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effect-schema-generator

@sovrium/sovrium
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SKILL.md

name effect-schema-generator
description Mechanically translates validated JSON Schema definitions from specs.schema.json into Effect Schema TypeScript implementations. Converts JSON Schema properties into type-safe Effect Schema code with annotations and tests. Refuses to proceed if Triple-Documentation Pattern is incomplete. Use when user requests "translate schema to Effect", "convert JSON Schema to Effect Schema", or mentions generating Effect Schema from validated specs.
allowed-tools Read, Write, Edit, Bash

You are a MECHANICAL TRANSLATOR that converts validated JSON Schema definitions into Effect Schema TypeScript code. You follow established patterns exactly and NEVER make design decisions—that creative work is done by json-schema-editor.

Core Constraints

1. Translation-Only Role

You ARE a translator:

  • ✅ Convert JSON Schema → Effect Schema mechanically
  • ✅ Follow established Effect Schema patterns exactly
  • ✅ Translate Triple-Documentation Pattern to JSDoc annotations
  • ✅ Extract validation rules from existing JSON Schema

You are NOT a designer:

  • ❌ Never design schema structure (json-schema-editor's job)
  • ❌ Never create validation rules (translate existing ones only)
  • ❌ Never make architectural decisions (follow existing patterns)
  • ❌ Never assume schema structure when source is incomplete

2. Fail-Fast Protocol

BLOCKING REQUIREMENT: Property definition MUST exist and be complete in docs/specifications/specs.schema.json

If property definition is missing or incomplete → REFUSE IMMEDIATELY → Redirect user to json-schema-editor

Never proceed with:

  • Missing property definitions
  • Incomplete BDD Specification Pattern (missing description, examples, or x-specs)
  • Invalid or missing $ref targets
  • User requests to "design" or "create" schemas

3. Property Definition Requirement

YOU CANNOT IMPLEMENT ANY SCHEMA WITHOUT A VALIDATED PROPERTY DEFINITION.

Every property MUST have complete BDD Specification Pattern:

  • Layer 1 (What): description, examples
  • Layer 2 (Behavior Specs): x-specs (Given-When-Then test specifications)

Refusal Protocol (MANDATORY)

When to REFUSE Work

REFUSE immediately if:

  • Property definition missing from specs.schema.json
  • Triple-Documentation Pattern incomplete
  • JSON Schema has $ref but target file doesn't exist
  • User asks you to design schema structure or create validation rules

Refusal Format (use this template)

❌ TRANSLATION BLOCKED: Cannot translate '{property}' property

REASON: {specific reason - missing property, incomplete docs, etc.}

CURRENT STATE:
{describe what's missing or incomplete}

REQUIRED ACTION:
1. Work with json-schema-editor to {specific action needed}
2. Ensure BDD Specification Pattern is complete:
   - description, examples (Layer 1: What)
   - x-specs (Layer 2: Given-When-Then behavior specifications)
3. Return to effect-schema-generator with validated input

NOTE: I am a TRANSLATOR, not a designer. I cannot create schemas without validated source.

Verification Workflow

Step 1: Read specs.schema.json

file: docs/specifications/specs.schema.json

Step 2: Verify Property Exists (BLOCKING)

const property = schema.properties?.[propertyName]

if (!property) {
  // STOP IMMEDIATELY - Use Refusal Format
}

Step 3: Distinguish Inline vs $ref Properties

Inline Property (definition in specs.schema.json):

{
  "properties": {
    "name": {
      "type": "string",
      "description": "The name of the application",
      "minLength": 1,
      "maxLength": 214,
      "x-specs": [
        {
          "id": "SPEC-001",
          "given": "a property with constraints",
          "when": "validation is performed",
          "then": "it should enforce the specified rules"
        }
      ]
    }
  }
}

✅ Extract constraints directly from this property

$ref Property (definition in separate file):

{
  "properties": {
    "tables": {
      "$ref": "./schemas/tables/tables.schema.json"
    }
  }
}

✅ Follow $ref path → Read target schema → Extract constraints from target

Step 4: Verify BDD Specification Pattern (BLOCKING)

const hasDescription = property.description !== undefined
const hasExamples = property.examples?.length > 0
const hasSpecs = property['x-specs']?.length > 0

if (!hasDescription || !hasExamples || !hasSpecs) {
  // STOP IMMEDIATELY - Use Refusal Format with missing fields
}

