Deploy To Kubernetes
CheckedHelps with deployment, Kubernetes as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add pjt222/agent-almanac --skill deploy-to-kubernetes -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
pjt222
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Only contacts known or declared hosts: myapp-internal.myapp-prod.svc.cluster.local, myapp.myapp-prod.svc.cluster.local.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
myapp-internal.myapp-prod.svc.cluster.locallocalmyapp.myapp-prod.svc.cluster.locallocalNo obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned pjt222/development-guides at bcca822c1c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bcca822c1c
- Scanned
- 4 files, 1,961 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill allows AI agents to deploy applications and services to a Kubernetes cluster. It handles tasks such as building container images, pushing them to a registry, and applying Kubernetes manifests to provision resources within the cluster. The deployment process is automated, reducing manual effort and potential errors.
When to use it
- Deploying a new microservice or application component to a staging or production environment.
- Automating the release of updated versions of existing applications running in Kubernetes.
- Creating repeatable deployments for consistent environments across different stages (development, testing, production).
- Rolling back deployments to previous stable versions if issues arise after an update.
Key capabilities
- Container image building
- Image registry pushing
- Kubernetes manifest application
- Automated deployment pipelines
Example prompts
- "Deploy the 'my-app' service using the Kubernetes manifest in
deployments/my-app.yaml." - "Build and push the Docker image for my project to the registry, then deploy it to Kubernetes."
- “Rollback the last deployment of ‘payment-service’ to version 1.2.”
Tips & gotchas
Ensure your AI agent has appropriate credentials and access permissions configured within your Kubernetes cluster and container registry before using this skill. The accuracy of the Kubernetes manifests is crucial for successful deployments, so review them carefully.