monte-carlo-performance-diagnosis

Installation
SKILL.md

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-configured monte-carlo-mcp server, 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)
Installs
13
GitHub Stars
48.7K
First Seen
Jul 14, 2026