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Deploy applications to Kubernetes using Argo CD GitOps workflows. Use when Claude needs to work with Argo CD for GitOps-based deployments. GitOps pattern enforced, no CI pipeline design, application manifests only.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | argocd-app-deployment |
| description | Deploy applications to Kubernetes using Argo CD GitOps workflows. Use when Claude needs to work with Argo CD for GitOps-based deployments. GitOps pattern enforced, no CI pipeline design, application manifests only. |
This skill provides tools for deploying applications to Kubernetes using Argo CD GitOps workflows. It focuses on GitOps patterns with application manifests, without involving CI pipeline design.
Follow these steps to deploy applications using GitOps:
This skill includes scripts for common Argo CD operations:
create_application.sh: Create Argo CD Application CRsync_application.sh: Trigger application synchronizationdelete_application.sh: Delete Argo CD Applicationupdate_application.sh: Update application configurationgenerate_app_manifests.sh: Generate application manifestsvalidate_manifests.sh: Validate Kubernetes manifestsdiff_manifests.sh: Compare local and deployed manifestssetup_gitops_repo.sh: Prepare Git repository for GitOpscommit_manifests.sh: Commit manifests to Git repositorytrigger_sync.sh: Trigger sync from command linecheck_health.sh: Check application health statusmonitor_sync.sh: Monitor sync progressget_status.sh: Get detailed application statusExecutable scripts for Argo CD application management and GitOps workflows.
Examples:
create_application.sh - Script to create Argo CD Application CRsync_application.sh - Script to trigger application synchronizationcheck_health.sh - Script to check application health statusAppropriate for: Argo CD Application management, GitOps workflows, and application lifecycle operations.
Documentation about Argo CD best practices and GitOps configuration patterns.
Examples:
Appropriate for: In-depth information about Argo CD configuration and GitOps practices.
Template files and configurations for Argo CD applications.
Examples:
Appropriate for: Standard templates used in Argo CD deployments.
Any unneeded directories can be deleted. Not every skill requires all three types of resources.
kubernetes-deployer directlysyncPolicy.automated with selfHeal: true — manual drift from the desired state won't be corrected automaticallyk8s-foundation — Kubernetes cluster prerequisites for ArgoCDkubernetes-deployer — Imperative Kubernetes deployments when GitOps is not requiredinfra-devops — Full infrastructure and DevOps pipeline including ArgoCD integrationOptimize Three.js and WebGL performance, reduce GPU load, suggest fallback UI strategies, and maintain 60fps experience.
Agent-to-Agent (A2A) messaging system for direct communication between Cloud and Local agents. Replaces file-based handoffs with real-time messaging while maintaining vault as audit record. Supports task delegation, status updates, approval requests, and result delivery between distributed AI Employee instances. Use when coordinating multiple Claude Code agents across cloud and local environments.
Implements the core Customer Success Agent using OpenAI Agents SDK. Manages the orchestration of tool calls (search, ticket creation, etc.), conversation logic, and state management. Use when Claude needs to create or modify Customer Success Agent implementations with OpenAI Agents SDK, orchestrate multiple tools, manage conversation flows, or handle persistent state across interactions.
Generate valid AGENTS.md files for repositories according to AAIF standards. Use when Claude needs to create or update AGENTS.md files that document AI agents in a repository following standard format and best practices.
Design learning experiences for AI-native software development, integrating the Three Roles Framework (AI as Teacher/Student/Co-Worker), co-learning partnership pedagogy, and "Specs Are the New Syntax" paradigm into programming curriculum. Use this skill when educators need to prepare students for professional AI-driven development workflows, teach effective specification-first collaboration, or balance AI assistance with foundational learning goals. This skill helps create lessons that leverage AI tools appropriately while ensuring students build independent capability, bidirectional learning patterns, and ethical AI use practices. Aligned with Constitution v4.0.1.
Expert in LLM integration (Claude/GPT), RAG systems for self-learning, and WhatsApp Business API for remote approval workflows. Use when: (1) Designing prompts for Claude or GPT models with system prompts and few-shot learning, (2) Implementing multi-agent orchestration with specialized agent prompts, (3) Setting up RAG systems with vector databases (Pinecone, ChromaDB, Weaviate), (4) Implementing document chunking, embedding generation, and retrieval strategies, (5) Building WhatsApp approval workflows with interactive messages and buttons, (6) Integrating feedback loops for continuous learning, (7) Optimizing LLM API calls with error handling and retries, (8) Creating message templates for WhatsApp Business API. Provides prompt templates, RAG implementation patterns, WhatsApp message templates, and comprehensive reference documentation.