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monte-carlo-remediation

Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.

Monte Carlo Remediation Skill

This skill teaches you to investigate and remediate data quality issues detected by Monte Carlo. You use MC MCP tools to understand the alert context, run root cause analysis, assess blast radius, and then execute the appropriate remediation action using whatever external tools the user has connected.

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:

  • Common remediation patterns and examples: references/patterns.md (relative to this file)
  • How to discover available tools at runtime: references/tool-discovery.md (relative to this file)
  • Safety rails and escalation criteria: references/safety.md (relative to this file)

When to activate this skill

Activate when the user:

  • Asks to remediate, fix, or respond to a data quality alert or incident

Subscribers only

The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcemonte-carlo-data/mc-agent-toolkit
LicenseApache-2.0
Risk labelcritical ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md
Added2026-07-01

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