Loading...
Loading...
Found 25 Skills
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.
Migrates JSON Schemas between draft versions for use with z-schema. Use when the user wants to upgrade schemas from draft-04 to draft-2020-12, convert between draft formats, update deprecated keywords, replace id with $id, convert definitions to $defs, migrate items to prefixItems, replace dependencies with dependentRequired or dependentSchemas, adopt unevaluatedProperties or unevaluatedItems, or adapt schemas to newer JSON Schema features.
Guidelines for querying schemastore.org. Use when you need to validate or discover options for config files relating to popular open source projects.
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.
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.
Creates JSON Schema validation files for skills, agents, hooks, workflows, and data structures. Ensures type safety and input validation across the framework.
Generate professional resumes that conform to the Reactive Resume schema. Use when the user wants to create, build, or generate a resume through conversational AI, or asks about resume structure, sections, or content. This skill guides the agent to ask clarifying questions, avoid hallucination, and produce valid JSON output for https://rxresu.me.
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
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.
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.
更新代码模块索引（catalog/modules/* 和 topics.md 代码模块部分）