monte-carlo-monitor-creation

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Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.

AI & Automation 40,440 stars 6528 forks Updated today MIT

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Skill Content

# 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...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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