conch-generator

---

name: conch-generator description: This skill helps you generate a new OpenMRS ESM microfrontend (DHTI conch) from this template. Use this skill when you need to create a new DHTI-enabled microfrontend that integrates with the OpenMRS 3.x ecosystem.

Skill Purpose

DHTI is a platform to rapidly prototype, share, and test GenAI healthcare applications within an EHR. This skill guides you through:

• Setting up a development environment
• Scaffolding a new microfrontend project for GenAI powered backend services

When to Use This Skill

Use this skill when you need to:

• Create a new OpenMRS ESM microfrontend from this template
• Build a DHTI-enabled healthcare application
• Integrate GenAI capabilities into an OpenMRS microfrontend
• Develop patient-context-aware UI components for OpenMRS

Instructions

Environment Setup and Project Scaffolding

• Read and internalize the original user feature request:

  • Understand the clinical functionality needed.
  • Identify the UI components, extensions, workflows, and pages required.
  • Note specific DHTI service name that needs to be used.

• Decide on a simple but unique name for your microfrontend. (e.g., glycemic, heart-rate, skin-tone etc.). IN THE INSTRUCTIONS BELOW, REPLACE <<name>> WITH YOUR CHOSEN NAME.

• Scaffold a new microfrontend project using the DHTI cli:

  Copynpx dhti-cli@latest conch init -w workspace -n esm-dhti-<<name>>
  

• Adapt the code:

  • The above command creates a new directory at workspace/openmrs-esm-dhti with the monorepo.
  • In the packages/ directory of the monorepo (workspace/openmrs-esm-dhti/packages), find your newly created microfrontend esm-dhti-<<name>>. THIS IS WHERE YOU WILL DO YOUR DEVELOPMENT.
  • Update the package.json in packages/esm-dhti-<>: Change the name field to @openmrs/esm-<>. Update the description, author, and other relevant fields.
  • Update index.ts as below:
  • Set the value of moduleName variable to @openmrs/esm-<<name>>.
  • Set the value of featureName variable to dhti-<<name>>.
  • Rename the root.* family of files to have the name of your first page (If applicable).
  • Update the contents of the objects in config-schema.ts. Start filling them back in once you have a clear idea what will need to be configured.
  • Update the contents of translations/en.json.
  • Update the contents of this README and write a short explanation of what you intend to build. Links to planning or design documents can be very helpful.

Planning and Notes

• Write detailed notes on what you plan to implement, how you plan to implement it, and any questions or uncertainties you have. This will help guide your development process. Use the workspace/openmrs-esm-dhti/notes/ directory for this purpose.

• Plan UI components, extensions, workflows, and pages:

  • Read and internalize https://r.jina.ai/https://o3-docs.openmrs.org/docs/frontend-modules/overview to understand how OpenMRS frontend modules work.
  • Read through the user requirements above again and plan the UI components, extensions, workflows, and pages you will need to implement the feature.
  • Write down a list of these components and their responsibilities in workspace/openmrs-esm-dhti/notes/plan.md for future reference.

Routing and Extension Setup

• Read src/index.ts again, and plan how to set up the extensions and routes for your microfrontend.

  • The index.ts file in an OpenMRS frontend module typically includes the following:
    • Imports: Essential imports from @openmrs/esm-framework like getSyncLifecycle, getAsyncLifecycle, and defineConfigSchema. You may also import your React components here.
    • Module and Feature Names: Constants defining the unique moduleName (conventionally prefixed with @openmrs/esm-) and a descriptive featureName. You updated this before.
    • startupApp function: This function is the module's activator. It is often used to call defineConfigSchema to register the module's configuration schema with the system.
    • Lifecycle Exports: Components, pages, extensions, modals, or workspaces are wrapped in lifecycle functions (getSyncLifecycle or getAsyncLifecycle) and exported as named constants. These exports are then referenced in the src/routes.json file.
    • Translation Support: An importTranslation constant is used to tell the app shell where to find translation files, enabling internationalization.
    • Lifecycle functions may be synchronous (getSyncLifecycle) or asynchronous (getAsyncLifecycle) depending on whether the component requires async operations like data fetching.

• Reference the component names in your src/routes.json file to define routes or extensions. Read notes/slots.md to understand available extension slots. Update src/routes.json accordingly.

Patient and Encounter Data in Components

• Getting patient and encounter data in components:
  • When an ESM is rendered inside a patient context (e.g., patient chart, visit workspace, form workspace), the framework automatically injects context props into your root component.
  • These props typically include:
    • patient (full patient object)
    • patientUuid
    • encounterUuid (when inside an encounter context)
    • visitUuid (when inside a visit context)
  • When a route is mounted under a patient or encounter workspace, the framework resolves context from the URL and global store.
  • You can access them in two ways:
    • A. Direct Props (most common):

      Copyexport default function MyComponent({ patientUuid, encounterUuid }) {
          return (
              <div>
                  Patient: {patientUuid}
                  Encounter: {encounterUuid}
              </div>
          );
      }
      

    • B. Using Framework Hooks:

      Copyimport { usePatient, useVisit, useEncounter } from "@openmrs/esm-framework";
      
      const MyComponent = () => {
          const patient = usePatient();
          const encounter = useEncounter();
      
          console.log(patient?.uuid);
          console.log(encounter?.uuid);
      
          return <div>...</div>;
      };
      

GenAI Outputs

• Getting GenAI outputs:
  • Use the useDhti route from the monorepo (esm-dhti-utils) to call the DHTI service and get GenAI outputs. You need to update the DHTI service route (dhtiRoute) in the config-schema.ts file. If the user has not provided it above, ask for it using a prompt. If the user has only provided the DHTI service name, construct the full route as follows: http://localhost:8001/langserve/dhti_elixir_/cds-services/dhti-service. Otherwise use the default value as 'http://localhost:8001/langserve/dhti_elixir_schat/cds-services/dhti-service'

Implementation

• Implement the feature:
  • Start implementing the feature based on your plans. Follow best practices for React and OpenMRS frontend-module development. When you are in doubt refer to the implementation guide here: https://r.jina.ai/https://o3-docs.openmrs.org/docs/frontend-modules/overview. Test your code frequently to ensure it works as expected.

Testing

• Write tests:
  • Write unit and integration tests for your components and logic. Use the testing framework set up in the template. Ensure good test coverage to catch potential issues early.
  • Use yarn to build and test your microfrontend:

    Copycd workspace/openmrs-esm-dhti
    yarn build
    yarn test
    

Documentation

• Update documentation:
  • Update the README.md with details about your microfrontend, including its purpose, setup instructions, and usage. Document any configuration options in config-schema.ts. Extended notes and future plans can go in the workspace/openmrs-esm-dhti/notes/ directory.

Final Review and Cleanup

• Final review and cleanup:
  • Review your code for any unused imports, variables, or commented-out code. Ensure your code follows consistent styling and conventions. Run the application to do a final test of all features and ensure everything works as expected.

Example Usage

See examples/conch-sample-request.md for a sample feature request that demonstrates how to use this skill.

Additional Resources

• OpenMRS Frontend Modules Overview
• OpenMRS Extension System
• DHTI GitHub Repository