discovery.data_audit

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

Stars 163

Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/data-audit

SKILL.md

Purpose

Give analytics partners a reusable way to surface the state of data readiness and highlight what is needed to support discovery.

Pre-run Checklist

✅ Access existing schema documentation or data dictionaries.
✅ Review outstanding data governance tickets or debt.
✅ Align with product on the decision timeline and required fidelity.

Invocation Guidance

bash

codex skills run discovery.data_audit \
  --vars "domain={{domain}}" \
         "decision_goals={{decision_goals}}" \
         "current_sources={{current_sources}}" \
         "compliance_flags={{compliance_flags}}"

Recommended Input Attachments

Links to Looker/Mode dashboards or warehouse tables.
Screenshots of tracking plans or event schemas.

Claude Workflow Outline

Summarize the decision goals and domain context.
Produce a data catalog table with source details, owners, freshness, and trust level.
Identify instrumentation or modeling gaps blocking the decision goals.
Recommend implementation steps, owners, and sequencing.
Outline interim proxies or experiments while data gaps are addressed.

Output Template

## Data Inventory
| Source | Owner | Freshness | Accessibility | Trust Level | Notes |
| --- | --- | --- | --- | --- | --- |

## Gaps & Recommendations
1. Gap — Impact — Suggested Fix — Owner — Timeline

## Decision Support Plan
- Immediate next step:
- Interim proxy:
- Long-term instrumentation:

Follow-up Actions

File tracking or warehouse work items with clear acceptance criteria.
Communicate data readiness to product and engineering leadership.
Schedule follow-up audits post-implementation.