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.