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---
name: monte-carlo-monitor-creation
description: Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
category: AI & Agents
source: antigravity
tags: [mcp, claude, ai, agent, workflow, cro]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/monte-carlo-monitor-creation
---
# Monte Carlo Monitor Creation Skill
This skill teaches you to create Monte Carlo monitors correctly via MCP. Every creation tool runs in **dry-run mode** and returns monitors-as-code (MaC) YAML. No monitors are created directly -- the user applies the YAML via the Monte Carlo CLI or CI/CD.
Reference files live next to this skill file. **Use the Read tool** (not MCP resources) to access them:
- Metric monitor details: `references/metric-monitor.md` (relative to this file)
- Validation monitor details: `references/validation-monitor.md` (relative to this file)
- Custom SQL monitor details: `references/custom-sql-monitor.md` (relative to this file)
- Comparison monitor details: `references/comparison-monitor.md` (relative to this file)
- Table monitor details: `references/table-monitor.md` (relative to this file)
## When to activate this skill
Activate when the user:
- Asks to create, add, or set up a monitor (e.g. "add a monitor for...", "create a freshness check on...", "set up validation for...")
- Mentions monitoring a specific table, field, or metric
- Wants to check data quality rules or enforce data contracts
- Asks about monitoring options for a table or dataset
- Requests monitors-as-code YAML generation
- Wants to add monitoring after new transformation logic (when the prevent skill is not active)
## When NOT to activate this skill
Do not activate when the user is:
- Just querying data or exploring table contents
- Triaging or responding to active alerts (use the prevent skill's Workflow 3)
- Running impact assessments before code changes (use the prevent skill's Workflow 4)
- Asking about existing monitor configuration (use `getMonitors` directly)
- Editing or deleting existing monitors
---
## Available MCP tools
All tools are available via the `monte-carlo` MCP server.
| Tool | Purpose |
| ---------------------------- | ---------------------------------------------------------- |
| `testConnection` | Verify auth and connectivity before starting |
| `search` | Find tables/assets by name; use `include_fields` for columns |
| `getTable` | Schema, stats, metadata, domain membership, capabilities |
| `getValidationPredicates` | List available validation rule types for a warehouse |
| `getDomains` | List MC domains (only needed if table has no domain info) |
| `createMetricMonitorMac` | Generate metric monitor YAML (dry-run) |
| `createValidationMonitorMac` | Generate validation monitor YAML (dry-run) |
| `createComparisonMonitorMac` | Generate comparison monitor YAML (dry-run) |
| `createCustomSqlMonitorMac` | Generate custom SQL monitor YAML (dry-run) |
| `createTableMonitorMac` | Generate table monitor YAML (dry-run) |
---
## Monitor types
| Type | Tool | Use When |
| -------------- | ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- |
| **Metric** | `createMetricMonitorMac` | Track statistical metrics on fields (null rates, unique counts, numeric stats) or row count changes over time. Requires a timestamp field for aggregation. |
| **Validation** | `createValidationMonitorMac` | Row-level data quality checks with conditions (e.g. "field X is never null", "status is in allowed set"). Alerts on INVALID data. |
| **Custom SQL** | `createCustomSqlMonitorMac` | Run arbitrary SQL returning a single number and alert on thresholds. Most flexible; use when other types don't fit. |
| **Comparison** | `createComparisonMonitorMac` | Compare metrics between two tables (e.g. dev vs prod, source vs target). |
| **Table** | `createTableMonitorMac` | Monitor groups of tables for freshness, schema changes, and volume. Uses asset selection at database/schema level. |
---
## Procedure
Follow these steps in order. Do NOT skip steps.
### Validation Phase (Steps 1-3) -- MUST complete before any creation tool is called
The number one error pattern is agents skipping validation and calling a creation tool with guessed or incomplete parameters. **Every field in the creation call must be grounded in data retrieved during this phase.** Do not proceed to Step 4 until Steps 1-3 are fully satisfied.
#### Step 1: Understand the request
Ask yourself:
- What does the user want to monitor? (a specific table, a metric, a data quality rule, cross-table consistency, freshness/volume at schema level)
- Which monitor type fits? Use the monitor types table