
Apache-2.0
Updated
February 2026
Type
Bundle of 8
Platforms
Claude Code, Codex, Cursor, Multi Platform
View source

8 skills in this bundle

  • chdb-datastore

    Source

    - Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.

  • chdb-sql

    Source

    - 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.

  • clickhouse-architecture-advisor

    Source

    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.

  • clickhouse-best-practices

    Source

    MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 31 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

  • clickhouse-js-node-coding

    Source

    Write idiomatic application code with the ClickHouse Node.js client (`@clickhouse/client`). Use this skill whenever a user is *building* against the Node.js client — configuring the client, pinging, inserting rows in JSON or raw formats, selecting and parsing results, binding query parameters, managing sessions and temporary tables, working with data types or customizing JSON parsing. Do NOT use for browser/Web client code.

  • clickhouse-js-node-troubleshooting

    Source

    Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream handling issues, data type mismatches, read-only user restrictions, proxy/TLS setup problems, or long-running query timeouts. Trigger even when the user hasn't precisely named the issue; vague symptoms like "my inserts keep failing" or "connection drops randomly" in a Node.js context are strong signals to use this skill. Do NOT use for browser/Web client issues.

  • clickhousectl-cloud-deploy

    Source

    Use when a user wants to deploy ClickHouse to the cloud, go to production, use ClickHouse Cloud, host a managed ClickHouse service, or migrate from a local ClickHouse setup to ClickHouse Cloud.

  • clickhousectl-local-dev

    Source

    Use when a user wants to build an application with ClickHouse, set up a local ClickHouse development environment, install ClickHouse, create a local server, create tables, or start developing with ClickHouse. Covers the full flow from zero to a working local ClickHouse setup.

Related

Database

A

.NET Data

dotnet-data

.NET data access and Entity Framework patterns: querying, migrations, performance, and modern EF Core workflows.

claude-codegithub-copilotcursor+1MIT

Database

A

Azure Blob Storage

azure-blob-storage

Use Azure Blob Storage for object data: tiering, lifecycle policies, SAS tokens, private endpoints, and SDK patterns. Requires the mcp_microsoftdocs MCP for live docs.

claude-codecodexcursor+3CC-BY-4.0

Database

A

Azure Cosmos DB

azure-cosmos-db

Build with Azure Cosmos DB: partition design, RU/s tuning, multi-region replication, change feed, and SDK patterns across NoSQL, MongoDB, Cassandra. Requires the mcp_microsoftdocs MCP for live docs.

claude-codecodexcursor+3CC-BY-4.0

Agent tooling

Want agents that know your stack?

This index is ours, and so is the tooling behind it. If your team wants agents that understand how your own systems actually work, that is a thing we build.

Contact the dock

One address, read by the people who would do the work. No intake form, no calendar link — just an email.

tphamdn@gmail.com
Other reasons to writeWe reply within two business days