domains / families / devops / monte-carlo-performance-diagnosis
monte-carlo-performance-diagnosis
authentic
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.
When to use
- slow pipelines, jobs, or queries
- expensive or costly queries
- performance regressions or degradation
- comparing performance over time
- finding bottleneck tasks
- failed or futile query patterns
When not to use
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
Skill page
Source