agentsclimarketplace

Data pipeline review

Skill jukrap/ai-agent-playbook/skills/data/data-pipeline-review

Reusable AI agent skills, project templates, and guardrails for safer software maintenance and delivery.

Install
npx -y skills add jukrap/ai-agent-playbook --skill data-pipeline-review

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

  • 2 stars2 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 author says it does

Copied from the file, not written here

Use when reviewing analytics pipelines, ETL jobs, batch processing, data contracts, quality checks, dashboards, or reporting datasets.

SKILL.md

0.9 KB, as published. Nobody here has run it

Data Pipeline Review

Use this as the primary data skill for pipeline and analytics reliability.

Workflow

  1. Identify source systems, transformation steps, schedule, ownership, consumers, and freshness expectations.
  2. Check schema drift, null handling, dedupe, late-arriving data, idempotency, backfill, and metric definitions.
  3. Separate source-of-truth data from derived reports and generated artifacts.
  4. Verify with row counts, reconciliation queries, sample records, and dashboard checks when possible.

Reference

Read references/pipeline-reconciliation-and-backfill.md when a pipeline review needs source contract checks, freshness guarantees, idempotent jobs, replay/backfill planning, data quality alerts, or dashboard reconciliation.

Keep looking

Skills are one crate of 328,083. 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.