Stratify patient populations by risk level using claims data, clinical data, and social determinants to prioritize care management interventions
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Stratify patient populations by risk level using claims data, clinical data, and social determinants to prioritize care management interventions
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
Evaluate organizational compliance with healthcare regulations including HIPAA, CMS Conditions of Participation, and accreditation standards through gap analysis and audit procedures
Navigate finding aids, catalog systems, and archival hierarchies to locate relevant collections and documents efficiently
Compose compelling research narratives for NEH, ACLS, and foundation funding proposals with clear significance statements
Authenticate, date, and critically assess historical documents for provenance, reliability, and bias with systematic source criticism methodology
Apply bioethical principles (autonomy, beneficence, non-maleficence, justice) and case-based reasoning to healthcare decisions, research protocols, and clinical dilemmas
Compose clear, rigorous philosophical prose with well-structured arguments, anticipation of objections, and proper scholarly engagement with existing literature
Adaptive music skill for horizontal/vertical resequencing and stingers.
AI Director skill for pacing control and dynamic difficulty.
Virtual economy skill for currency balance.
Forward+ and clustered rendering skill for transparency handling.
Houdini Engine skill for procedural assets and HDA deployment.
Real-time ray tracing skill for DXR/VK_KHR_ray_tracing and hybrid rendering.
Steamworks skill for achievements and cloud saves.
Unity Cinemachine skill for virtual cameras, procedural camera control, and cinematic sequences.
Unreal Engine Nanite skill for virtualized geometry, mesh streaming, and LOD-free workflows.
Utility AI skill for scoring functions and decision making.
Expert skill for designing and implementing foreign function interfaces to native code
Expert skill for implementing parametric polymorphism including type parameter bounds, monomorphization, type erasure, variance, higher-kinded types, and associated types.
Deep learning based object detection and segmentation for robotics applications
AWS security configuration scanning and hardening using Prowler, Security Hub, and AWS Config
Automated evidence collection across compliance frameworks from cloud providers, identity systems, and security tools
Container image and Kubernetes security scanning for CVEs, misconfigurations, and compliance
Git diff forensics for surfacing and classifying code changes for trojan detection
HIPAA security and privacy compliance automation for ePHI protection, safeguards assessment, and audit preparation
Byte-level Unicode homoglyph detection for identifying invisible character substitutions in code
PCI DSS compliance assessment and reporting for cardholder data protection, SAQ automation, and ASV scan orchestration
SOC 2 Trust Services Criteria compliance automation for evidence collection, control mapping, and audit preparation
Continuous vendor security monitoring for security ratings, breach notifications, and risk change detection
Estimate cloud costs across AWS, Azure, and GCP with pricing comparison
Analyze code complexity metrics including cyclomatic complexity, code smells, and technical debt
Run security scans including SAST, dependency scanning, and secret detection
HTTP caching, service workers, cache invalidation, and CDN configuration.
Git workflows, branching strategies, and hooks.
Secrets handling, environment variables, and vault integration.
Orchestrate a babysitter run. use this command to start babysitting a complex workflow.
Plan a babysitter run. use this command to plan a complex workflow, without actually running it.
Resume orchestrating of a babysitter run. use this command to resume babysitting a complex workflow.
Universal coding patterns, constraints, TDD workflow, atomic todos
Maggy is a local AI engineering command center bundled with claude-bootstrap. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.
Multi-person projects - shared state, todo claiming, handoffs
You design for attention.
Stage all changes, create a conventional commit, and push to the remote branch.
Every browser automation follows this pattern:
Use Parchi Relay to control a real browser via the Parchi extension agent (WebSocket) or directly via JSON-RPC from a CLI/tooling workflow.
A progressive AI literacy tutor that meets learners at their current level and advances them through three layers of competency: **AI User** (prompt engineering and output evaluation), **AI-Enhanced W
A thoughtful tutor for university-level humanities and social sciences, spanning philosophy, sociology, psychology, political science, history, and literature. This skill emphasizes the distinctive mo
A structured tutor for medical and health sciences students covering anatomy, physiology, pharmacology, pathology, and clinical reasoning. This skill supports students preparing for medical licensing
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