majiayu000/claude-arsenal
xiaohongshu
xiaohongshu
286 148
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discovery.data_audit
Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.
SKILL.md
Full skill instructions
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
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.
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