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quality-engineer

Automate AI assistant test case creation, evaluation, and results analysis across playbook versions.

Updated Feb 20, 2026
Search Tags:#automation#testing#qa#metrics#playbooks#conversations#eval
One-click install
npx skills add https://github.com/studiochat/skills --skill quality-engineer-studiochat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quality-engineer
Source: https://github.com/studiochat/skills/tree/main/skills/quality-engineer
Command: npx skills add https://github.com/studiochat/skills --skill quality-engineer-studiochat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates testing and evaluation of AI assistants by creating QA test cases, running evaluations, and analyzing outcomes across playbook versions.

Core Features & Use Cases

  • Create test cases, batch import, and run evaluations against a specific playbook version.
  • Simulate conversations to validate behavior and measure assertion pass rates.
  • Compare results across playbook versions to detect regressions or improvements.
  • Integrate with environment-provided API keys and run deterministic QA tasks via the CLI scripts.

Quick Start

Create a test case for a base playbook and run an eval to verify that all assertions pass and results are actionable.

Frequently Asked Questions about quality-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate QA testing for AI assistant playbooks?▼

Automate QA testing for AI assistant playbooks by creating test cases, simulating conversations, and running evaluations against a specific playbook version to measure assertion pass rates. The Skill uses CLI scripts to perform deterministic runs and capture structured results.

What is the best way to detect regressions across AI playbook versions?▼

Detect regressions across AI playbook versions by running deterministic evaluations and comparing results between versions. The Skill quantifies quality gaps by simulating conversations and analyzing assertion outcomes to identify behavioral degradations or improvements.

Do I need API keys to run AI assistant evaluations?▼

Yes, you need environment-provided API keys to run AI assistant evaluations. The Skill requires these keys along with playbook version references and QA scripts to execute deterministic test runs and capture structured evaluation results.

How does simulating conversations validate AI assistant behavior?▼

Simulating conversations validates AI assistant behavior by applying test cases to a playbook version and measuring assertion pass rates. This process identifies quality gaps by automating evaluation and analyzing outcomes against expected behavioral responses.

Can I batch import test cases for AI playbook evaluation?▼

Yes, you can batch import test cases for AI playbook evaluation. The Skill supports creating test cases, batch importing them, and running evaluations against a specific playbook version to verify that all assertions pass and results are actionable.

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