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Clickhouse Query Optimization

Checked
obsessiondb·vlatest·database

Helps with querying, optimization as part of working with databases and data persistence workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add obsessiondb/clickhouse-skills --skill clickhouse-query-optimization -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

obsessiondb

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned obsessiondb/clickhouse-skills at 1305d7ad25.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1305d7ad25
Manifest
skills/clickhouse-query-optimization/SKILL.md
Scanned
1 file, 570 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill optimizes ClickHouse queries for improved performance. It analyzes query structure, suggests indexes, and recommends alternative approaches to reduce execution time and resource consumption. The skill aims to identify bottlenecks and provide actionable insights for efficient data retrieval in ClickHouse databases.

When to use it

  • You're experiencing slow query execution times in your ClickHouse environment.
  • Your ClickHouse queries are consuming excessive resources (CPU, memory).
  • You need assistance identifying missing indexes or suboptimal query patterns.
  • You want to proactively improve the performance of new and existing ClickHouse queries.

Key capabilities

  • Query analysis
  • Index recommendations
  • Performance bottleneck identification
  • Alternative query suggestions

Example prompts

  • "Optimize this ClickHouse query: SELECT ... FROM ... WHERE ..."
  • "What indexes would improve the performance of this ClickHouse query?"
  • "Can you suggest a more efficient way to run this ClickHouse query?"

Tips & gotchas

The skill's effectiveness depends on providing complete and accurate ClickHouse queries. It is designed for standard SQL syntax within the ClickHouse ecosystem; complex or non-standard queries may yield less precise recommendations.