monte-carlo-performance-diagnosis
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.
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 (required): Always call Monte Carlo MCP tools through this plugin's
bundled server, whose fully-qualified tool names are
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)
When to activate this skill
Activate when the user:
- Asks about slow pipelines, jobs, or queries
- Wants to find expensive or costly queries
- Mentions performance regressions or degradation
- Asks "why is this pipeline slow?" or "what's using the most compute?"
- Wants t
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | monte-carlo-data/mc-agent-toolkit |
|---|---|
| License | Apache-2.0 |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-07-01 |
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