nette-schema
Provides Nette Schema for data validation and normalization. Use when validating configuration, API inputs, or any data structures with Expect class. Covers Expect::structure(), Expect::from(), anyOf, arrayOf, listOf, assert, transform, castTo, otherItems, and Processor. This is about nette/schema – not Nette Forms validation (addRule), not Nette\Utils\Validators, and not JSON Schema.
What this skill does
## Nette Schema
A library for validating and normalizing data structures against a defined schema. Declare what correct data looks like, and Schema verifies and transforms input in one step.
```shell
composer require nette/schema
```
### When to Use Schema
- **Configuration validation** – validate config arrays loaded from .neon files
- **API input validation** – validate request data before processing
- **Data import/transform** – normalize external data into typed structures
- **DI extension config** – validate extension configuration in `loadConfiguration()`
Schema is complementary to Nette Forms (which handles user input with UI) and database constraints (which enforce storage-level rules). Use Schema for programmatic data validation where there's no form UI.
### Basic Usage
```php
use Nette\Schema\Expect;
use Nette\Schema\Processor;
$schema = Expect::structure([
'name' => Expect::string()->required(),
'email' => Expect::email(),
'age' => Expect::int()->min(0)->max(120),
]);
$processor = new Processor;
try {
$normalized = $processor->process($schema, $data);
// $normalized is stdClass with validated data
} catch (Nette\Schema\ValidationException $e) {
echo 'Invalid: ' . $e->getMessage();
// $e->getMessages() returns array of all errors
}
```
### Data Types
```php
Expect::string() // string, default null
Expect::string('default') // string with default value
Expect::int() // integer
Expect::float() // float
Expect::bool() // boolean
Expect::null() // null only
Expect::array() // array, default []
Expect::scalar() // scalar value
Expect::type('ClassName') // instance of class
Expect::type('bool|string') // union types
```
### Arrays
```php
// Array of strings
Expect::arrayOf('string')
Expect::arrayOf(Expect::string())
// Array with string keys
Expect::arrayOf('string', 'string')
// List (indexed array)
Expect::listOf('string')
// Tuple (fixed positions)
Expect::array([
Expect::int(),
Expect::string(),
Expect::bool(),
])
```
### Structures
```php
$schema = Expect::structure([
'database' => Expect::structure([
'host' => Expect::string()->required(),
'port' => Expect::int(3306),
'user' => Expect::string()->required(),
'password' => Expect::string()->nullable(),
]),
'debug' => Expect::bool(false),
]);
```
Properties are optional by default (null). Use `required()` for mandatory fields.
### Enumeration
```php
// One of specific values
Expect::anyOf('small', 'medium', 'large')
// One of values or schemas
Expect::anyOf(
Expect::string(),
Expect::int(),
null
)
// First is default
Expect::anyOf('small', 'medium', 'large')->firstIsDefault()
```
### Constraints
```php
// Required field
Expect::string()->required()
// Nullable (accepts null)
Expect::string()->nullable()
// Default value
Expect::string()->default('hello')
Expect::string('hello') // shorthand
// Length/count limits
Expect::string()->min(3)->max(100)
Expect::array()->min(1)->max(10)
// Numeric range
Expect::int()->min(0)->max(100)
// Pattern
Expect::string()->pattern('\d{5}') // regex for entire value
```
### Assertions
```php
// Custom validation
Expect::string()->assert(fn($s) => strlen($s) % 2 === 0, 'Must be even length')
// Built-in validators
Expect::string()->assert('is_file')
Expect::string()->assert('ctype_alpha')
```
### Transformations
```php
// Transform value after validation
Expect::string()->transform(fn($s) => strtoupper($s))
// Chain transformations
Expect::string()
->assert('ctype_lower', 'Must be lowercase')
->transform(fn($s) => strtoupper($s))
// Transform with validation
Expect::string()->transform(function ($s, $context) {
if (!ctype_alpha($s)) {
$context->addError('Must be letters only');
return null;
}
return strtoupper($s);
})
```
### Casting
```php
// Cast to type
Expect::scalar()->castTo('string')
Expect::scalar()->castTo('int')
Expect::scalar()->castTo('bool')
// Cast to class (without constructor)
Expect::structure([
'name' => Expect::string(),
'age' => Expect::int(),
])->castTo(Person::class)
// Cast to class with constructor
Expect::structure([
'host' => Expect::string(),
'port' => Expect::int(),
])->castTo(DatabaseConfig::class)
// Creates: new DatabaseConfig(host: ..., port: ...)
```
### Normalization (before)
```php
// Normalize before validation
Expect::arrayOf('string')
->before(fn($v) => is_string($v) ? explode(' ', $v) : $v)
// Now accepts both:
// - ['a', 'b', 'c']
// - 'a b c' (converted to array)
```
### Structure Options
```php
// Allow extra items
Expect::structure([
'known' => Expect::string(),
])->otherItems(Expect::mixed())
// Skip default values in output
Expect::structure([
'debug' => Expect::bool(false),
])->skipDefaults()
// Extend structure
$base = Expect::structure(['name' => Expect::string()]);
$extended = $base->extend(['email' => Expect::email()]);
```
### From Class
Generate schema from class properties:
```php
class Config
{
public string $name;
public ?string $email = null;
public bool $debug = false;
}
$schema = Expect::from(new Config);
// Override specific fields
$schema = Expect::from(new Config, [
'email' => Expect::email()->required(),
]);
```
### Deprecation
```php
$schema = Expect::structure([
'oldOption' => Expect::int()->deprecated('Use newOption instead'),
'newOption' => Expect::int(),
]);
$processor->process($schema, $data);
$warnings = $processor->getWarnings();
```
### Practical Examples
**Configuration validation:**
```php
$configSchema = Expect::structure([
'database' => Expect::structure([
'driver' => Expect::anyOf('mysql', 'pgsql', 'sqlite')->required(),
'host' => Expect::string('localhost'),
'port' => Expect::int(),
'name' => Expect::string()->required(),
'user' => Expect::string()->required(),
'password' => Expect::string()->nullable(),
])->castTo('array'),
'cache' => Expect::structure([
'enabled' => Expect::bool(true),
'ttl' => Expect::int(3600)->min(0),
]),
'mail' => Expect::structure([
'from' => Expect::email()->required(),
'smtp' => Expect::structure([
'host' => Expect::string(),
'port' => Expect::int(587),
'secure' => Expect::anyOf('tls', 'ssl', null),
]),
]),
]);
```
**API input validation:**
```php
$createUserSchema = Expect::structure([
'username' => Expect::string()
->required()
->min(3)->max(20)
->pattern('[a-z0-9_]+'),
'email' => Expect::email()->required(),
'password' => Expect::string()->required()->min(8),
'roles' => Expect::listOf(
Expect::anyOf('user', 'admin', 'moderator')
)->default(['user']),
])->castTo('array');
```
### Online Documentation
For detailed information, use WebFetch on these URLs:
- [Schema](https://doc.nette.org/en/schema) – complete Schema library guide with all Expect methods
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.