json schema AI Agent Skills

Browse 65 skills related to json schema

outlines

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

Prompt EngineeringOutlinesStructured Generation+7

agent-tool-builder

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

A2UI_response_generator

A skill that can retrieve A2UI UI JSON schematics and UI templates that best show the response. This skill is essential and must be used before generating A2UI (Agent to UI) JSON responses.

claude-agent-sdk

Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.

tabstack-extractor

Extract structured data from websites using Tabstack API. Use when you need to scrape job listings, news articles, product pages, or any structured web content. Provides JSON schema-based extraction and clean markdown conversion. Requires TABSTACK_API_KEY environment variable.

validating-api-schemas

Jeremylongshore Claude Code Plugins Plus Skills Validating Api Schemas

Validate API schemas against OpenAPI, JSON Schema, and GraphQL specifications. Use when validating API schemas and contracts. Trigger with phrases like "validate API schema", "check OpenAPI spec", or "verify schema".

claude-api

Build with Claude Messages API using structured outputs for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, and model deprecations. Prevents 16 documented errors. Use when: building chatbots/agents, troubleshooting rate_limit_error, prompt caching issues, streaming SSE parsing errors, MCP timeout issues, or structured output hallucinations.

mcp-tool-schema-generator

Generate JSON Schema definitions for MCP tool input parameters. Creates well-documented, AI-consumable schemas with proper types, descriptions, and validation rules.

config-schema-validator

Generate Zod/JSON Schema configuration validators with defaults and error messages.

json-schema

JSON Schema validation and API contract design.

openai-api

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

delon-form-dynamic-schema-forms

Create dynamic schema-based forms using @delon/form (SF component). Use this skill when building complex forms with validation, conditional rendering, async data loading, custom widgets, and multi-step workflows. Ensures forms follow JSON Schema standards, integrate with Angular reactive forms, support internationalization, and maintain consistent validation patterns across the application.

validate-plan-file

Validate that orchestrator plan files conform to expected JSON schema. Use before workers read plan files or after orchestrators create them to ensure proper structure and required fields.

documentation

Guide for generating and maintaining contract documentation from JSON schemas. Use when creating schemas, generating docs, or documenting contract APIs.

TypeBox + Fastify

Blockmatic Basilic Fastify V5

TypeBox schemas with Fastify routes for type-safe API development. Native JSON Schema, automatic OpenAPI generation. Use when: building Fastify REST APIs with schema validation and OpenAPI generation.

prd-schema

prd.json schema reference for Ralph TUI — validates structure, prevents unsupported fields

building-with-schematics

PRIMARY BUILDING METHOD - Use for ALL construction tasks. Build structures using declarative JSON schematics with 2D layer grids. Describe WHAT to build, the server handles HOW. Supports COMPACT FORMAT (70% fewer tokens) with run-length encoding. Use this instead of WorldEdit commands for reliable, predictable builds.

placing-furniture

Places furniture and decorates Minecraft interiors using JSON schematics. Use when furnishing rooms, placing tables, chairs, beds, lamps, decorations, or designing interior spaces. Reference furniture_catalog.md for 80+ ready-to-use designs.

json-validator

根据JSON Schema验证JSON文件，提供详细错误报告和自动修复建议。

API Contract Validator

Validate API responses against OpenAPI/Swagger specifications, JSON Schema definitions, and consumer-driven contracts to prevent breaking changes

api-contractopenapiswagger+5

REST Assured API Testing

API testing skill using REST Assured for Java, covering request specifications, response validation, authentication, JSON schema validation, and serialization.

rest-assuredapi-testingjava+3

zod

TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issues, validation error handling problems. Zero dependencies (2kb gzipped).

video-designer

Expert video designer that generates comprehensive design specifications based on video direction. Creates precise JSON schemas for scenes including elements, animations, timing, and styling following strict design guidelines.

amis-builder

An expert and knowledge base for the amis low-code framework. **Strict trigger conditions**: The user must explicitly mention keywords such as 'amis', 'low-code', 'Baidu amis', etc. **Core capabilities**: (1) Answer amis usage questions (component usage, property configuration, expressions, events, etc.), (2) Generate amis JSON schema (CRUD, forms, cards, dialogs, etc.), (3) Generate amis static HTML preview pages (only when the user explicitly requests amis + preview/static HTML), (4) Debug and optimize amis configurations. **Strictly prohibited triggers**: (1) The user does not mention amis or low-code, (2) The user explicitly requests other frameworks (React, Vue, Angular, Vite, or other engineering projects), (3) The user only says 'generate form' without mentioning amis. **Keywords**: amis, low-code, Baidu amis, aisuda, amis schema, amis components, amis preview.

data-validation

Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators.

claude-headless-mode

Majesticlabs Dev Majestic Marketplace Claude Headless Mode

Guide for using the Claude CLI in headless mode with --print, output formats, and JSON schema.

claude-api

Build with Claude Messages API using structured outputs (v0.69.0+, Nov 2025) for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, model deprecations (3.5/3.7 retired Oct 2025). Use when: building chatbots/agents with validated JSON responses, or troubleshooting rate_limit_error, structured output validation, prompt caching not activating, streaming SSE parsing.

claude-agent-sdk

Build autonomous AI agents with Claude Agent SDK. Structured outputs (v0.1.45, Nov 2025) guarantee JSON schema validation, plugins system, hooks for event-driven workflows. Use when: building coding agents with validated JSON responses, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors.

