What problem does it solve?
This Skill eliminates inconsistent, unreliable, or costly AI outputs by providing a structured approach to defining response formats and style configurations. It ensures your AI agents deliver predictable, high-quality data every time.
Core Features & Use Cases
- Structured Data Serialization: Define agent output schemas in JSON, YAML, Markdown-KV, or XML.
- Response Style Configuration: Configure response style scope hierarchy (global → project → skill → command) for consistent tone and formatting.
- Output Validation: Leverage selection metrics, embedding patterns, and validation scoring to guarantee output reliability.
- Use Case: When building an API integration, use this Skill to define a strict JSON schema for your agent's responses, ensuring all data is machine-parseable and compliant with your API specification.
Quick Start
Use the output-style-builder skill to define a JSON output schema for an agent, ensuring all API responses are consistently formatted.