schema-optimizer

Name: schema-optimizer
Availability: InStock
Author: Lytics

Analyze schemas for quality issues and output a prioritized improvement report.

4|1|Updated Apr 2, 2026

Search Tags:#schema #reporting #analyze #data-quality #identity-resolution #field-coverage #data-mappings

Ready to run

npx skills add https://github.com/lytics/agent-skills --skill schema-optimizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: schema-optimizer
Source: https://github.com/lytics/agent-skills/tree/main/schema-optimizer
Command: npx skills add https://github.com/lytics/agent-skills --skill schema-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Schema quality degrades over time with evolving data sources. This Skill helps teams identify unused fields, gaps in identity resolution, misconfigurations in mappings, and low data coverage so you can architect robust schemas.

Core Features & Use Cases

Identifies unused fields and fields with zero or low coverage in segments.
Flags inert fields with no mappings and analyzes identity configurations.
Highlights potential PII exposure risks and provides actionable recommendations.
Use cases include schema reviews, data governance, onboarding new data sources, and auditing identity config.

Quick Start

Run the schema optimizer against your current schema to generate a prioritized improvement plan.

Frequently Asked Questions about schema-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find unused fields and low coverage issues in my user profile schema?▼

To find unused fields and low coverage in your user profile schema, run an automated schema analysis that checks segment usage and field mappings. This process surfaces inert fields with no mappings and identifies coverage gaps so you can architect a robust data structure.

What is the best way to audit identity resolution configurations for data quality?▼

The best way to audit identity resolution configurations is to analyze your identity setup for merge operation concerns and misconfigurations across data sources. This evaluation highlights gaps in identity resolution and flags potential merge conflicts to ensure accurate user matching.

How can I identify potential PII exposure risks in my data mappings?▼

You can identify potential PII exposure risks by running a schema quality check that analyzes field mappings and configurations. This process highlights sensitive data exposure points and provides actionable recommendations to secure your schema against unauthorized access.

When should I perform a schema review for data governance and onboarding new data sources?▼

You should perform a schema review during data governance audits and when onboarding new data sources to prevent quality degradation. Analyzing schemas early surfaces misconfigurations, capacity considerations, and unused fields before they impact downstream reporting.

What does a prioritized schema improvement report include?▼

A prioritized schema improvement report includes actionable insights on unused fields, identity resolution gaps, PII exposure, and capacity considerations. It evaluates field coverage and merge operations to output a ranked list of data quality fixes for your architecture.