Platform Engineering & CI/CD Pipeline Agent Skill

Expertise on the CI/CD pipeline, remote builds using Argo Workflows, Kaniko, and GitHub Actions in the ARM64 K3s cluster.

Context cost
575 tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 2.3 kBtext throughout, nothing executable
Licence
GPL-3.0the author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Expertise on the CI/CD pipeline, remote builds using Argo Workflows, Kaniko, and GitHub Actions in the ARM64 K3s cluster.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

ci-cddevopsgithub
Filed under

Cloud & DevOps

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md2.3 kB · preview
--- name: platform-engineering ---
7# Platform Engineering & CI/CD Pipeline
8
9## Overview
10This skill documents the CI/CD and Remote Build pipelines used in this K3s cluster. Building heavy images (like AI agents and Python ecosystems) on ARM64 nodes (CM4 and RK1) can cause high resource contention (OOMKill) and take a long time.
11To solve this, the cluster implements a hybrid approach: **Local Builds (Kaniko + Argo)** by default, and **Remote Builds (GitHub Actions + Skopeo Sync)** for heavy lifting.
12
13## Remote Build Pipeline (Argo + GitHub Actions)
14
15We use a generic Ansible role called run-remote-build that orchestrates the following:
161. **GitHub CLI Auth:** The Makefile extracts your gh auth token and injects it into Ansible as GITHUB_PAT.
172. **Argo Workflow:** Ansible creates an Argo Workflow (build-{{ remote_app_name }}-remote) in the kaniko namespace.
183. **Trigger:** A container inside the workflow runs gh workflow run to trigger the remote compilation on GitHub Actions' powerful servers.
194. **Monitor:** It watches the run using gh run watch.
205. **Skopeo Sync:** Once the GitHub Action completes and pushes to ghcr.io, the next Argo step uses Skopeo to download the image directly into the local registry (registry.registry:5000).
216. **Tagging:** To ensure the local cluster doesn't accidentally use the untested remote image, Skopeo appends the -remote suffix to the image tag (e.g. v2026.5.16-telegram-remote).
22
23## Available Makefile Commands
24
25You can build all configured remote images by running:
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md323 words
Files1
LicenceGPL-3.0
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈40
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
535
on trigger
The instruction body, read only when the skill fires.
0.29%
of a 200k window
Ten skills this size would take about 3% of the window before you open a file.
050k100k150k200k context window

575 tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Small enough to keep loaded permanently without thinking about it.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 2.3 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md2.3 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The GPL-3.0 licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Platform Engineering & CI/CD Pipeline · 575 tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/platform-engineering-ci-cd-pipeline/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/platform-engineering-ci-cd-pipeline" ] && { [ ! -e .claude/skills/platform-engineering-ci-cd-pipeline ] || { mv .claude/skills/platform-engineering-ci-cd-pipeline "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/platform-engineering-ci-cd-pipeline" .claude/skills/ && echo "Installed .claude/skills/platform-engineering-ci-cd-pipeline"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add villadalmine/platform-engineering-ci-cd-pipeline

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/platform-engineering-ci-cd-pipeline/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/platform-engineering-ci-cd-pipeline/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/platform-engineering-ci-cd-pipeline" ] && { [ ! -e ~/.claude/skills/platform-engineering-ci-cd-pipeline ] || { mv ~/.claude/skills/platform-engineering-ci-cd-pipeline "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/platform-engineering-ci-cd-pipeline" ~/.claude/skills/ && echo "Installed ~/.claude/skills/platform-engineering-ci-cd-pipeline" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/platform-engineering-ci-cd-pipeline/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as platform-engineering in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, platform-engineering-ci-cd-pipeline.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencevilladalmine/platform-engineering-ci-cd-pipeline

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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Who wrote it

VI
villadalmine

Publishes on mcprush.

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