An operational guide for using Argo CD to deploy applications to Kubernetes from files stored in Git. It covers applications, deployment rules, health checks, project boundaries, and safe rollbacks.

Use it to set up Git-based continuous delivery, configure multi-cluster or multi-team boundaries, diagnose out-of-sync applications, and plan rollbacks.

It helps keep the live cluster aligned with the reviewed configuration in Git instead of relying on manual changes. It also gives agents a way to investigate failed or unhealthy deployments safely.

argocd — Skill for Claude Code and Codex by alivirgo

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add alivirgo/Major-AI-Skills --skill argocd

Clone the repo

git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code, Codex.

Or install major-ai-skills, the plugin that ships this one along with the rest of its 147 skills, 7 plugins.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/argocd/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/argocd)

Your own site

<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/argocd"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/argocd/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/argocd"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/argocd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 837 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00027	$0.00837
Opus 5	$0.00014	$0.00418
Sonnet 5	$0.00005	$0.00167
Haiku 4.5	$0.00003	$0.00084

Measured yesterday against content hash fe9d81f5e74f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

argocd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/argocd/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Argo CD GitOps AI Skill Guide

Overview

Argo CD continuously reconciles Kubernetes cluster state to manifests stored in Git (plain YAML, Helm, Kustomize). An Application points at a repo path and destination cluster/namespace; sync status and health drive rollout visibility. Agents should favor declarative Application CRs, restrict AppProjects, and avoid click-ops syncs that bypass PR review.

Git repo (desired) ----> Argo CD Application controller
                              |
                              v
                     Destination cluster API
                              |
                              v
                     Live resources + health

When to use

Wiring Kubernetes CD so merges to main deploy automatically
Debugging OutOfSync, Degraded, or hook failures
Multi-cluster or multi-tenant AppProject boundaries
Comparing Argo CD vs Flux for GitOps on existing clusters

Operational directives

Desired state lives in Git - do not kubectl edit production objects managed by Argo.
Prefer automated sync with prune and selfHeal only after dry-run confidence.
Scope AppProjects to allowed repos, namespaces, and cluster destinations.
Use sync waves/hooks sparingly; document ordering assumptions.
Never embed cluster admin tokens in Application manifests.

Concrete examples

Application manifest

apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: api
  namespace: argocd
spec:
  project: default
  source:
    repoURL: https://github.com/example/platform-gitops
    targetRevision: main
    path: apps/api/overlays/prod
  destination:
    server: https://kubernetes.default.svc
    namespace: api
  syncPolicy:
    automated:
      prune: true
      selfHeal: true
    syncOptions:
      - CreateNamespace=true

CLI diagnostics

argocd login argocd.example.com --sso
argocd app list
argocd app get api
argocd app sync api --dry-run
argocd app history api
argocd app rollback api <id>
argocd app diff api

Read the full file on GitHub · 111 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday Changed · -5 tokens per session fe9d81f5e74f
6d ago First seen · 111 lines · 32 tokens per session scan A ca4a11dab8b4

Subscribe to this mod's changes

argocd is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 837 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

CI and CD Containers DevOps and cloud agent-skills agentic-skills ai-agent-skills ai-agents ai-coding argocd cd gitops helm kubernetes sync

argocd

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Argo CD GitOps AI Skill Guide

Overview

When to use

Operational directives

Concrete examples

Application manifest

CLI diagnostics

What this file has done since we first saw it

Other skills, from other repositories

kubernetes-operator

argocd

argocd-expert

Triage Argo CD App OutOfSync

devops-cicd

DevOps & Deployment