skills/writing-json-schemas/SKILL.md
Authors JSON Schema definitions for use with z-schema validation. Use when the user needs to write a JSON Schema, define a schema for an API payload, create schemas for form validation, structure schemas with $ref and $defs, choose between oneOf/anyOf/if-then-else, design object schemas with required and additionalProperties, validate arrays with items or prefixItems, add format constraints, organize schemas for reuse, or write draft-2020-12 schemas.
npx skillsauth add zaggino/z-schema writing-json-schemasInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Write correct, idiomatic JSON Schemas validated by z-schema. Default target: draft-2020-12.
Start every schema with a $schema declaration and type:
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {},
"required": [],
"additionalProperties": false
}
Set additionalProperties: false explicitly when extra properties should be rejected — z-schema allows them by default.
{
"type": "object",
"properties": {
"name": { "type": "string", "minLength": 1 },
"email": { "type": "string", "format": "email" },
"age": { "type": "integer", "minimum": 0, "maximum": 150 }
},
"required": ["name", "email"],
"additionalProperties": false
}
{
"type": "object",
"properties": {
"address": {
"type": "object",
"properties": {
"street": { "type": "string" },
"city": { "type": "string" },
"zip": { "type": "string", "pattern": "^\\d{5}(-\\d{4})?$" }
},
"required": ["street", "city"]
}
}
}
Use patternProperties to validate property keys by regex:
{
"type": "object",
"patternProperties": {
"^x-": { "type": "string" }
},
"additionalProperties": false
}
Use propertyNames (draft-06+) to constrain all property key strings:
{
"type": "object",
"propertyNames": { "pattern": "^[a-z_]+$" }
}
{
"type": "array",
"items": { "type": "string" },
"minItems": 1,
"uniqueItems": true
}
Use prefixItems for positional types, items for remaining elements:
{
"type": "array",
"prefixItems": [{ "type": "string" }, { "type": "integer" }],
"items": false
}
items: false rejects extra elements beyond the tuple positions.
Require at least one matching item:
{
"type": "array",
"contains": { "type": "string", "const": "admin" }
}
With count constraints (draft-2019-09+):
{
"type": "array",
"contains": { "type": "integer", "minimum": 10 },
"minContains": 2,
"maxContains": 5
}
{
"type": "string",
"minLength": 1,
"maxLength": 255,
"pattern": "^[A-Za-z0-9_]+$"
}
z-schema has built-in format validators: date, date-time, time, email, idn-email, hostname, idn-hostname, ipv4, ipv6, uri, uri-reference, uri-template, iri, iri-reference, json-pointer, relative-json-pointer, regex, duration, uuid.
{ "type": "string", "format": "date-time" }
Format assertions are always enforced by default (formatAssertions: null). For vocabulary-aware behavior in draft-2020-12, set formatAssertions: true on the validator.
{
"type": "number",
"minimum": 0,
"maximum": 100,
"multipleOf": 0.01
}
Use exclusiveMinimum / exclusiveMaximum for strict bounds:
{ "type": "integer", "exclusiveMinimum": 0, "exclusiveMaximum": 100 }
anyOf — match at least one{
"anyOf": [{ "type": "string" }, { "type": "number" }]
}
oneOf — match exactly one{
"oneOf": [
{ "type": "string", "maxLength": 5 },
{ "type": "string", "minLength": 10 }
]
}
allOf — match allUse for schema composition. Combine base schemas with refinements:
{
"allOf": [{ "$ref": "#/$defs/base" }, { "properties": { "extra": { "type": "string" } } }]
}
not — must not match{ "not": { "type": "null" } }
if / then / else (draft-07+)Conditional validation — prefer over complex oneOf when the logic is "if X then require Y":
{
"type": "object",
"properties": {
"type": { "type": "string", "enum": ["personal", "business"] },
"company": { "type": "string" }
},
"if": { "properties": { "type": { "const": "business" } } },
"then": { "required": ["company"] },
"else": {}
}
| Scenario | Use |
| ---------------------------------- | ------------------ |
| Value can be multiple types | anyOf |
| Exactly one variant must match | oneOf |
| Compose inherited schemas | allOf |
| "if condition then require fields" | if/then/else |
| Exclude a specific shape | not |
Prefer if/then/else over oneOf when the condition is a single discriminator field — it produces clearer error messages.
