Cekura Create Agent

Full main agent setup flow — pick provider early, it shapes everything that follows.

Standard path (LiveKit, Pipecat, Bland, Chirp, KoreAI, Genesys, Cisco, self-hosted):
Phase 1  → Phase 2  → Phase 3  → Phase 4  → Phase 5  → Phase 6  → Phase 7  → Phase 8  → Phase 9  → Phase 10
Project    Provider   Basics &   Description  Create     Mock       KB         Dyn Vars   Advanced   Verify
                      Conn Type               agent      Tools

Auto-import path (VAPI / Retell / ElevenLabs / Synthflow — configure_from_provider: true):
Phase 1  → Phase 2  → Phase 5  → Phase 9  → Phase 10
Project    Provider   Create     Advanced   Verify
           (api_key   (import,   config
           + agent_id) poll
                      progress)

The 10 Phases

What This Skill Does

This skill configures the user's main agent — their existing voice/chat AI — on Cekura so it can be tested. The "agent" throughout this skill always refers to the user's production voice/chat AI (the thing being tested), never a new agent being invented. By Phase 4, the main agent's identity, description, and purpose must be fully established. Do not ask "what should this agent do?" after Phase 4 — that was determined from the user's existing code, provider config, or system prompt.

Execution Model — Read This First

This skill executes one phase at a time, in order. Do not plan ahead, do not batch phases, do not jump.

How to execute each phase:

1. Announce the phase you are starting: "Starting Phase N — [name]"
2. Read the phase file — open and follow the instructions in phaseN-*.md. Do not rely on memory of what the phase contains.
3. Complete every task in that phase's file
4. Satisfy the gate condition
5. Announce completion: "Phase N complete."
6. Move immediately to Phase N+1 — do not wait for the user to prompt you

Never do this:

• Start Phase 4 before Phase 3 is fully complete
• Skip a phase for a non-auto-import provider because it "seems done"
• Stop after Phase 5 because the main agent was created
• Bundle multiple phases into one response without completing each
• Skip phases for non-auto-import providers (e.g. "phases 6–9 not needed" for LiveKit) — for these providers every phase is mandatory
• Make decisions about a phase without first reading its phase file
• Ask the user "shall we continue?" between phases — just continue
• Give the user a list of steps to do manually — execute them yourself using Bash and API calls
• Offer a placeholder URL or "connect the real server later" as an option — if a WebSocket URL is needed, get a real working one now by running the server and ngrok yourself

Do it yourself. Do not instruct. When something needs to be done — making an API call, updating a field, running a scenario — do it directly using available tools. Do not write out steps for the user to follow. Only ask the user when you genuinely cannot proceed without their input (e.g. a file they need to upload, a decision only they can make).

Use MCP tools, not raw API calls. The Cekura MCP server is configured and authenticated. Use it directly for all Cekura platform operations — listing projects, creating agents, registering variables, running scenarios, fetching results. Do not generate curl commands for operations that the MCP server can perform. Raw curl is only a fallback when a specific operation is not available via MCP.

All 10 phases are mandatory for non-auto-import providers — execute every phase, every time, no exceptions. For VAPI, Retell, ElevenLabs, and Synthflow using configure_from_provider, phases 3, 4, 6, 7, and 8 are skipped (the backend imports all of that automatically). The phase files for those phases contain explicit skip instructions — follow them.

The skill does not end until Phase 10's verification run succeeds. If the run reveals issues (missing dynamic variables, broken mock tools, wrong connection settings, silent agent), go back to the relevant phase, fix the issue, and retry the run. Never exit before a real conversation is confirmed in the transcript.

If the user has partially completed setup: ask at the start which phases are done, mark them complete, then begin from the first incomplete phase — but always end at Phase 10.

Collect conversationally — ask one thing at a time. Do not dump all questions at once.

Never use a field's default value without determining the correct value first. For every field with a default, actively figure out the right value from code, config, provider API, or context — then confirm it with the user. Only fall back to asking the user directly if it genuinely cannot be determined. Never leave a field at its default because it was easier. A default is a last resort, not a starting point.

After every inferred decision, explain and confirm. When you determine a value from code, config, or context — state what you decided, give one line explaining why, and ask the user to confirm before using it. Example: "I'll set language to multi — the system prompt contains Hindi-specific instructions alongside English. Does that sound right?" Do not silently commit inferred values.

API Access

Prerequisites: Cekura account + API key or OAuth.

For Claude Code plugin users, platform tools are auto-configured. If platform operations aren't working, run /setup-mcp to configure the connection.

For other clients, use the Cekura dashboard or call the API directly. All Cekura API calls use X-CEKURA-API-KEY: <key> as the auth header — never Authorization: Api-Key or Authorization: Bearer.

Reference Files

• references/integrations.md — Full per-provider field lists, WebSocket message format, custom webhook payload, provider comparison table
• references/websocket-server-scaffold.md — WebSocket server code scaffolds (Python, Node.js/TS, FastAPI) implementing Cekura's protocol; use when user needs a server generated
• references/mock-tool-design.md — Per-input branching examples, chain dependency design, append-not-replace pattern
• references/api-reference.md — Complete main agent API endpoints, all field schemas, mock tool and KB endpoints
• scripts/upload-agent.sh — Curl wrapper for creating/updating agents with large system prompts

Docs: https://docs.cekura.ai/documentation/integrations/ | https://docs.cekura.ai/mcp/overview