Best use case
zod is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Zod schema validation and type inference.
Teams using zod should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/zod/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How zod Compares
| Feature / Agent | zod | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Zod schema validation and type inference.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Zod Skill
Expert assistance for Zod schema validation.
## Capabilities
- Create Zod schemas
- Infer TypeScript types
- Handle transformations
- Validate forms
- Parse API responses
## Schema Patterns
```typescript
import { z } from 'zod';
const UserSchema = z.object({
id: z.string().uuid(),
name: z.string().min(1),
email: z.string().email(),
age: z.number().int().positive().optional(),
role: z.enum(['user', 'admin']).default('user'),
createdAt: z.coerce.date(),
});
type User = z.infer<typeof UserSchema>;
// Parsing
const user = UserSchema.parse(data);
// Safe parsing
const result = UserSchema.safeParse(data);
if (result.success) {
console.log(result.data);
} else {
console.log(result.error);
}
```
## Target Processes
- form-validation
- api-validation
- type-inferenceRelated Skills
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