$ref and $defs{
"$defs": {
"address": {
"type": "object",
"properties": {
"street": { "type": "string" },
"city": { "type": "string" }
},
"required": ["street", "city"]
}
},
"type": "object",
"properties": {
"home": { "$ref": "#/$defs/address" },
"work": { "$ref": "#/$defs/address" }
}
}
Compile an array of schemas and reference by ID:
import ZSchema from 'z-schema';
const schemas = [
{
$id: 'address',
type: 'object',
properties: { city: { type: 'string' } },
required: ['city'],
},
{
$id: 'person',
type: 'object',
properties: {
name: { type: 'string' },
home: { $ref: 'address' },
},
required: ['name'],
},
];
const validator = ZSchema.create();
validator.validateSchema(schemas);
validator.validate({ name: 'Alice', home: { city: 'Paris' } }, 'person');
unevaluatedProperties (draft-2019-09+)When combining schemas with allOf, additionalProperties: false in a sub-schema blocks properties defined in sibling schemas. Use unevaluatedProperties instead — it tracks all properties evaluated across applicators:
{
"allOf": [
{
"type": "object",
"properties": { "name": { "type": "string" } },
"required": ["name"]
},
{
"type": "object",
"properties": { "age": { "type": "integer" } }
}
],
"unevaluatedProperties": false
}
This accepts { "name": "Alice", "age": 30 } but rejects { "name": "Alice", "age": 30, "extra": true }.
Always validate schemas at startup:
const validator = ZSchema.create();
try {
validator.validateSchema(schema);
} catch (err) {
console.log('Schema errors:', err.details);
}
additionalProperties: By default, extra properties are allowed. Set additionalProperties: false or use unevaluatedProperties: false to reject them.additionalProperties: false with allOf: This blocks properties from sibling schemas. Use unevaluatedProperties: false at the top level instead (draft-2019-09+).items in draft-2020-12: Use prefixItems for tuple validation. items now means "schema for remaining items".$schema: Without it, z-schema uses its configured default draft. Include $schema for explicit draft targeting.definitions vs $defs: Both work, but $defs is the canonical form in draft-2019-09+. Use it consistently.development
Inspects, filters, and maps z-schema validation errors for application use. Use when the user needs to handle validation errors, walk nested inner errors from anyOf/oneOf/not combinators, map error codes to user-friendly messages, filter errors with includeErrors or excludeErrors, build form-field error mappers, use reportPathAsArray, interpret SchemaErrorDetail fields like code/path/keyword/inner, or debug why validation failed.
development
Guides contributors through the z-schema codebase, PR workflow, and common development tasks. Use when the user wants to contribute to z-schema, add a new feature or keyword, add an error code, add a format validator, modify options, write tests, run the test suite, fix a failing test, understand the validation pipeline, navigate the source code architecture, or submit a pull request. Also use when someone mentions contributing, PRs, the z-schema source code, or the JSON Schema Test Suite integration.
development
Validates JSON data against JSON Schema using the z-schema library. Use when the user needs to validate JSON, check data against a schema, handle validation errors, use custom format validators, work with JSON Schema drafts 04 through 2020-12, set up z-schema in a project, compile schemas with cross-references, resolve remote $ref, configure validation options, or inspect error details. Covers sync/async modes, safe error handling, schema pre-compilation, remote references, TypeScript types, and browser/UMD usage.
development
Create, improve, and test skills for the z-schema JSON Schema validator library. Use this skill whenever the user wants to create a new skill from scratch, turn a workflow into a reusable skill, update or refine an existing skill, write test cases for a skill, or organize reference material for a skill. Also use when someone mentions "skill", "SKILL.md", or wants to document a z-schema workflow for reuse by humans or AI agents.