Browse The Skill Store

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

Kubernetes Config Error Detective

by Shandra

$50

Audits Kubernetes manifests, Helm values, deployment logs, and service configs to detect configuration errors and produce safe, reviewable fix plans.

Fleet Scale Migration Orchestrator Human Supervised

by John Barros

$39

Orchestrate human-supervised code migrations across repository fleets with verifier loops and judge review gates.