olakai-create-agent

Create AI agents with Olakai monitoring, workflows, and KPI governance configured from scratch.

Updated Jan 15, 2026
One-click install
npx skills add https://github.com/olakai-ai/olakai-skills --skill olakai-create-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: olakai-create-agent
Source: https://github.com/olakai-ai/olakai-skills/tree/main/skills/olakai-create-agent
Command: npx skills add https://github.com/olakai-ai/olakai-skills --skill olakai-create-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create a new AI agent with Olakai monitoring, analytics, and governance set up from scratch, reducing manual integration effort.

Core Features & Use Cases

  • Workflow-scoped agent creation: define a workflow, create an agent, and attach KPI tracking for observability.
  • One-click onboarding: move from concept to running agent with monitoring and governance.
  • End-to-end governance support: configure custom data configs and KPIs to quantify agent performance across projects.

Quick Start

Create a new Olakai-monitored AI agent by creating a workflow, then adding the agent with a description and KPI configuration.

Frequently Asked Questions about olakai-create-agent

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

FAQPage Schema
How do I create an AI agent with monitoring and KPI governance from scratch?

To create an AI agent with monitoring, define a workflow, add an agent with a description, and configure KPI tracking. This bootstraps analytics and governance across projects, reducing manual integration effort.

What is workflow-scoped agent creation and how does it work?

Workflow-scoped agent creation maps an AI agent to a specific workflow while attaching KPI tracking. This mechanism ensures observability and end-to-end governance by quantifying performance across projects.

Do I need the Olakai CLI installed to set up agent monitoring?

Yes, you need the Olakai CLI installed and must authenticate via olakai login. You also need an API key per agent to configure custom data configs, workflows, and KPIs.

Can I configure custom data configs and KPIs for AI agents across multiple projects?

Yes, you can configure custom data configs and KPIs to quantify agent performance across projects. This end-to-end governance support is built into the agent creation process.

What is the best way to onboard a new AI agent with analytics and governance?

The best way to onboard a new AI agent is using a one-click setup that moves from concept to a running agent with monitoring and governance, significantly reducing manual integration effort.