Cekura Eval Design

Design, configure, and execute evaluators for AI voice agents on Cekura.

5|1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/cekura-ai/claude-skills --skill cekura-eval-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Cekura Eval Design
Source: https://github.com/cekura-ai/claude-skills/tree/main/plugins/cekura-evals/skills/eval-design
Command: npx skills add https://github.com/cekura-ai/claude-skills --skill cekura-eval-design

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation, execution, and analysis of test scenarios (evaluators) for AI voice agents, ensuring comprehensive coverage and quality.

Core Features & Use Cases

  • Eval Design: Create detailed test scenarios with specific instructions, expected outcomes, and test profiles.
  • Test Infrastructure: Set up and manage test profiles for realistic caller data.
  • Execution & Analysis: Run tests in various modes (voice, text, WebSocket) and analyze results.
  • Use Case: You need to test your new AI agent's ability to handle appointment cancellations. Use this Skill to design a scenario where the simulated caller attempts to cancel, provides verification details, and the agent's response is evaluated against predefined success criteria.

Quick Start

Use the Cekura Eval Design skill to create a new evaluator for testing agent appointment booking.

Frequently Asked Questions about Cekura Eval Design

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

FAQPage Schema
How do I design test scenarios for AI voice agents?

You design test scenarios for AI voice agents by creating evaluators with specific instructions, expected outcomes, and test profiles. This skill facilitates configuring and executing these test scenarios on the Cekura platform.

Can I run red-team tests on my AI voice agent?

Yes, you can run red-team tests on your AI voice agent. This skill supports designing diverse eval types including workflow, red-team, and deterministic tests to ensure comprehensive quality coverage.

How do I set up test profiles for realistic caller data in scenario testing?

To set up test profiles for realistic caller data, you use this skill to configure test infrastructure. It allows you to manage and mock caller profiles needed for realistic voice agent scenario testing.

What execution modes are available for AI agent testing?

Available execution modes for AI agent testing include voice, text, and WebSocket. This skill integrates with the Cekura API to run your configured evaluator scenarios and analyze the results across these modes.

Does this skill support automated testing for appointment booking workflows?

Yes, this skill supports automated testing for appointment booking workflows. You can design a scenario where a simulated caller attempts to book or cancel an appointment, then evaluate the agent's response against predefined success criteria.

What is the best way to manage test suites for AI voice agents?

The best way to manage test suites for AI voice agents is to plan them using this skill's evaluator design capabilities. It streamlines creating, configuring, and executing comprehensive test scenarios via the Cekura API.