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~/catalogue/déploiement et infra//k8s-manifest

Génération de manifestes Kubernetes

/k8s-manifest

L'utilisateur doit créer ou optimiser des manifestes Kubernetes pour déployer des applications. L'accent est mis sur la préparation à la production, le renforcement de la sécurité, l'optimisation des

wshobsonwshobson
2.6k
12 octobre 2025
// contenu du skill

model: claude-sonnet-4-0


Kubernetes Manifest Generation

You are a Kubernetes expert specializing in creating production-ready manifests, Helm charts, and cloud-native deployment configurations. Generate secure, scalable, and maintainable Kubernetes resources following best practices and GitOps principles.

Context

The user needs to create or optimize Kubernetes manifests for deploying applications. Focus on production readiness, security hardening, resource optimization, observability, and multi-environment configurations.

Requirements

$ARGUMENTS

Instructions

1. Application Analysis

Analyze the application to determine Kubernetes requirements:

Framework-Specific Analysis

python
import yaml
import json
from pathlib import Path
from typing import Dict, List, Any

class AdvancedK8sAnalyzer:
    def __init__(self):
        self.framework_patterns = {
            'react': {
                'files': ['package.json', 'src/App.js', 'src/index.js'],
                'build_tool': ['vite', 'webpack', 'create-react-app'],
                'deployment_type': 'static',
                'port': 3000,
                'health_check': '/health',
                'resources': {'cpu': '100m', 'memory': '256Mi'}
            },
            'nextjs': {
                'files': ['next.config.js', 'pages/', 'app/'],
                'deployment_type': 'ssr',
                'port': 3000,
                'health_check': '/api/health',
                'resources': {'cpu': '200m', 'memory': '512Mi'}
            },
            'nodejs_express': {
                'files': ['package.json', 'server.js', 'app.js'],
                'deployment_type': 'api',
                'port': 8080,
                'health_check': '/health',
                'resources': {'cpu': '200m', 'memory': '512Mi'}
            },
            'python_fastapi': {
                'files': ['main.py', 'requirements.txt', 'pyproject.toml'],
                'deployment_type': 'api',
                'port': 8000,
                'health_check': '/health',
                'resources': {'cpu': '250m', 'memory': '512Mi'}
            },
            'python_django': {
                'files': ['manage.py', 'settings.py', 'wsgi.py'],
                'deployment_type': 'web',
                'port': 8000,
                'health_check': '/health/',
                'resources': {'cpu': '300m', 'memory': '1Gi'}
            },
            'go': {
                'files': ['main.go', 'go.mod', 'go.sum'],
                'deployment_type': 'api',
                'port': 8080,
                'health_check': '/health',
                'resources': {'cpu': '100m', 'memory': '128Mi'}
            },
            'java_spring': {
                'files': ['pom.xml', 'build.gradle', 'src/main/java'],
                'deployment_type': 'api',
                'port': 8080,
                'health_check': '/actuator/health',
                'resources': {'cpu': '500m', 'memory': '1Gi'}
            },
            'dotnet': {
                'files': ['*.csproj', 'Program.cs', 'Startup.cs'],
                'deployment_type': 'api',
                'port': 5000,
                'health_check': '/health',
                'resources': {'cpu': '300m', 'memory': '512Mi'}
            }
        }
    
    def analyze_application(self, app_path: str) -> Dict[str, Any]:
        """
        Advanced application analysis with framework detection
        """
        framework = self._detect_framework(app_path)
        analysis = {
            'framework': framework,
            'app_type': self._detect_app_type(app_path),
            'services': self._identify_services(app_path),
            'dependencies': self._find_dependencies(app_path),
            'storage_needs': self._analyze_storage(app_path),
            'networking': self._analyze_networking(app_path),
            'resource_requirements': self._estimate_resources(app_path, framework),
            'security_requirements': self._analyze_security_needs(app_path),
            'observability_needs': self._analyze_observability(app_path),
            'scaling_strategy': self._recommend_scaling(app_path, framework)
        }
        
        return analysis
    
    def _detect_framework(self, app_path: str) -> str:
        """Detect application framework for optimized deployments"""
        app_path = Path(app_path)
        
        for framework, config in self.framework_patterns.items():
            if all((app_path / f).exists() for f in config['files'][:1]):
                if any((app_path / f).exists() for f in config['files']):
                    return framework
        
        return 'generic'
    
    def generate_framework_optimized_manifests(self, analysis: Dict[str, Any]) -> Dict[str, str]:
        """Generate manifests optimized for specific frameworks"""
        framework = analysis['framework']
        if framework in self.framework_patterns:
            return self._generate_specialized_manifests(fr
// source originale publique
wshobson/commands
/tools/k8s-manifest.md
Licence : Licence non indiquée. Consultez le dépôt avant toute réutilisation.
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/k8s-manifest.md" "https://raw.githubusercontent.com/wshobson/commands/main/tools/k8s-manifest.md"
Ensuite dans Claude Code, tapez /k8s-manifest pour l'activer.
open_in_newVoir la source originale
// sauvegarder
Sauvegarde disponible après connexion.
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// informations
Créateurwshobson
Étoiles 2.6k
Mis à jour12 octobre 2025
Format.md
AccèsGratuit
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