Organize and retrieve healthcare pattern definitions from the myPub library.
npx skills add https://github.com/mark64oswald/myPub --skill healthcare-patterns
Please help me install this Agent Skill. Skill: healthcare-patterns Source: https://github.com/mark64oswald/myPub/tree/main/skills/patterns/healthcare Command: npx skills add https://github.com/mark64oswald/myPub --skill healthcare-patterns
This Skill guides Claude in using healthcare-specific patterns from the myPub pattern library, enabling faster analytics modeling and consistent pattern usage across healthcare datasets.
Load the Healthcare Patterns Skill into Claude Desktop and ask for example pattern retrieval, e.g., "Show me the healthcare.dimensional.dim_member pattern and its description."
High-intent search queries and answers about installing and using this skill.
Healthcare data patterns are canonical definitions that guide dimensional modeling across claims, members, providers, diagnoses, and procedures. They provide standardized structure for designing data models, ensuring consistent analytics across healthcare datasets.
You can retrieve healthcare pattern definitions by requesting specific pattern IDs like healthcare.dimensional.dim_member. The Skill loads canonical patterns, descriptions, and usage guidance from the pattern library covering dimensional, entity, metrics, and reference-data categories.
Yes, healthcare patterns support data quality checks and pattern validation across claims, members, providers, diagnoses, and procedures. The pattern definitions include usage guidance for implementing validation rules within healthcare data models.
No dependencies are required. The Skill operates standalone within Claude Desktop to retrieve and present canonical healthcare pattern IDs, descriptions, and usage guidance from the patterns/healthcare directory.
Using a canonical pattern library promotes consistent design across projects by reusing predefined healthcare patterns for dimensional, entity, metrics, and reference-data structures. This ensures standardized modeling across claims, provider, and diagnosis domains.
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