Medical Illustration
Security scan passedHelps your agent make evidence-backed medical illustrations, patient comics and research figures, each structure traced to a reference.

Teaches your agent FHIR development: R4 and R5 resources, servers and clients, profile validation, SMART on FHIR and FSH guides.
by phenoml· Health & fitnessUnclaimed · Yours? Claim it
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About
PhenoML's FHIR Developer Skills is an Agent Skill for building software on FHIR, the HL7 standard for exchanging healthcare data. It gives your agent working patterns for FHIR R4, R4B and R5 in TypeScript and Python, from modelling resources and running a server to validating against profiles and writing Implementation Guides in FHIR Shorthand. What it teaches your agent - Managing FHIR packages: downloading and caching core packages and Implementation Guides from the FHIR package registry, and indexing their profiles, search parameters and terminology - Modelling resources with Pydantic and fhir.resources in Python, or FHIR types in TypeScript - Building FHIR servers and clients with FastAPI or Express: CRUD, search parameters, _include and _revinclude, batch and transaction Bundles, and OperationOutcome errors - Validating resources against profiles such as US Core, including must-support elements and terminology bindings - SMART on FHIR: OAuth 2.0 app launch, token exchange and scopes - Writing FHIR Shorthand with SUSHI, and converting FHIR JSON to FSH with GoFSH - Unit and integration testing for FHIR APIs What's included - The skill, with reference guides on search parameters, validation, SMART on FHIR, testing and FSH authoring - Templates for a Patient, a vital-signs Observation, a search Bundle and a CapabilityStatement, plus a starter FastAPI FHIR server - A Python script that downloads and indexes FHIR packages, and a TypeScript resource validator How to install it It installs as a Claude Code plugin from PhenoML's own marketplace (PhenoML/ClaudeFHIRSkill), or you can copy its SKILL.md into your skills folder. Good to know - It's for developers building healthcare software. It doesn't connect to an EHR or any patient data by itself; its package script only downloads public specification packages from packages.fhir.org. - It's guidance for writing code, not clinical or medical advice. - PhenoML provides it as-is under the Apache 2.0 licence. The plugin's files still credit Topology Health; its GitHub organisation is now PhenoML.
Once it’s added
“Create a FHIR Patient endpoint in Python using FastAPI.”
“How do I validate a Patient resource against the US Core Patient profile?”
“Implement SMART on FHIR authorization for my app.”
“Add _include and _revinclude support to my FHIR search API.”
“Set up SUSHI and write a FHIR Shorthand profile for a new Implementation Guide.”
“Convert these FHIR JSON profiles to FSH with GoFSH.”
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Skills people install alongside FHIR Developer Skills.
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Write a reviewRuns on your machine.
Runs on your machine.
Runs on your machine.
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.copilot/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.cursor/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.claude/skills/fhir-software
/plugin marketplace add PhenoML/ClaudeFHIRSkill /plugin install fhir-developer-skills@fhir-developer-skills
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.agents/skills/fhir-software
Runs on your machine.
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.gemini/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill .agents/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.openclaw/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.config/opencode/skills/fhir-software
Runs on your machine.
npx -y degit PhenoML/ClaudeFHIRSkill ~/.hermes/skills/fhir-software
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Safe to install in every agent it supports. Runs in your agent, as instructions.
Skills people install alongside FHIR Developer Skills.
Helps your agent make evidence-backed medical illustrations, patient comics and research figures, each structure traced to a reference.
Body fat from skinfolds, one-rep max estimates and macro targets by body type, worked out with a tested Python library in your agent.