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Bq Query Optimization

Checked
funnelenvy·vlatest·database·MIT

Helps with querying, optimization as part of agent workflows 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 funnelenvy/agents_webinar_demos --skill bq-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

funnelenvy

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 funnelenvy/agents_webinar_demos at 1804741b81.

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

Commit
1804741b81
Manifest
.claude/skills/bq-query-optimization/SKILL.md
Scanned
1 file, 1,442 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 BigQuery queries to improve performance and reduce costs. It analyzes query plans, suggests index usage, and identifies inefficient operations like full table scans. The goal is to significantly speed up query execution times while minimizing resource consumption within Google Cloud.

When to use it

  • You're experiencing slow query execution in BigQuery.
  • Your BigQuery bills are higher than expected due to inefficient queries.
  • You need to analyze complex SQL queries for potential bottlenecks.
  • You want to ensure optimal performance of data analysis and reporting tasks within Google Cloud.

Key capabilities

  • Analyzes BigQuery query plans.
  • Identifies inefficient operations (e.g., full table scans).
  • Suggests index usage improvements.
  • Optimizes SQL queries for faster execution.

Example prompts

  • "Optimize this BigQuery query: SELECT * FROM dataset.table WHERE condition."
  • "Can you analyze the performance of my BigQuery query and suggest optimizations?"
  • "I'm getting slow results from this query; what can I do to improve it? [query text]"

Tips & gotchas

  • Requires access to your Google Cloud project and appropriate permissions to analyze BigQuery queries.
  • The skill’s suggestions should be reviewed carefully, as some optimizations might have unintended consequences on data accuracy or query results.