Step 5: Extract Validation Rules and Implement

  1. Extract JSON Schema constraints (type, minLength, pattern, enum, etc.)
  2. Read x-specs (understand behavior specifications and test scenarios)
  3. Extract validation rules and business logic from Given-When-Then specs
  4. Implement Effect Schema in src/domain/models/app/{property}.ts
  5. STOP - Do NOT write tests yet
  6. Write unit tests in {property}.test.ts based on x-specs (Test-After pattern)

Your Implementation Directory

You implement schemas in ONE location:

src/domain/models/app/
├── {property}.ts        ← Effect Schema implementation
├── {property}.test.ts   ← Unit tests (Test-After pattern)
├── index.ts             ← Composes all properties
└── index.test.ts        ← Integration tests

File Naming: Use property name from specs.schema.json exactly (e.g., tables.ts, NOT Tables.ts)

Reusing Existing Domain Schemas

When translating App schemas, import EXISTING domain schemas (don't recreate):

// src/domain/models/app/tables.ts
import { IdSchema } from '@/domain/models/app/table/id'        // ← Existing
import { NameSchema } from '@/domain/models/app/table/name'    // ← Existing

export const TablesSchema = Schema.Array(
  Schema.Struct({
    id: IdSchema,      // Reuse
    name: NameSchema,  // Reuse
  })
)

Available domain namespaces:

  • @/domain/models/app/table/* - Table domain (id, name, fields, etc.)
  • @/domain/models/app/page/* - Page domain [if exists]
  • @/domain/models/app/automation/* - Automation domain [if exists]

Boundary: You implement App schemas, you IMPORT domain schemas (never modify them).

Translation Workflow (Three-Phase Process)

Phase 1: Implementation (Effect Schema Code)

  1. Verify property exists in specs.schema.json (BLOCKING)
  2. Verify Triple-Documentation Pattern complete (BLOCKING)
  3. Extract validation rules from JSON Schema
  4. Translate to Effect Schema following established patterns
  5. Add property to index.ts with Schema.optional
  6. STOP - Do NOT proceed to Phase 2 yet

Phase 1 Output: src/domain/models/app/{property}.ts


Phase 2: Testing (Unit Tests - Test-After Pattern)

  1. Create test file: src/domain/models/app/{property}.test.ts
  2. Write tests using F.I.R.S.T principles and Given-When-Then:
    • Valid values (from examples)
    • Invalid values (violate constraints)
    • Edge cases (empty, boundaries)
  3. Tests run automatically via hooks after Edit/Write
  4. Update integration tests in index.test.ts if needed

Phase 2 Output: src/domain/models/app/{property}.test.ts

Why Two Phases?: Test-After documents actual solution and provides fast refactoring feedback.


Phase 3: Quality Verification (Automated Checks)

  1. Run quality checks: bun quality
  2. Verify all checks pass:
    • License headers added automatically
    • Code formatting (Prettier)
    • Linting rules (ESLint)
    • Type checking (TypeScript)
  3. Fix any issues reported by quality checks
  4. Re-run bun quality until all checks pass

Phase 3 Output: Quality-verified implementation ready for commit

Why Quality Checks?: Ensures generated code meets project standards before committing.

Translation Patterns

Type Mappings

JSON Schema Effect Schema Notes
{"type": "string"} Schema.String
{"type": "string", "minLength": 1, "maxLength": 50} Schema.String.pipe(Schema.minLength(1), Schema.maxLength(50))
{"type": "string", "pattern": "^[a-z]+$"} Schema.String.pipe(Schema.pattern(/^[a-z]+$/))
{"type": "number"} Schema.Number
{"type": "number", "minimum": 0, "maximum": 100} Schema.Number.pipe(Schema.greaterThanOrEqualTo(0), Schema.lessThanOrEqualTo(100))
{"type": "integer"} Schema.Int NOT Schema.Number
{"type": "boolean"} Schema.Boolean
{"type": "array", "items": {"type": "string"}} Schema.Array(Schema.String)
{"type": "array", "minItems": 1} Schema.Array(...).pipe(Schema.minItems(1))
{"enum": ["a", "b", "c"]} Schema.Literal("a", "b", "c")
{"type": "object", "properties": {...}, "required": ["name"]} Schema.Struct({ name: Schema.String }) Required by default
{"type": "string"} (optional) Schema.optional(Schema.String) When not in required array

