Audit SwiftData and Core Data models for serialization and migration issues.
npx skills add https://github.com/Terryc21/radar-suite --skill data-model-radar
Please help me install this Agent Skill. Skill: data-model-radar Source: https://github.com/Terryc21/radar-suite/tree/main/skills/data-model-radar Command: npx skills add https://github.com/Terryc21/radar-suite --skill data-model-radar
Audits the SwiftData/Core Data model layer for field completeness, serialization gaps, relationship integrity, semantic ambiguity, dead fields, and migration safety. Finds model-layer bugs that manifest as workflow bugs.
Run the data-model-radar skill on your Swift project to perform a full model audit and inspect the resulting handoff for next steps.
High-intent search queries and answers about installing and using this skill.
To audit Swift data models for field completeness, run a model-layer scan across seven domains to surface field gaps, serialization issues, relationship integrity problems, and actionable fixes.
Checking Core Data migration safety requires reading migration schemas to diff against current model definitions, surfacing concrete migration risks and semantic ambiguities before deployment.
Detecting dead fields and relationship integrity issues in SwiftData involves auditing the model layer to identify phantom fields and cross-model consistency problems that manifest as workflow bugs.
Yes, the model audit works with both SwiftData and Core Data frameworks, reading model definitions, serialization targets, and migration schemas to surface concrete findings with actionable fixes.
Swift data model workflow bugs appear at runtime when field gaps, semantic ambiguities, or serialization issues exist in the model layer, which a seven-domain audit can surface before deployment.
Automated data model audits in Swift projects surface model-level findings and handoffs for remediation, but they do not automatically fix dead fields or resolve migration risks without downstream intervention.
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