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Monte carlo validation notebook

Skill newmindsgroup/ai-agent-skills-library/sources/sickn33-antigravity-awesome-skills/skills/monte-carlo-validation-notebook

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.From its SKILL.md

Install
npx -y skills add newmindsgroup/ai-agent-skills-library --skill monte-carlo-validation-notebook

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.1 KB, 627 tokens by cl100k_base, as published. Nobody here has run it

Setup

Prerequisites: - gh (GitHub CLI) — required for PR mode. Must be authenticated (gh auth status). - python3 — required for helper scripts. - pyyaml — install with pip3 install pyyaml (or pip install pyyaml, uv pip install pyyaml, etc.)

Note: Generated SQL uses ANSI-compatible syntax that works across Snowflake, BigQuery, Redshift, and Athena. Minor adjustments may be needed for specific warehouse quirks.

This skill includes two helper scripts in ${CLAUDE_PLUGIN_ROOT}/skills/monte-carlo-validation-notebook/scripts/:

  • resolve_dbt_schema.py - Resolves dbt model output schemas from dbt_project.yml routing rules and model config overrides. -...

When to Use

  • The request matches the skill description: Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.
  • The task needs the implementation patterns, examples, validation checks, or edge cases listed in the topic map.
  • The work would benefit from the complete guidance preserved in references/full-guidance.md.

Core Workflow

  1. Confirm the request matches this skill's trigger, scope, and risk profile.
  2. Use the topic map to identify the relevant pattern, checklist, or example before writing detailed guidance or code.
  3. Load references/full-guidance.md when implementation details, examples, anti-patterns, validation checks, or edge cases are needed.
  4. Apply only the relevant guidance instead of loading or repeating the entire reference by default.
  5. Verify the result against any validation checks, limitations, security notes, or platform constraints in the reference.

Topic Map

  • Parameter Cell Spec
  • Phase 1: Get Changed Files
  • If PR mode (GitHub PR):
  • If Local mode (Local Directory):
  • Model Selection (applies to both modes)
  • Phase 2: Parse Changed Models
  • 2a. Model Metadata
  • 2b. Diff Analysis
  • 2c. Model Classification
  • Phase 3: Generate Validation Queries
  • Query Patterns for NEW Models
  • Query Patterns for MODIFIED Models
  • Phase 4: Build Notebook YAML
  • 4a. Metadata
  • 4b. Parameter Cells
  • 4c. Markdown Summary Cell
  • 4d. SQL Cell Format
  • 4e. Cell Organization

Reference Map

  • references/full-guidance.md preserves the complete original guidance, including examples and detailed edge cases.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Progressive Loading

Keep this SKILL.md as the compact routing and workflow entrypoint. Load the reference file only when the user task requires the deeper implementation material.

What ships with it: 3 files

34.3 KB alongside SKILL.md, 2 of them executable

references/

Keep looking

Skills are one crate of 326,852. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.