openai-api

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

claude-plugins-reference-2026

Jamie-BitFlight

Complete reference for Claude Code plugins system (January 2026). Use when creating plugins, understanding plugin.json schema, marketplace configuration, bundling skills/commands/agents/hooks/MCP/LSP servers, plugin caching, validation, or distribution. Covers plugin components, directory structure, installation scopes, environment variables, CLI commands, debugging, and enterprise features.

json-schema-validator

Validate JSON data against JSON Schema specifications. Use for API validation, config file validation, or data quality checks.

comind-cognition

Publish public cognitive records to ATProtocol. Covers five record types—concepts, memories, thoughts, claims, hypotheses—with JSON schemas and a standalone CLI script. Use this when storing agent knowledge, recording events, writing reasoning traces, publishing structured assertions, or tracking hypotheses. Any agent on ATProtocol can use it.

schema-creator

Creates JSON Schema validation files for skills, agents, hooks, workflows, and data structures. Ensures type safety and input validation across the framework.

session-migration

Migrate session logs from markdown to JSON format. Use when PRs contain markdown session logs that need conversion to the new JSON schema, or when batch-migrating historical sessions.

datadog-entity-generator

Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project source code and interviewing engineers. Use when engineers need to create or update entity.datadog.yaml files for services, datastores, queues, APIs, or systems. Triggers include: 'create entity yaml', 'generate service catalog entry', 'document this project in datadog', 'create service definition', 'add to software catalog', or any request involving Datadog entity/service documentation. Supports all v3 entity kinds: service, datastore, queue, api, system. Fetches existing Datadog data via API. Validates against official JSON schema. Merges with existing definitions. Outputs to .datadog/ directory.

tool-function-schema-designer

patricio0312rev

Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".

structured-output-extractor

patricio0312rev

Extracts structured data from LLM responses using JSON schemas, Zod validation, and function calling for reliable parsing. Use when users request "structured output", "JSON extraction", "parse LLM response", "function calling", or "typed responses".

cohere-v2-python

ActiveInferenceInstitute

Master Cohere v2 Chat API with Python, specializing in entity extraction using JSON Schema mode for structured outputs. Use when extracting entities from text, building data-extraction pipelines, implementing NER systems, or requiring validated JSON responses from LLMs.

OpenAI API

Complete guide for OpenAI's traditional/stateless APIs: Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes both Node.js SDK and fetch-based approaches for maximum compatibility. Use when: integrating OpenAI APIs, implementing chat completions with GPT-5/GPT-4o, generating text with streaming, using function calling/tools, creating structured outputs with JSON schemas, implementing embeddings for RAG, generating images with DALL-E 3, transcribing audio with Whisper, synthesizing speech with TTS, moderating content, deploying to Cloudflare Workers, or encountering errors like rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded. Keywords: openai api, chat completions, gpt-5, gpt-5-mini, gpt-5-nano, gpt-4o, gpt-4-turbo, openai sdk, openai streaming, function calling, structured output, json schema, openai embeddings, text-embedding-3, dall-e-3, image generation, whisper api, openai tts, text-to-speech, moderation api, openai fetch, cloudflare workers openai, openai rate limit, openai 429, reasoning_effort, verbosity

fastify

Fastify is a high-performance Node.js web framework focused on developer experience and low overhead. It features JSON Schema validation, a powerful plugin system, lifecycle hooks, and automatic serialization for blazing-fast APIs.

mongodb-schema-design

MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema".

validating-api-schemas

Validate API schemas against OpenAPI, JSON Schema, and GraphQL specifications. Use when validating API schemas and contracts. Trigger with phrases like "validate API schema", "check OpenAPI spec", or "verify schema".

zod-docs

Local Zod documentation reference. Use when asked about Zod schema validation, TypeScript type inference, parsing, error handling, JSON Schema conversion, or schema composition.

skill-fixture-runner

Automated validation skill for skill-creator output fixtures. Deterministically validates directory structure, SKILL.md format, agent specifications, and JSON schemas using five scripts. Anchors: • skill-creator / Applicability: output specification and quality criteria / Purpose: source of validation rules • Contract First / Applicability: JSON output schemas / Purpose: predictable validation results Trigger: fixture validation, skill validation, skill tests, fixture verification, skill-creator validation

agent-tool-builder

agent-skills-hub

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

datadog-entity-generator

Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project source code and interviewing engineers. Use when engineers need to create or update entity.datadog.yaml files for services, datastores, queues, APIs, or systems. Triggers include: "create entity yaml", "generate service catalog entry", "document this project in datadog", "create service definition", "add to software catalog", or any request involving Datadog entity/service documentation. Supports all v3 entity kinds: service, datastore, queue, api, system. Fetches existing Datadog data via API. Validates against official JSON schema. Merges with existing definitions. Outputs to .datadog/ directory.

implementing-api-schema-validation-security

Implement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.

api-securityschema-validationopenapi+5

design-serialization-schema

Design serialization schemas using JSON Schema, Protocol Buffer definitions, or Apache Avro. Covers schema versioning, backwards compatibility, validation rules, and evolution strategies for long-lived data formats. Use when defining a new API contract or data interchange format, adding fields to an existing schema without breaking consumers, migrating between schema versions, choosing between schema systems, or documenting data validation rules for automated enforcement.

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