BigQuery Troubleshooting
BigQuery Troubleshooting is an agent skill (a SKILL.md file) from google/skills. It provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system. It works with Claude Code, Codex and Gemini CLI and has 20,994 GitHub stars across a repository of 6 listed skills.
github.com/google/skills/skills/cloud/bigquery-troubleshooting (opens in a new tab)
- Official
- Multi-skill repo
- Plugin marketplace
- Data & analysis
- Actively maintained
Add this skill
Claude
This repository is a Claude Code plugin marketplace. In Claude Code:
/plugin marketplace add google/skills
/plugin # browse google-plugins and install the plugin that contains bigquery-troubleshootingIn the Claude apps, zip the bigquery-troubleshooting folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).
ChatGPT / Codex
Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:
git clone --depth 1 https://github.com/google/skills.git
cp -r skills/skills/cloud/bigquery-troubleshooting .agents/skills/bigquery-troubleshooting # repo; ~/.agents/skills for all projectsStandalone skills also load in the ChatGPT desktop app.
Cursor
Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:
git clone --depth 1 https://github.com/google/skills.git
cp -r skills/skills/cloud/bigquery-troubleshooting .cursor/skills/bigquery-troubleshooting # project; ~/.cursor/skills for all projectsSource (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), code.claude.com/docs/en/plugin-marketplaces (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)
What this skill does
Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps.
When it triggers
- use analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads.
- Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediat
- use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).
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6 skills are listed from this repository.
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What is the BigQuery Troubleshooting skill?
BigQuery Troubleshooting is an agent skill (a SKILL.md file) from google/skills. It provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system. It works with Claude Code, Codex and Gemini CLI and has 20,994 GitHub stars across a repository of 6 listed skills. Its SKILL.md lives at github.com/google/skills/skills/cloud/bigquery-troubleshooting.
How do I install the BigQuery Troubleshooting skill?
In Claude Code, run /plugin marketplace add google/skills, then install its plugin from /plugin. For Codex or Cursor, copy the bigquery-troubleshooting folder into .agents/skills/ or .cursor/skills/.
Is the BigQuery Troubleshooting skill free?
Yes. The repository is open source under the Apache-2.0 license.
Is BigQuery Troubleshooting maintained?
The repository's most recent commit was on Oct 6, 2026. appsgit only lists skills from repositories with a commit in the last six months.