create-eval-case

Extract dialogue details from chat transcripts to generate structured evaluation test cases.

1|1|Updated Jan 1, 2026
One-click install
npx skills add https://github.com/wineast/agent0 --skill create-eval-case
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-eval-case
Source: https://github.com/wineast/agent0/tree/main/.claude/skills/create-eval-case
Command: npx skills add https://github.com/wineast/agent0 --skill create-eval-case

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the extraction of evaluation use cases from conversational interactions, enabling efficient creation of regression test cases for AI behavior analysis.

Core Features & Use Cases

  • Dialogue Analysis: Analyzes conversation transcripts to identify user inputs, AI errors, and corrective actions.
  • Test Case Generation: Constructs structured evaluation test cases based on dialogue context, including expected behaviors and tool interactions.
  • Use Case: When an AI makes a mistake during a customer support chat, this Skill captures the interaction and generates a test case to verify the correction in future deployments.

Quick Start

Provide the full conversation transcript where an AI error occurs and the correction is made; this Skill will extract relevant details and generate a test case for regression testing.

Frequently Asked Questions about create-eval-case

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

FAQPage Schema
How do I generate regression test cases from AI chat transcripts?

Dialogue analysis extracts evaluation test cases by identifying user inputs, AI errors, and corrective actions within conversation transcripts. It captures the interaction context and expected behaviors to verify corrections in future AI deployments.

What information is included in extracted dialogue evaluation test cases?

You need to provide the full conversation transcript where the AI error occurs and the corrective action is made. Supplying this complete chat interaction context allows the extraction of relevant details to generate accurate regression tests.

When should I create regression tests from customer support chat interactions?

This Skill analyzes chat interactions to generate structured evaluation test cases for AI behavior verification. It is specifically designed for conversation analysis scenarios rather than processing standard unit tests or API logs.

Do I need any dependencies to analyze conversation transcripts for test case generation?

You need to provide the full conversation transcript where the AI error occurs and the corrective action is made. Supplying this complete chat interaction context allows the extraction of relevant details to generate accurate regression tests.

What is the best way to capture AI errors for future behavior verification?

This Skill analyzes chat interactions to generate structured evaluation test cases for AI behavior verification. It is specifically designed for conversation analysis scenarios rather than processing standard unit tests or API logs.