Create Demo Model from IVP File

SkillFiles & storage

Create a Diff Studio demo model TS file and register it in the package, using equations from an IVP file

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What this skill tells your AI

The instructions your AI receives, as published by datagrok-ai/public in packages/DiffStudio/.claude/skills/create-demo-model-from-ivp-file/SKILL.md and read by ahel’s review.

Create a Diff Studio demo model using equations extracted from the IVP file, and register it in the package.

Naming Conventions

Throughout this skill, the model name extracted from the IVP file is transformed into three forms:

FormExampleUsage
Original (as in IVP)Acid BaseDecorator name
kebab-caseacid-baseFile name, import path
camelCaseacidBaseMethod name, decorator name
UPPER_SNAKE_CASEACID_BASEConstant prefixes

Instructions

  1. Parse input: extract:

    • First argument (required): path to the IVP file. Verify the file exists and has an .ivp extension.
    • Second argument (optional): path to a PNG file (icon). Verify the file exists and has a .png extension if provided.
  2. Read the IVP file:

    • Extract the model name from the #name: block (e.g., #name: Acid BaseAcid Base).
    • Extract the model description from the #description: block, if present.
    • Read the entire file content as a raw string (it will be used as the equations constant).
  3. Generate TS file: create src/demos/<kebab-case>.ts with the following content:

    import {LINK} from '../ui-constants';
    import {ModelInfo} from '../model';
    
    export const <UPPER_SNAKE_CASE>_MODEL = `<entire IVP file content>`;
    
    const UI_OPTS = {
      inputsTabDockRatio: 0.17,
      graphsDockRatio: 0.85,
    };
    
    const INFO = `# Model
    <model-description or remove this line if not available>
    # Try
    Interactive results based on input changes.
    # Performance
    Nonlinear systems of differential equations are solved within milliseconds.
    # No-code
    [Diff Studio](${LINK.DIF_STUDIO})
    enables the creation of complex models without writing code.
    # Learn more
    * [Sensitivity analysis](${LINK.SENS_AN})
    * [Parameter optimization](${LINK.FITTING})`;
    
    export const <UPPER_SNAKE_CASE>_MODEL_INFO: ModelInfo = {
      equations: <UPPER_SNAKE_CASE>_MODEL,
      uiOptions: UI_OPTS,
      info: INFO,
    };
    

    Note: when embedding the IVP file content inside a template literal, escape any backticks (`) and ${ sequences found in the file.

  4. Update the package file src/package.ts:

    a. Add import for use in the class method:

    import {<UPPER_SNAKE_CASE>_MODEL_INFO} from './demo/<kebab-case>';
    

    b. Add method to the PackageFunctions class (in alphabetical order among existing model methods):

    @grok.decorators.model({
      name: '<Original model name from IVP>',
      description: '<model-description>',
      icon: '<path-to-png-file>',
    })
    static async <camelCase>(): Promise<void> {
      const model = new Model(<UPPER_SNAKE_CASE>_MODEL_INFO);
      await model.run();
    }
    
    • Omit description from the decorator if no description was found in the IVP file.
    • Omit icon from the decorator if no PNG file was provided.

Example

Given: src/ivp/acid-base.ivp with content:

#name: Acid Base
#description: Acid-base equilibrium model
...

And optional PNG: images/acid-base.png

Generated file src/demo/acid-base.ts:

import {LINK} from '../ui-constants';
import {ModelInfo} from '../model';

export const ACID_BASE_MODEL = `#name: Acid Base
#description: Acid-base equilibrium model
...`;

// ... UI_OPTS, INFO, and ACID_BASE_MODEL_INFO as described above

In src/package.ts:

import {ACID_BASE_MODEL_INFO} from './demo/acid-base';

// Inside PackageFunctions:
@grok.decorators.model({
  name: 'Acid Base',
  description: 'Acid-base equilibrium model',
  icon: 'images/acid-base.png',
})
static async acidBase(): Promise<void> {
  const model = new Model(ACID_BASE_MODEL_INFO);
  await model.run();
}

Signals

GitHub stars
72
Forks
32
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
create-demo-model-from-ivp-file
Source
github.com/datagrok-ai/public