Skill

Generate Production-Ready Kubernetes Manifests

Create Kubernetes resource manifests with explicit configuration, storage, resource, health-check, and deployment boundaries.

Works with kubernetes

69
Spark score
out of 100
Updated 19 days ago
Source checked Oct 19, 2026
Version 19.10.1

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Why it matters

Automate the creation of robust Kubernetes manifests for various resources like Deployments, Services, and Secrets, ensuring adherence to best practices and enabling multi-environment deployments.

Outcomes

What it gets done

01

Create Kubernetes Deployment manifests

02

Define Service resources for network connectivity

03

Generate ConfigMap and Secret resources

04

Create PersistentVolumeClaim manifests

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-k8s-manifest-generator | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Overview

This skill guides Kubernetes manifest creation for workloads, networking, configuration, secrets, and persistent storage. It emphasizes target-cluster checks and distinguishes file generation from authorized cluster operations. Use it when creating Kubernetes resources or planning multi-environment manifests. Validate the selected cluster APIs, workload requirements, and operational permissions before applying generated files.

What it does

Kubernetes Manifest Generator provides step-by-step guidance for creating Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. It addresses workload execution, network connectivity, application configuration, and persistent storage, alongside naming conventions and Kubernetes practices. Resource limits, health checks, security contexts, and multi-environment deployment design are part of the intended scope.

When to use - and when NOT to

Use it when defining a new Deployment, exposing a workload through a Service, preparing configuration resources, or specifying storage for a stateful workload. Begin by clarifying the workload goal, constraints, and required inputs. Detailed patterns and examples are handled through the implementation playbook.

The guidance treats manifest fragments as illustrative rather than validated production configurations. Generating files does not authorize applying them, creating debug Pods or load balancers, running migrations, or reading credentials. Missing inputs, permissions, operational boundaries, or success criteria require clarification.

Inputs and outputs

Inputs include the intended workload, target environment, cluster capabilities, and configuration requirements. Outputs are resource manifests and verification steps appropriate to those requirements. Resolve placeholders, pin images, and select APIs and controllers supported by the target cluster. Verify the ServiceAccount, storage choices, secrets, ports, and probes before considering a manifest ready for use.

Confirm the target context and namespace before an authorized operation. A server-side dry run still contacts admission webhooks, so it is not equivalent to purely local file generation. Keep secrets out of Git and logs. ConfigMap or Secret updates used as environment variables do not automatically refresh running processes. Replicas and maxUnavailable settings alone do not guarantee availability, and alternative template variants should not all be applied together.

FAQ

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