cekura-create-agent
Cekura Create Agent
Purpose
Collect comprehensive context about a client's voice AI agent and set it up on Cekura — ready for testing and observability. This is an interactive, multi-step flow that creates the agent, configures provider integration, sets up mock tools, uploads knowledge base files, and adds dynamic variables.
Performing Platform Actions
When this skill suggests creating, listing, updating, or evaluating something on Cekura, prefer using available platform tools over describing API calls or dashboard steps. In Claude Code with the Cekura plugin installed, these tools are auto-configured and handle authentication, parameter validation, and error handling for you. Fall back to direct API endpoints or dashboard guidance only when no tools are available in the current session.
How to Use This Skill
This is an interactive collection-and-configuration flow. Walk the user through each phase:
- Collect information conversationally — ask for what you need, don't dump a form
- Perform each step via the Cekura API or dashboard
- Validate each step before moving to the next
- The user may already have some steps done — skip what's complete
More from cekura-ai/cekura-skills
cekura-metric-design
>
9cekura-coordinator
>
9cekura-eval-design
>
9cekura-fixing-prod-issues
Debugs a failing production call, reproduces the bug with Cekura evaluators, implements a fix, verifies it, runs regression tests, then raises a PR with evidence. Use when the user wants to fix a production call bug, investigate a failing prod call, reproduce and fix a production issue, run regression tests before a PR, or says things like "fix this prod call issue", "debug and fix call ID", "test my fix against prod scenarios", "reproduce this production bug", or "regression test before raising PR".
9cekura-metric-improvement
>
9cekura-self-improving-agent
>
9