skills/handling-validation-errors/SKILL.md
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.
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z-schema reports validation errors as ValidateError objects containing a .details array of SchemaErrorDetail. This skill covers inspecting, filtering, mapping, and presenting these errors.
import { ValidateError } from 'z-schema';
import type { SchemaErrorDetail } from 'z-schema';
ValidateError extends Error:
| Property | Type | Description |
| ---------- | --------------------- | ------------------------ |
| .name | string | Always 'ValidateError' |
| .message | string | Summary message |
| .details | SchemaErrorDetail[] | All individual errors |
Each SchemaErrorDetail:
| Field | Type | Description |
| ------------- | ----------------------------------- | ------------------------------------------------------------------------ |
| message | string | Human-readable text, e.g. "Expected type string but found type number" |
| code | string | Machine-readable code, e.g. "INVALID_TYPE" |
| params | (string \| number \| Array)[] | Values filling the message template placeholders |
| path | string \| Array<string \| number> | JSON Pointer to the failing value ("#/age" or ["age"]) |
| keyword | string? | Schema keyword that caused the error ("type", "required", etc.) |
| inner | SchemaErrorDetail[]? | Sub-errors from combinators (anyOf, oneOf, not) |
| schemaPath | Array<string \| number>? | Path within the schema to the constraint |
| schemaId | string? | Schema ID if present |
| title | string? | Schema title if present |
| description | string? | Schema description if present |
import ZSchema from 'z-schema';
const validator = ZSchema.create();
try {
validator.validate(data, schema);
} catch (err) {
if (err instanceof ValidateError) {
for (const detail of err.details) {
console.log(`[${detail.code}] ${detail.path}: ${detail.message}`);
}
}
}
const validator = ZSchema.create();
const { valid, err } = validator.validateSafe(data, schema);
if (!valid && err) {
for (const detail of err.details) {
console.log(`[${detail.code}] ${detail.path}: ${detail.message}`);
}
}
Combinators (anyOf, oneOf, not) produce nested inner errors. A recursive walker handles any depth:
function walkErrors(details: SchemaErrorDetail[], depth = 0): void {
for (const detail of details) {
const indent = ' '.repeat(depth);
console.log(`${indent}[${detail.code}] ${detail.path}: ${detail.message}`);
if (detail.inner) {
walkErrors(detail.inner, depth + 1);
}
}
}
const { valid, err } = validator.validateSafe(data, schema);
if (!valid && err) {
walkErrors(err.details);
}
Flatten the tree to get every concrete error, skipping combinator wrappers:
function collectLeafErrors(details: SchemaErrorDetail[]): SchemaErrorDetail[] {
const leaves: SchemaErrorDetail[] = [];
for (const detail of details) {
if (detail.inner && detail.inner.length > 0) {
leaves.push(...collectLeafErrors(detail.inner));
} else {
leaves.push(detail);
}
}
return leaves;
}
Convert JSON Pointer paths to field names for UI form validation:
function pathToFieldName(path: string | Array<string | number>): string {
if (Array.isArray(path)) {
return path.join('.');
}
// JSON Pointer string: "#/address/city" → "address.city"
return path.replace(/^#\/?/, '').replace(/\//g, '.');
}
function errorsToFieldMap(details: SchemaErrorDetail[]): Record<string, string[]> {
const map: Record<string, string[]> = {};
const leaves = collectLeafErrors(details);
for (const detail of leaves) {
const field = pathToFieldName(detail.path) || '_root';
(map[field] ??= []).push(detail.message);
}
return map;
}
// Usage
const { valid, err } = validator.validateSafe(formData, schema);
if (!valid && err) {
const fieldErrors = errorsToFieldMap(err.details);
// { "email": ["Expected type string but found type number"],
// "age": ["Value 150 is greater than maximum 120"] }
}
Enable reportPathAsArray for easier programmatic access:
const validator = ZSchema.create({ reportPathAsArray: true });
const { valid, err } = validator.validateSafe(data, schema);
// err.details[0].path → ["address", "city"] instead of "#/address/city"
Pass includeErrors or excludeErrors as the third argument:
// Only report type mismatches
validator.validate(data, schema, { includeErrors: ['INVALID_TYPE'] });
// Suppress string-length errors
validator.validate(data, schema, { excludeErrors: ['MIN_LENGTH', 'MAX_LENGTH'] });
const { valid, err } = validator.validateSafe(data, schema);
if (!valid && err) {
const typeErrors = err.details.filter((d) => d.code === 'INVALID_TYPE');
const requiredErrors = err.details.filter((d) => d.code === 'OBJECT_MISSING_REQUIRED_PROPERTY');
}
Map error codes to user-friendly messages:
const friendlyMessages: Record<string, (detail: SchemaErrorDetail) => string> = {
INVALID_TYPE: (d) => `${pathToFieldName(d.path)} must be a ${d.params[0]}`,
OBJECT_MISSING_REQUIRED_PROPERTY: (d) => `${d.params[0]} is required`,
MINIMUM: (d) => `${pathToFieldName(d.path)} must be at least ${d.params[1]}`,
MAXIMUM: (d) => `${pathToFieldName(d.path)} must be at most ${d.params[1]}`,
MIN_LENGTH: (d) => `${pathToFieldName(d.path)} must be at least ${d.params[1]} characters`,
MAX_LENGTH: (d) => `${pathToFieldName(d.path)} must be at most ${d.params[1]} characters`,
PATTERN: (d) => `${pathToFieldName(d.path)} has an invalid format`,
ENUM_MISMATCH: (d) => `${pathToFieldName(d.path)} must be one of the allowed values`,
INVALID_FORMAT: (d) => `${pathToFieldName(d.path)} is not a valid ${d.params[0]}`,
ARRAY_UNEVALUATED_ITEMS: () => `Array contains items not covered by any schema`,
OBJECT_UNEVALUATED_PROPERTIES: (d) => `${d.params[0]} is not allowed by the schema`,
COLLECT_EVALUATED_DEPTH_EXCEEDED: (d) => `Schema nesting too deep (max ${d.params[0]})`,
MAX_RECURSION_DEPTH_EXCEEDED: (d) => `Recursion depth exceeded (max ${d.params[0]})`,
};
function toFriendlyMessage(detail: SchemaErrorDetail): string {
const fn = friendlyMessages[detail.code];
return fn ? fn(detail) : detail.message;
}
For fail-fast scenarios:
const validator = ZSchema.create({ breakOnFirstError: true });
This reports only the first error encountered, reducing noise during iterative fixing.
The keyword field tells you which schema keyword triggered the error — useful for categorizing errors programmatically:
const { valid, err } = validator.validateSafe(data, schema);
if (!valid && err) {
for (const detail of err.details) {
switch (detail.keyword) {
case 'required':
// handle missing field
break;
case 'type':
// handle type mismatch
break;
case 'format':
// handle format failure
break;
}
}
}
For the full error code list with descriptions, see the validating-json-data skill's error-codes reference.
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
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.
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.