by ClickHouse · Agent Tool · ★ 479
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ClickHouse Agent Skills The official Agent Skills for ClickHouse. These skills help LLMs and agents to adopt best practices when working with ClickHouse. You can use these skills with open-source ClickHouse and managed ClickHouse Cloud. Try ClickHouse Cloud with $300 in free credits. Installation The CLI auto-detects installed agents and prompts you to select where to install. What is this? Agent Skills are packaged instructions that extend AI coding agents (Claude Code, Cursor, Copilot, etc.) with domain-specific expertise. This repository provides skills for ClickHouse databases—covering schema design, query optimization, and data ingestion patterns. When an agent loads these skills, it gains knowledge of ClickHouse best practices and can apply them while helping you design tables, write queries, or troubleshoot performance issues. Skills follow the open specification at agentskills.io. Available Skills ClickHouse Best Practices 28 rules covering schema design, query optimization, and data ingestion—prioritized by impact.
| Stars | 479 |
| Forks | 29 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70.2861770522736/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-30 |
| Created | 2026-01-15 |
| Platforms | cli, node |
| Est. Tokens | ~14k |
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agent-skills is The official Agent Skills for ClickHouse and ClickHouse Cloud. It is categorized as a Agent Tool with 479 GitHub stars.
agent-skills is primarily written in TypeScript. It covers topics such as agents, clickhouse.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/ClickHouse/agent-skills. The project has 479 stars and 29 forks, indicating an active community.
agent-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include apify-mcp-server, NagaAgent, npcpy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.