スキル一覧に戻る
mark64oswald

generative-framework

by mark64oswald

Skills-first synthetic healthcare data generation - Claude Skills replacing Python libraries

6🍴 1📅 2026年1月8日
GitHubで見るManusで実行

SKILL.md


name: Generative Framework description: Conversation-driven specification and execution of healthcare data generation at scale triggers:

  • build profile
  • create profile
  • generate cohort
  • build journey
  • create journey
  • generate journey
  • batch generate
  • quick generate
  • distribution
  • specify
  • at scale

Generative Framework Skills

Use these skills when building specifications for data generation or executing batch generation.

Quick Reference

SkillUse WhenLocation
Profile BuilderDefining population characteristics for batch generationbuilders/profile-builder.md
Journey BuilderDefining temporal event sequencesbuilders/journey-builder.md
Quick GenerateSimple single-entity generationbuilders/quick-generate.md
Profile ExecutorExecuting a profile specificationexecutors/profile-executor.md
Journey ExecutorExecuting a journey specificationexecutors/journey-executor.md
Cross-Domain SyncCoordinating cross-product generationexecutors/cross-domain-sync.md

Trigger Phrases

Building Specifications

  • "Build a profile for 100 Medicare members"
  • "Create a journey for diabetic patients"
  • "Specify a commercial cohort with CHF"
  • "Define a surgical episode journey"

Executing Specifications

  • "Generate patients from this profile"
  • "Execute the diabetic journey for 50 patients"
  • "Run batch generation for this cohort"

Using Templates

  • "Use the Medicare diabetic template"
  • "Start with the surgical episode journey"
  • "Generate using the commercial healthy profile"

Workflow Overview

1. Build a Profile (Optional)

Build a profile for 200 Medicare Advantage members:
- Age 65-85, normal distribution centered at 74
- 40% with Type 2 diabetes
- 30% with heart failure
- San Diego County geography

2. Build a Journey (Optional)

Create a first-year diabetic journey:
- Initial diagnosis visit with labs
- Metformin prescription
- Quarterly follow-ups with A1c
- Possible titration to second agent

3. Execute Generation

Generate the cohort using this profile and journey
Save as cohort "ma-diabetic-cohort-2025"

Distribution Types

TypeUse CaseExample
categoricalDiscrete choicesGender: M/F/Other
normalBell curveAge centered at 72
log_normalSkewed positiveHealthcare costs
uniformEqual probabilityRandom day in range
explicitSpecific valuesExactly these NDCs

See distributions/distribution-types.md for details.

Journey Patterns

PatternUse CaseExample
linearSimple sequenceOffice visit → Lab → Follow-up
branchingDecision pointsER → Admit OR Discharge
protocolTrial schedulesCycle 1 Day 1, Day 8, Day 15
lifecycleLong-term patternsNew member first year

See the journeys/ folder for pattern details.

Integration with Products

The Generative Framework orchestrates all HealthSim products:

When GeneratingProducts InvolvedCross-Domain Triggers
Patient cohortPatientSim, NetworkSimProvider assignment
Member claimsMemberSim, PatientSim, NetworkSimEncounter → Claim
Pharmacy fillsRxMemberSim, PatientSim, NetworkSimRx → Fill, DUR check
Trial subjectsTrialSim, PatientSim, NetworkSimSubject ↔ Patient linking

Templates

Pre-built profiles and journeys for common use cases:

Profile Templates

Journey Templates


Implementation Status: Foundation phase. See GENERATIVE-FRAMEWORK-PROGRESS.md for details.

スコア

総合スコア

60/100

リポジトリの品質指標に基づく評価

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

レビュー

💬

レビュー機能は近日公開予定です