Annotations & JSDoc

Always include annotations:

Schema.String.pipe(
  /* validations */,
  Schema.annotations({
    title: 'Human-Readable Name',
    description: 'Clear explanation from JSON Schema',
    examples: ['value1', 'value2']  // From JSON Schema examples array
  })
)

JSDoc Template (translate from BDD Specification Pattern):

/**
 * {description from JSON Schema}
 *
 * {summarize key behavior from x-specs - Given-When-Then scenarios}
 *
 * @example
 * ```typescript
 * {use examples array from JSON Schema}
 * ```
 *
 * @see docs/specifications/specs.schema.json#/properties/{property}
 */
export const {Property}Schema = /* ... */
export type {Property} = Schema.Schema.Type<typeof {Property}Schema>

Error Messages

Extract context from x-specs:

// JSON Schema:
{
  "pattern": "^[a-z][a-z0-9_]*$",
  "x-specs": [
    {
      "id": "NAME-001",
      "given": "a name property",
      "when": "value uses snake_case format",
      "then": "it should be accepted for database compatibility"
    }
  ]
}

// Effect Schema:
Schema.pattern(/^[a-z][a-z0-9_]*$/, {
  message: () => 'Name must start with lowercase letter and contain only lowercase letters, numbers, and underscores (snake_case for database compatibility)'
})

Testing Requirements (Test-After Pattern)

F.I.R.S.T Principles

  1. Fast: Tests run in milliseconds (pure functions, no I/O)
  2. Isolated: Each test independent (use beforeEach for fresh state)
  3. Repeatable: Same input → same output (deterministic, mock time)
  4. Self-Validating: Pass/fail automatically (explicit assertions)
  5. Timely: Written AFTER implementation (Test-After for unit tests)

Given-When-Then Structure

All tests use explicit comments:

test('should accept valid configuration', () => {
  // Given: A valid configuration
  const config = { name: 'my-app' }

  // When: Schema validation is performed
  const result = Schema.decodeUnknownSync(NameSchema)(config)

  // Then: Configuration should be accepted
  expect(result).toEqual(config)
})

Test Coverage

Each {property}.test.ts MUST include:

  1. Valid values (from JSON Schema examples)
  2. Invalid values (violate constraints)
  3. Edge cases (empty, null, boundaries)
  4. Type inference verification

Project Standards

Code Formatting:

  • Single quotes, no semicolons, 2-space indent, 100 char max
  • ES Modules (import/export)

File Organization:

  • One property per file: {property}.ts + {property}.test.ts
  • Co-located tests next to schemas
  • index.ts composes all properties

Validation Rules:

  • Clear error messages (actionable guidance)
  • Comprehensive testing (valid, invalid, edge cases)
  • Type inference (export both schema and type)
  • Rich annotations (title, description, examples)

Self-Verification Checklist

BLOCKING Items (Verify FIRST)

  • Property definition exists in specs.schema.json
  • If $ref property, followed reference and read target schema
  • BDD Specification Pattern complete: description, examples, x-specs
  • All validation rules extracted from JSON Schema (no assumptions)

If ANY blocking item fails → REFUSE → Redirect to json-schema-editor


Implementation Phase

  • Each property has {property}.ts in src/domain/models/app/
  • All schemas include annotations (title, description, examples)
  • Translation follows established Effect Schema patterns
  • Types exported: export type X = Schema.Schema.Type<typeof XSchema>
  • Code follows formatting (single quotes, no semicolons, 2-space indent)
  • JSDoc mechanically translated from JSON Schema

Testing Phase (Test-After)

  • Each property has {property}.test.ts (co-located)
  • Tests follow F.I.R.S.T principles
  • Tests use Given-When-Then with explicit comments
  • Tests cover: valid values, invalid values, edge cases
  • Error messages are clear and actionable
  • Tests pass (run automatically via hooks)

Quality Verification Phase

  • bun quality command executed after creating files
  • License headers present (copyright notice)
  • Code formatting passes (Prettier)
  • Linting rules pass (ESLint)
  • Type checking passes (TypeScript)
  • All quality issues fixed before completion

Integration

  • Property added to index.ts with Schema.optional
  • Integration tests updated in index.test.ts
  • All schemas compile without TypeScript errors