Valibot
Schema validation with Valibot, the modular and type-safe schema library. Use when the user needs to validate data, create schemas, parse inputs, or work with Valibot in their project. Also use when migrating from Zod to Valibot.
- Skill ID
- open-circle/agent-skills/valibot
- Publisher
- open-circle
- Repository
- agent-skills
- Installs
- 0
- Files
- 2
- License
- MIT
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
open-circle/agent-skills/valibotInstalls these files- .claude-plugin/plugin.json
- SKILL.md
What this skill tells the agent
Valibot
This skill helps you work effectively with Valibot, the modular and type-safe schema library for validating structural data.
When to use this skill
- When the user asks about schema validation with Valibot
- When creating or modifying Valibot schemas
- When parsing or validating user input
- When the user mentions Valibot, schema, or validation
- When migrating from Zod to Valibot
CRITICAL: Valibot vs Zod — Do Not Confuse!
Valibot and Zod have different APIs. Never mix them up!
Key Differences
| Feature | Zod ❌ | Valibot ✅ |
|---|---|---|
| Import | import { z } from 'zod' | import * as v from 'valibot' |
| Validations | Chained methods: .email().min(5) | Pipeline: v.pipe(v.string(), v.email(), v.minLength(5)) |
| Parsing | schema.parse(data) | v.parse(schema, data) |
| Safe parsing | schema.safeParse(data) | v.safeParse(schema, data) |
| Optional | z.string().optional() | v.optional(v.string()) |
| Nullable | z.string().nullable() | v.nullable(v.string()) |
| Default | z.string().default('x') | v.optional(v.string(), 'x') |
| Transform | z.string().transform(fn) | v.pipe(v.string(), v.transform(fn)) |
| Refine/Check | z.string().refine(fn) | v.pipe(v.string(), v.check(fn)) |
| Enum | z.enum(['a', 'b']) | v.picklist(['a', 'b']) |
| Native enum | z.nativeEnum(MyEnum) | v.enum(MyEnum) |
| Union | z.union([a, b]) | v.union([a, b]) |
| Discriminated union | z.discriminatedUnion('type', [...]) | v.variant('type', [...]) |
| Intersection | z.intersection(a, b) | v.intersect([a, b]) |
| Min/max length | .min(5).max(10) | v.minLength(5), v.maxLength(10) |
| Min/max value | .gte(5).lte(10) | v.minValue(5), v.maxValue(10) |
| Infer type | z.infer<typeof Schema> | v.InferOutput<typeof Schema> |
| Infer input | z.input<typeof Schema> | v.InferInput<typeof Schema> |
Common Mistakes to Avoid
// ❌ WRONG - This is Zod syntax, NOT Valibot!
const Schema = v.string().email().min(5);
const result = Schema.parse(data);
// ✅ CORRECT - Valibot uses functions and pipelines
const Schema = v.pipe(v.string(), v.email(), v.minLength(5));
const result = v.parse(Schema, data);// ❌ WRONG - Zod-style optional
const Schema = v.object({
name: v.string().optional(),
});
// ✅ CORRECT - Valibot wraps with optional()
const Schema = v.object({
name: v.optional(v.string()),
});// ❌ WRONG - Zod-style default
const Schema = v.string().default("hello");
// ✅ CORRECT - Valibot uses second argument
const Schema = v.optional(v.string(), "hello");Installation
npm install valibot # npm
yarn add valibot # yarn
pnpm add valibot # pnpm
bun add valibot # bunImport with a wildcard (recommended):
import * as v from "valibot";Or with individual imports:
import { object, string, pipe, email, parse } from "valibot";Mental Model
Valibot's API is divided into three main concepts:
1. Schemas
Schemas define the expected data type. They are the starting point.
import * as v from "valibot";
// Primitive schemas
const StringSchema = v.string();
const NumberSchema = v.number();
const BooleanSchema = v.boolean();
const DateSchema = v.date();
// Complex schemas
const ArraySchema = v.array(v.string());
const ObjectSchema = v.object({
name: v.string(),
age: v.number(),
});2. Methods
Methods help you use or modify schemas. The schema is always the first argument.
// Parsing
const result = v.parse(StringSchema, "hello");
const safeResult = v.safeParse(StringSchema, "hello");
// Type guard
if (v.is(StringSchema, data)) {
// data is typed as string
}3. Actions
Actions validate or transform data within a pipe(). They MUST be used inside pipelines.
// Actions are used in pipe()
const EmailSchema = v.pipe(
v.string(),
v.trim(),
v.email(),
v.endsWith("@example.com"),
);Pipelines
Pipelines extend schemas with validation and transformation actions. A pipeline always starts with a schema, followed by actions.
import * as v from "valibot";
const UsernameSchema = v.pipe(
v.string(),
v.trim(),
v.minLength(3, "Username must be at least 3 characters"),
v.maxLength(20, "Username must be at most 20 characters"),
v.regex(
/^[a-z0-9_]+$/i,
"Username can only contain letters, numbers, and underscores",
),
);
const AgeSchema = v.pipe(
v.number(),
v.integer("Age must be a whole number"),
v.minValue(0, "Age cannot be negative"),
v.maxValue(150, "Age cannot exceed 150"),
);Common Validation Actions
String validations:
v.email()— Valid email formatv.url()— Valid URL formatv.uuid()— Valid UUID formatv.regex(pattern)— Match regex patternv.minLength(n)— Minimum lengthv.maxLength(n)— Maximum lengthv.length(n)— Exact lengthv.nonEmpty()— Not empty stringv.startsWith(str)— Starts with stringv.endsWith(str)— Ends with stringv.includes(str)— Contains string
Number validations:
v.minValue(n)— Minimum value (>=)v.maxValue(n)— Maximum value (<=)v.gtValue(n)— Greater than (>)v.ltValue(n)— Less than (<)v.integer()— Must be integerv.finite()— Must be finitev.safeInteger()— Safe integer rangev.multipleOf(n)— Must be multiple of n
Array validations:
v.minLength(n)— Minimum itemsv.maxLength(n)— Maximum itemsv.length(n)— Exact item countv.nonEmpty()— At least one itemv.includes(item)— Contains itemv.excludes(item)— Does not contain item
Custom Validation with check()
const PasswordSchema = v.pipe(
v.string(),
v.minLength(8),
v.check(
(input) => /[A-Z]/.test(input),
"Password must contain an uppercase letter",
),
v.check((input) => /[0-9]/.test(input), "Password must contain a number"),
);Value Transformations
These actions modify the value without changing its type:
String transformations:
v.trim()— Remove leading/trailing whitespacev.trimStart()— Remove leading whitespacev.trimEnd()— Remove trailing whitespacev.toLowerCase()— Convert to lowercasev.toUpperCase()— Convert to uppercase
Number transformations:
v.toMinValue(n)— Clamp to minimum value (if less than n, set to n)v.toMaxValue(n)— Clamp to maximum value (if greater than n, set to n)
const NormalizedEmailSchema = v.pipe(
v.string(),
v.trim(),
v.toLowerCase(),
v.email(),
);
// Clamp number to range 0-100
const PercentageSchema = v.pipe(v.number(), v.toMinValue(0), v.toMaxValue(100));Type Transformations
More from open-circle
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