An Engineer’s Guide to Better AI Skills: Implementing a Testing Process to Optimize Agent…

This post details the implementation of a testing process to optimize AI agent skill invocation for coding assistance. It introduces a Bash script for orchestrating automated testing, categorizes prompts into positive and negative cases, and defines heuristics for detecting skill invocation from verbose output logs. Key metrics like Core Success Rate, Edge False Positive Rate, and Overall Accuracy are presented. The post also outlines optimization strategies such as frontmatter descriptions, aggressive language in prompts, and the use of AGENTS.md files, with comparative performance data for Codex and Claude agents.