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TrevorMann
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DataQualityTriageAgent

Route data records to done, needs_review, or unsalvageable based on completeness and confidence scores.

Updated Apr 23, 2026
Search Tags:#data quality#confidence assessment#data triage#completeness assessment#record routing
One-click install
npx skills add https://github.com/TrevorMann/AIDataCleansing --skill dataqualitytriageagent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: DataQualityTriageAgent
Source: https://github.com/TrevorMann/AIDataCleansing/tree/main/skills/real_estate/data_quality_triage
Command: npx skills add https://github.com/TrevorMann/AIDataCleansing --skill dataqualitytriageagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of triaging data quality in records, routing them appropriately, and ensuring that data is correctly categorized based on its completeness and confidence.

Core Features & Use Cases

  • Data Quality Assessment: Evaluates records for completeness and confidence levels.
  • Automated Routing: Routes records to 'done', 'needs_review', or 'unsalvageable' based on criteria.
  • Use Case: Ideal for use in data cleaning pipelines where an automated check on the quality of records is necessary before further processing.

Quick Start

Use the DataQualityTriageAgent skill to triage a record with the input data 'record_data'.

Frequently Asked Questions about DataQualityTriageAgent

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

FAQPage Schema
How do I automate data quality triage in a data cleaning pipeline?▼

Data quality triage is automated by evaluating record completeness and confidence scores to route data to final destinations. This Skill categorizes records as ready for processing, requiring review, or unsalvageable based on metrics from previous processing stages.

What is automated record routing based on data confidence assessment?▼

Record routing based on confidence assessment is the process of directing records to destinations like 'done' or 'needs_review' depending on their quality scores. It ensures only complete, confident records proceed while poor-quality data is flagged for review or rejection.

How do I route real estate records needing data review or rejection?▼

You route real estate records by applying logic to completeness and confidence metrics from previous stages. Records are sent to 'done' if ready, 'needs_review' if incomplete but salvageable, or marked 'unsalvageable' if they fail quality criteria.

Can I use data triage logic for records outside the real estate domain?▼

Data triage logic can potentially apply to other domains, but this Skill operates specifically on real estate domain data. It utilizes completeness and confidence metrics tailored to real estate records within a data cleaning pipeline.

What are the limitations of automating data completeness assessment?▼

Automating data completeness assessment is limited by its reliance on metrics from previous processing stages. It cannot generate confidence scores itself; it only routes records based on pre-existing completeness data to categorize them as done, needs_review, or unsalvageable.

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