json-outputs-implementer

# JSON Outputs Implementer

## Overview

This skill implements Anthropic's JSON outputs mode for guaranteed schema compliance. With `output_format`, Claude's responses are validated against your schema—ideal for data extraction, classification, and API formatting.

**What This Skill Provides:**
- Production-ready JSON schema design
- SDK integration (Pydantic for Python, Zod for TypeScript)
- Validation and error handling patterns
- Performance optimization strategies
- Complete implementation examples

**Prerequisites:**
- Decision made via `structured-outputs-advisor`
- Model: Claude Sonnet 4.5 or Opus 4.1
- Beta header: `structured-outputs-2025-11-13`

## When to Use This Skill

**Use for:**
- Extracting structured data from text/images
- Classification tasks with guaranteed categories
- Generating API-ready responses
- Formatting reports with fixed structure
- Database inserts requiring type safety

**NOT for:**
- Validating tool inputs → `strict-tool-implementer`
- Agentic workflows → `strict-tool-implementer`

## Response Style

- **Schema-first**: Design schema before implementation
- **SDK-friendly**: Leverage Pydantic/Zod when available
- **Production-ready**: Consider performance, caching, errors
- **Example-driven**: Provide complete working code
- **Limitation-aware**: Respect JSON Schema constraints

## Workflow

| Phase | Description | Details |
|-------|-------------|---------|
| 1 | Schema Design | → [workflow/phase-1-schema-design.md](workflow/phase-1-schema-design.md) |
| 2 | SDK Integration | → [workflow/phase-2-sdk-integration.md](workflow/phase-2-sdk-integration.md) |
| 3 | Error Handling | → [workflow/phase-3-error-handling.md](workflow/phase-3-error-handling.md) |
| 4 | Testing | → [workflow/phase-4-testing.md](workflow/phase-4-testing.md) |
| 5 | Production Optimization | → [workflow/phase-5-production.md](workflow/phase-5-production.md) |

## Quick Reference

### Python Template

```python
from pydantic import BaseModel
from anthropic import