Agent Skills for Automated Reasoning Policies in Amazon Bedrock

Amazon Bedrock has introduced a set of open source Agent Skills designed to facilitate the full lifecycle management of Automated Reasoning policies through code. These skills enable developers to create, review, test, debug, deploy, and validate policies in an automated, repeatable manner, moving beyond manual console operations.

Automated Reasoning checks in Bedrock translate natural language questions into formal logic using foundation models, then validate these against predefined rules with an SMT solver, providing mathematically sound verdicts. This process ensures AI responses adhere strictly to specified policies, offering explainability and verifiability.

The suite comprises six Agent Skills, each dedicated to a stage in the policy lifecycle: authoring, reviewing, testing, debugging, deploying, and validating. These skills are structured with clear instructions, supporting scripts, and shared references, allowing integration into various coding agents such as Claude Code, Kiro, Cursor, and Codex.

A practical example demonstrates the full lifecycle on a parental leave eligibility policy, illustrating how rules are extracted from a source document, tested with sample questions, and deployed behind guardrails for live validation. The process emphasizes explainability, with each verdict accompanied by the rules that support or contradict it, and includes a runtime rewrite loop to ensure answer correctness.

This approach enhances the reliability and transparency of AI systems, applicable across domains like finance, insurance, and healthcare. Developers can install the skills, input their policies, create relevant tests, and deploy versioned policies with confidence in their compliance and correctness.