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 by alivirgo/Major-AI-Skills

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.

Or install major-ai-skills, the plugin that ships this one along with the rest of its 147 skills, 8 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 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,668 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	$0.00042	$0.01668
Opus 5.5	$0.00017	$0.00667
Sonnet 5.5	$0.00008	$0.00334
Haiku 4.5	$0.00004	$0.00167

Measured 21d ago against content hash b4af0d6a3b27, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 21d ago.

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 · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Argo CD GitOps AI Skill Guide (Claude)

Overview & Engine Architecture

Argo CD continuously reconciles cluster state to Git-defined desired state (plain YAML, Helm, Kustomize, Jsonnet). An Application binds repo path + revision to a cluster/namespace; AppProject enforces allowlists. The controller diff-computes live vs desired, sync applies patches, and health assesses resource readiness. Agents treat Git as source of truth—no kubectl edit on managed objects—and respect prune/selfHeal blast radius.

┌─────────────────────────────────────────────────────────────┐
│                 Argo CD reconciliation                      │
│                                                             │
│  Git repo (main) → Application controller                   │
│       ↓ compare + hydrate (helm/kustomize)                  │
│  Cluster API ← sync (hooks, waves, replace options)         │
│  UI/CLI: Synced/OutOfSync, Healthy/Degraded/Progressing   │
└─────────────────────────────────────────────────────────────┘

When to use / when not to

Use when

Wiring CD so merged Git revisions deploy to Kubernetes automatically.
Debugging OutOfSync, Degraded, sync hooks, or HPA/replica drift.
Designing AppProject boundaries for multi-team/multi-cluster fleets.

Do not use when

Building container images—CI updates tags/digests in Git (@docker, @github-actions).
Cluster creation—@terraform; raw pod debug—@kubernetes.

Operational Capabilities & Agent Directives

Desired state lives in Git; manual cluster edits are debt—revert or commit fix.
Automated sync: enable prune + selfHeal only after nonprod dry-runs; understand prune deletes resources removed from Git.
ignoreDifferences alone does not skip fields at sync time—add syncOptions: [RespectIgnoreDifferences=true] so ignored fields (e.g. /spec/replicas under HPA) are not overwritten during apply.
AppProject scopes: allowed repos, destinations, resource kinds; deny cluster-scoped surprises.
Sync waves / hooks: document ordering; failed PreSync hooks block release—check hook pod logs.
Multi-source Applications: document which source owns which path; avoid opaque overrides.
Never embed cluster admin tokens in Application manifests; use in-cluster https://kubernetes.default.svc or registered clusters with RBAC.
Image updates: CI opens PR bumping image digest in values/overlays—Argo watches Git, not CI kubectl.

Read the full file on GitHub · 174 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

21d ago Changed · +63 lines · +15 tokens per session b4af0d6a3b27
1mo ago Changed · -5 tokens per session fe9d81f5e74f
1mo 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 (2 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,668 once invoked, about $0.0002 per session on Opus 5.5. 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 app-of-apps argocd gitops helm kubernetes kustomize sync

devops-automator

Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use…

curiositech/windags-skills · 87 tokens

argocd