Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes. Activates when a user asks about slow pipelines, expensive queries, or performance regressions.
How to install performance-diagnosis?
monte-carlo-data/mc-agent-toolkit/performance-diagnosis
$npx -y skills add monte-carlo-data/mc-agent-toolkit --skill performance-diagnosisInstalls into the current project.
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Run `npx skills use "https://github.com/monte-carlo-data/mc-agent-toolkit" --skill "monte-carlo-data/mc-agent-toolkit/performance-diagnosis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/monte-carlo-data/mc-agent-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/monte-carlo-data/mc-agent-toolkit"` and select the relevant skills, then follow their instructions.
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