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Found 29 Skills
Zod v4 schema validation for TypeScript. Covers primitives, string formats, objects, arrays, unions, coercion, transforms, refinements, parsing, type inference, error customization, JSON Schema, file validation, and metadata. Use when writing schemas, validating input, parsing data, inferring types, or converting schemas with Zod.
JSON flat view, schema inference, and edit tool. Use when the user provides a JSON file or data and wants to explore its structure, infer its schema, or modify fields. Triggers on: view json, edit json, json schema, json structure, set json field, jstool, analyze json, flat view, orderbook, json flat.
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.
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.
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa
Recommend a POI in a city (schema + deterministic result).
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
Instructions and guidelines for using the Schemantic library for type-safe data classes and schemas in Dart.
Plan a route and return distance + ETA (schema + deterministic result).
Registers and manages custom format validators in z-schema. Use when the user needs to add custom format validation, create sync or async format validators, register formats globally or per instance, validate emails or dates or phone numbers or custom business rules with format, configure formatAssertions for vocabulary-aware behavior, use customFormats option, list registered formats, handle async format timeouts, or understand how format validation differs across JSON Schema drafts.
Guidelines for querying schemastore.org. Use when you need to validate or discover options for config files relating to popular open source projects.
Create Data Contracts (CTR) - Optional Layer 8 artifact using dual-file format (.md + .yaml) for API/data contracts