structured-outputs-advisor

This skill acts as an intelligent decision-making engine for developers integrating Anthropic's structured outputs feature. It effectively bridges the gap between raw unstructured text and robust, type-safe data handling. By analyzing specific project requirements, it helps engineering teams decide whether to utilize JSON Output mode for data extraction and formatting or to employ Strict Tool Use for multi-step agentic workflows that require validated function parameters. The advisor streamlines the development lifecycle by minimizing implementation errors and ensuring developers align with the correct technical constraints and beta feature requirements.

• Evaluates use cases for JSON output formats versus strict function calling paradigms.

• Provides authoritative guidance on schema design and type-safe response handling using Pydantic or Zod.

• Facilitates seamless delegation to specialized implementation skills for final code generation and testing.

• Supports critical agentic workflows by ensuring parameter validation across complex tool chains.

• Navigates technical constraints, such as the incompatibility of message prefilling and citations with specific structured modes.

• Best suited for developers building data extraction pipelines, classification engines, or complex autonomous agents.

• Requires knowledge of Claude 3.5 Sonnet or 4.1 Opus models and the associated beta header requirement (structured-outputs-2025-11-13).

• Expected inputs include natural language queries about data extraction, API integration, or tool validation needs.

• Operates in a consultative manner, asking targeted questions to identify if the goal is single-step parsing or multi-step logic.

• Keeps the mode selection process fast, typically resolving in under five turns before transitioning to specialized implementation plugins.