monte-carlo-performance-diagnosis
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Monte Carlo Performance Diagnosis Skill
This skill helps diagnose data pipeline performance issues using Monte Carlo's cross-platform observability data. It works across Airflow, dbt, Databricks, and warehouse query engines to find bottlenecks, detect regressions, and identify root causes.
Monte Carlo tool routing: This catalog tree does not bundle a server. Discover an existing authorized connection, confirm its endpoint/account, and use its actual schema. Upstream installations may expose names such as
mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool>(e.g.mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts). Bare tool names used in this skill (get_alerts,search,get_table, …) refer to that bundled server. If the session also has a separately-configuredmonte-carlo-mcpserver, do not route to it — it may point at a different endpoint or credentials.
Reference files live next to this skill file. Use the Read tool (not MCP resources) to access them:
- Tiered investigation approach:
references/investigation-tiers.md(relative to this file) - Query analysis patterns:
references/query-analysis.md(relative to this file)