Skill UI

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.

This skill provides a standardized framework for evaluating autonomous AI agents. It tracks task completion rates, planning accuracy, tool invocation precision, and cost benchmarks. Suitable for recording evaluation runs, comparing models against baselines, and generating reproducible data schemas like CSV or SQL for compliance tracking in distributed engineering systems.

Guides implementing features, fixes, and contract migrations in existing repositories while preserving user edits, public contracts, and repository conventions.