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skills/api/json-structured-outputs/json-outputs-implementer/SKILL.md

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+---
+name: json-outputs-implementer
+description: >-
+  Use PROACTIVELY when extracting structured data from text/images, classifying content, or formatting API responses with guaranteed schema compliance.
+  Implements Anthropic's JSON outputs mode with Pydantic/Zod SDK integration.
+  Covers schema design, validation, testing, and production optimization.
+  Not for tool parameter validation or agentic workflows (use strict-tool-implementer instead).
+---
+
+# 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 Anthropic
+
+class MySchema(BaseModel):
+    field: str
+
+response = client.beta.messages.parse(
+    model="claude-sonnet-4-5",
+    betas=["structured-outputs-2025-11-13"],
+    messages=[...],
+    output_format=MySchema,
+)
+result = response.parsed_output  # Validated!
+```
+
+### Supported Schema Features
+
+✅ Basic types, enums, format strings, nested objects/arrays, required fields
+
+❌ Recursive schemas, min/max constraints, string length, complex regex
+
+## Reference Materials
+
+- [Common Use Cases](reference/use-cases.md)
+- [Schema Limitations](reference/schema-limitations.md)
+
+## Related Skills
+
+- `structured-outputs-advisor` - Choose the right mode
+- `strict-tool-implementer` - For tool validation use cases