Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Data observability context before SQL edits v1.0.0

Use this resource to check data health and change impact before editing dbt or SQL

New

  • 532 downloads
  • 190 likes
  • 230 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-observability-pre-edit-check

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

In Claude Code, the agent checks Monte Carlo before you change a dbt model or SQL pipeline: table health, active alerts, lineage and blast radius. It can also generate monitors as code. You get an impact assessment before you edit.

Mostly picked by

Updated November 2, 2026

Card for the “Data observability context before SQL edits” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: triggers, pre-edit gate and core workflows
  • references/workflows.md: step-by-step health, monitor and alert procedures
  • references/parameters.md: parameters of the MCP tools

Good fit for

  • You are about to change a dbt model used in production
  • You want a quality monitor on a table before a change

Not for

    Tags

    • data observability
    • dbt
    • sql
    • data quality

    About

    You say

    “Before I change the orders model, check its alerts and downstream impact.”

    Card for the “Data observability context before SQL edits” skill

    Skill published by monte-carlo-data under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to check data health and change impact before editing dbt or SQL
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/parameters.md0.9 KB
    • references/TROUBLESHOOTING.md1.6 KB
    • references/workflows.md23.8 KB
    • SKILL.md13.6 KB

    Origin and licence

    Listed unmodified

    Author
    monte-carlo-data
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/monte-carlo-prevent
    Licence
    MIT

    Notice

    « monte-carlo-prevent » (monte-carlo-data, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.