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cekura-metric-design

Use when the user asks to "create a metric", "write a metric", "design a metric", "build a metric for", "evaluate agent performance", "measure call quality", "track a KPI", "add a workflow metric", "improve my metric", "fix a metric", "debug metric results", "set up quality scoring", or "what metrics do I need". Also relevant when discussing LLM judge prompts, custom code metrics, evaluation triggers, VALID_SKIP patterns, section extraction, or metric best practices for Cekura voice AI agents. Covers both creating new metrics and reviewing, iterating on, or troubleshooting existing ones.

83

1.47x
Quality

85%

Does it follow best practices?

Impact

100%

1.47x

Average score across 2 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Evaluation results

100%

4%

Booking Flow Compliance Metric

LLM judge metric design for voice AI booking flow compliance

Criteria
Without this skill
With this skill

llm_judge metric type

100%

100%

Prompt in description field

100%

100%

SCOPE & FOCUS section

100%

100%

DO NOT FLAG section

100%

100%

INPUTS — relevant variables only

100%

100%

Numbered evaluation sections

100%

100%

Explicit PASS and FAIL examples

70%

100%

FAILURE CONDITIONS — closed list

100%

100%

SAFEGUARDING NOTES

100%

100%

MM:SS timestamp requirement

100%

100%

N/A conditions covered

100%

100%

Concept-based scoping language

80%

100%

100%

59%

Setting Up Rescheduling Evaluation for a Healthcare Booking Agent

Conditional trigger and baseline metrics setup

Criteria
Without this skill
With this skill

TRUE-if-ANY phrasing

100%

100%

Do-NOT phrasing

100%

100%

Short-call exclusion

0%

100%

Expected Outcome listed

0%

100%

Infrastructure Issues listed

0%

100%

Tool Call Success listed

0%

100%

Latency listed

100%

100%

Two-step activation step 1

40%

100%

Two-step activation step 2

40%

100%

Expected Outcome audio limitation

0%

100%

Two-layer N/A strategy

60%

100%

Repository
cekura-ai/cekura-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.