platform

Automate platform deployment, scaling, and lifecycle management of daemon-backed agents.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Kord96/kordinate --skill platform-kord96
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: platform
Source: https://github.com/Kord96/kordinate/tree/main/agents/charon/skills/platform
Command: npx skills add https://github.com/Kord96/kordinate --skill platform-kord96

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps platform operators deploy and manage a cohesive runtime platform for daemon-backed agents, including scaling, status, and lifecycle coordination.

Core Features & Use Cases

  • Centralized platform deployment and scale controls for agents, curators, Kafka, and KEDA overlays.
  • Generation and regeneration of manifests and runtime projections to onboard new daemon-backed agents.
  • Real-world scenario: operators update agent specs and apply through /platform deploy <env> to roll out changes across environments.

Quick Start

Define a new daemon-backed agent via the platform workflow and run the /platform deploy <env> flow to apply changes.

Frequently Asked Questions about platform

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

FAQPage Schema
How do I deploy and scale daemon-backed agents across multiple environments?

You can deploy and scale daemon-backed agents by generating platform manifests and applying kustomize overlays through kubectl, ensuring idempotent operations across environments.

Can I use kustomize overlays to manage runtime configurations for agent platforms?

Yes, kustomize overlays are applied to manage runtime projections, allowing operators to define environment-specific configurations for daemon-backed agents during deployment.

How does KEDA scaling work for daemon-backed agent platforms?

KEDA scaling integrates with the platform to automatically adjust daemon-backed agent replicas based on workload demand, coordinating lifecycle management and status updates across environments.

What's the best way to onboard a new daemon-backed agent into an existing platform?

To onboard a new agent, define its spec through the platform workflow, regenerate manifests and runtime projections, then run the deploy flow to apply changes via kubectl with idempotent operations.

Do I need kubectl and kustomize to manage platform deployment for agents?

Yes, kubectl and kustomize overlays are required for applying platform manifests, wiring operator secrets, and ensuring idempotent deployment operations across environments.

Why does manifest regeneration matter when adding daemon-backed agents?

Manifest regeneration ensures runtime projections and platform manifests accurately reflect newly added daemon-backed agents, maintaining consistent state across all environments during scaling and lifecycle operations.