Series · 4 parts
Measuring Agent Skills
Three measurements of how AI agents actually use a skill library: why a list failed, why subagents never browsed it, and what Claude Code's native plugin evals do and do not prove.
- Part 1Managing AI Agent Skills: A Case Study in Preventing DuplicationLearn how a generated skill map can reveal duplicate AI skills, stale forks and routing gaps, with a practical audit sequence and case-study limits.Jim Deola · August 9, 2026
- Part 2Why Aren't My Claude Code Subagents Using My Skills?Diagnose why a Claude Code subagent is not using an installed skill: check preloading, tool access, task instructions and execution evidence.Jim Deola · August 26, 2026
- Part 3How to Test Claude Code Plugins and Interpret Eval ResultsTest Claude Code plugins with bounded cases and inspect errors, routing, baseline access and output quality before interpreting eval scores.Jim Deola · September 16, 2026
- Part 5AI Agent Memory Benchmarks: What Two Small Studies Show UsLearn how to evaluate AI agent memory and workflow benchmarks: task design, retrieval quality, missing telemetry, grading and limits.Rhize Media Team · September 26, 2026
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