reason.healthcare
Official@reason-healthcare
Products and services focused on clinical reasoning by Vermonster.
Agent Skills by reason.healthcare
Showing 18 vetted skills indexed across 1 GitHub repositories.
speckit-checklist
Generate unit-test style checklists to validate software feature requirements quality.
speckit-constitution
Synchronize governance constitutions in .specify/memory/constitution.md with semantic versioning.
speckit-implement
Execute speckit task plans across setup, tests, core, integration, and polish phases.
speckit-taskstoissues
Convert tasks into dependency-ordered GitHub issues for spec-kit repositories.
speckit-clarify
Identify underspecified areas in feature specifications and log clarifications.
speckit-plan
Automate SPEC-like implementation planning workflows to generate design artifacts like research.md and contracts.
speckit-analyze
Analyzes spec.md, plan.md and tasks.md inconsistencies after task generation.
speckit-specify
Convert natural language feature ideas into structured, testable specs.
speckit-tasks
Translate spec-kit design artifacts into a dependency-ordered tasks.md.
<skill-name>
Define front-matter-driven Skill units with entry points for rh-skills workflows.
rh-inf-discovery
Organize healthcare informatics evidence into discovery-plan.yaml and discovery-readout.md.
rh-inf-extract
Plan, derive, and validate L2 clinical artifacts from normalized sources.
rh-inf-verify
Coordinate topic-wide verification across the RH lifecycle into a read-only report.
rh-inf-resolve
Resolve open conflicts across extract-plan.yaml and formalize-plan.yaml before implementation.
rh-inf-formalize
Translate L2 structured artifacts into L3 FHIR computable resources.
rh-inf-ingest
Plan and execute end-to-end clinical source ingestion workflows via the rh-skills CLI.
rh-inf-status
Summarizes project health and per-topic readiness from rh-skills status.
rh-inf-cql
Extract, translate, test, and package CQL libraries from structured YAML using rh-skills.
Frequently Asked Questions About reason.healthcare
FAQPage SchemaWhat specific clinical tasks are enabled by these capabilities?▼
These capabilities enable the end-to-end ingestion of clinical sources, the extraction of L2 clinical artifacts, and the formalization of these artifacts into L3 FHIR computable resources. Additionally, users can package and test CQL libraries directly from structured YAML definitions to ensure clinical logic accuracy.
Which target personas benefit from these informatics skills?▼
Clinical informaticists, healthcare software engineers, and compliance officers benefit from these skills. The framework is designed for professionals managing complex clinical data lifecycles, requiring rigorous verification of informatics evidence and the translation of natural language requirements into testable, structured technical specifications.
What are the prerequisites for implementing these clinical reasoning units?▼
Implementation requires a repository structure compatible with the spec-kit standard, including defined front-matter for skill units. Users must maintain governance constitutions in .specify/memory/constitution.md and ensure clinical source data is normalized for ingestion into the rh-skills environment to facilitate successful artifact extraction and verification.