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2025-11-29 18:16:46 +08:00

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JSON Outputs Implementer

Specialized skill for implementing JSON outputs mode with guaranteed schema compliance.

Purpose

This skill handles end-to-end implementation of JSON outputs mode (output_format), ensuring Claude's responses strictly match your JSON schema. Covers schema design, SDK integration, testing, and production deployment.

Use Cases

  • Data Extraction: Pull structured info from text/images
  • Classification: Categorize content with guaranteed output format
  • API Formatting: Generate API-ready JSON responses
  • Report Generation: Create structured reports
  • Database Operations: Ensure type-safe inserts/updates

Prerequisites

  • Routed here by structured-outputs-advisor
  • Model: Claude Sonnet 4.5 or Opus 4.1
  • Beta header: structured-outputs-2025-11-13

Quick Start

Python with Pydantic:

from pydantic import BaseModel
from anthropic import Anthropic

class Contact(BaseModel):
    name: str
    email: str

client = Anthropic()
response = client.beta.messages.parse(
    model="claude-sonnet-4-5",
    betas=["structured-outputs-2025-11-13"],
    messages=[{"role": "user", "content": "Extract contact..."}],
    output_format=Contact,
)

contact = response.parsed_output  # Guaranteed valid

TypeScript with Zod:

import { z } from 'zod';

const ContactSchema = z.object({
  name: z.string(),
  email: z.string().email(),
});

const response = await client.beta.messages.parse({
  model: "claude-sonnet-4-5",
  betas: ["structured-outputs-2025-11-13"],
  output_format: betaZodOutputFormat(ContactSchema),
  messages: [...]
});

What You'll Learn

  1. Schema Design - Respecting JSON Schema limitations
  2. SDK Integration - Pydantic/Zod helpers
  3. Error Handling - Refusals, token limits, validation
  4. Production Optimization - Caching, monitoring, cost tracking
  5. Testing - Comprehensive validation strategies

Examples

Reference Materials

Version

Current version: 0.1.0

See CHANGELOG.md for version history.