Cekura
Official@cekura-ai
Offers specialized evaluation frameworks and custom metric design for optimizing voice-based conversational systems and performance benchmarking.
Agent Skills by Cekura
Showing 14 vetted skills indexed across 2 GitHub repositories.
cekura-aicekura-predefined-metrics
Selects and configures Cekura's built-in evaluation metrics for voice agent testing.
cekura-aicekura-coordinator
Routes users to the appropriate Cekura skill or command based on their voice agent testing task.
cekura-aicekura-metric-improvement
Improves voice agent evaluation metrics through structured feedback and the Cekura labs pipeline.
cekura-aicekura-bot-test-writer
Updates committed Cekura voice-agent test suites to match pull request diffs.
cekura-aicekura-personality-design
Configure simulated caller personalities for voice agent testing on the Cekura platform.
cekura-aicekura-create-agent
Configures and connects voice AI agents to the Cekura testing platform.
cekura-aicekura-generate-scenarios
Convert flagged production call logs into clustered evaluator scenarios for Cekura voice agents.
cekura-aicekura-infra-test-suite
Creates source-controlled Cekura JSON test suites and CI gates for voice agent pipelines.
cekura-aicekura-onboarding
Guides new users through Cekura platform setup from agent connection to first verified test result.
cekura-aicekura-self-improving-agent
Reproduce voice agent failures in Cekura simulation and iterate verified prompt and config fixes.
cekura-aicekura-flag-call-log-failures
Triage production call logs to flag agent failures and compute outcome distributions.
cekura-aiCekura Eval Design
Design, configure, and execute evaluators for AI voice agents on Cekura.
cekura-aiCekura Labs Workflow
Guide iterative metric improvement cycles for AI voice agents on Cekura.
cekura-aiCekura Metric Design
Creates custom AI and machine-learning system evaluation metrics and workflows.
Frequently Asked Questions About Cekura
FAQPage SchemaWhat specific tasks can be performed using Cekura?▼
Cekura enables the design, configuration, and execution of evaluators specifically for voice-based systems. Users can create custom metrics to measure system performance and manage iterative improvement cycles to refine the accuracy and reliability of voice-based conversational outputs.
Which personas benefit from using Cekura?▼
Cekura is designed for machine learning engineers, voice system architects, and quality assurance specialists focused on conversational performance. It serves professionals tasked with benchmarking system responses and implementing rigorous evaluation standards for voice-based interfaces.
What are the prerequisites for implementing Cekura?▼
Implementation requires an existing voice-based system architecture and defined performance objectives. Users must have access to the Cekura platform to configure evaluators and define the specific metrics required for their unique voice-based conversational environment.