Agent Skills: evaluation
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
ID: shipshitdev/library/evaluation
353
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Skill Files
The files that make up evaluation.
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- initCreates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instructions or Claude configuration for a new repository, when an existing AGENTS.md is too long, generic, or stale, when agents repeatedly make avoidable mistakes, or when repository workflows have changed and the agent configuration needs pruning. Applies a discoverability filter—omitting anything Claude can learn from README, code, config, or directory structure—and a quality gate to verify each line remains accurate and operationally significant.
- regression-modelerRun regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
- prototypeBuild a throwaway prototype to answer a focused logic, state-model, or UI question before committing to production design. Use when the user asks to prototype, sanity-check a model, mock up UI, explore design options, or try a few designs.
- skill-creatorGuide for authoring user-defined custom UnitySkills skills inside your own Unity project - a [UnitySkill] C# method plus the conventions that let agents and the server discover and gate it
- package-releasePackage voxtype for release. Creates deb and rpm packages from binaries. Use when building distribution packages.
- design-testing-strategyUse before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.