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monte-carlo-prevent

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

Finance & AccountingData & Analyticsdata-observabilitydbtlineagemonte-carloschema

Monte Carlo Prevent Skill

This skill brings Monte Carlo's data observability context directly into your editor. When you're modifying a dbt model or SQL pipeline, use it to surface table health, lineage, active alerts, and to generate monitors-as-code without leaving Claude Code.

Reference files live next to this skill file. Use the Read tool (not MCP resources) to access them:

  • Full workflow step-by-step instructions: references/workflows.md (relative to this file)
  • MCP parameter details: references/parameters.md (relative to this file)
  • Troubleshooting: references/TROUBLESHOOTING.md (relative to this file)

When to activate this skill

Do not wait to be asked. Run the appropriate workflow automatically whenever the user:

  • References or opens a .sql file or dbt model (files in models/) → run Workflow 1
  • Mentions a table name, dataset, or dbt model name in passing → run Workflow 1
  • Describes a planned change to a model (new column, join update, filter change, refactor) → STOP — run Workflow 4 before writing any code
  • -

  • Adds a new column, metric, or output expression to an existing
  • model → run Workflow 4 first, then ALWAYS offer Workflow 2 regardless of risk tier — do not skip the monitor offer

  • Asks about data quality, freshness, row counts, or anomalies → run Workflow 1
  • Wants to triage or respond to a data quality alert → run Work

Subscribers only

The full skill, its 4 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcemonte-carlo-data/mc-agent-toolkit
License
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, references/TROUBLESHOOTING.md, references/parameters.md, references/workflows.md
Added2026-04-08

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