Pre-baked prompts that turn your coding agent into an eval consultant

What it does evals-skills is a set of prompt-based instructions—packaged as plugins for Claude Code and the open Skills CLI—that tell an AI coding agent how to help you build and debug LLM evaluations. The skills cover tasks like auditing an eval pipeline for common flaws, generating synthetic test data, writing LLM-as-judge prompts, calibrating judges against human labels, and evaluating RAG pipelines. Think of it as a playbook encoded for an agent rather than a human.

The interesting bit Instead of shipping a Python library or a framework, the project ships structured natural-language instructions that an agent executes. The author is transparent that these only capture mistakes that generalize across projects, and even provides a meta-skill to help you write better, domain-specific ones.

Key highlights

• Seven skills, including eval-audit for pipeline diagnostics, validate-evaluator for bias correction, and build-review-interface for human annotation UIs.
• Built from patterns observed across 50+ companies and a training course, so the advice is practitioner-tuned rather than theoretical.
• Includes a meta-skill to bootstrap custom skills grounded in your own stack and data.
• Works as a plugin inside Claude Code or via the standalone Skills CLI.
• Explicitly scoped: it does not handle production monitoring, CI/CD integration, or deep data analysis.

Caveats

• The README repeatedly notes these are starting points, and custom skills tailored to your domain will outperform the generic ones.
• Much of the eval lifecycle—production monitoring, CI/CD, and data analysis—is explicitly out of scope and pushed toward the author’s paid course.

Verdict Grab this if you are already using Claude Code or an AI coding agent and want a second opinion on your eval setup. Skip it if you are looking for a standalone evaluation framework or a fully automated solution.