LLM Skills
~/catalogue/monitoring et alertes//error-trace

Suivi et contrôle des erreurs

/error-trace

L'utilisateur doit mettre en œuvre ou améliorer le suivi et la surveillance des erreurs. L'accent est mis sur la détection des erreurs en temps réel, les alertes significatives, le regroupement des er

wshobsonwshobson
2.6k
12 octobre 2025
// contenu du skill

model: claude-sonnet-4-0


Error Tracking and Monitoring

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.

Context

The user needs to implement or improve error tracking and monitoring. Focus on real-time error detection, meaningful alerts, error grouping, performance monitoring, and integration with popular error tracking services.

Requirements

$ARGUMENTS

Instructions

1. Error Tracking Analysis

Analyze current error handling and tracking:

Error Analysis Script

python
import os
import re
import ast
from pathlib import Path
from collections import defaultdict

class ErrorTrackingAnalyzer:
    def analyze_codebase(self, project_path):
        """
        Analyze error handling patterns in codebase
        """
        analysis = {
            'error_handling': self._analyze_error_handling(project_path),
            'logging_usage': self._analyze_logging(project_path),
            'monitoring_setup': self._check_monitoring_setup(project_path),
            'error_patterns': self._identify_error_patterns(project_path),
            'recommendations': []
        }
        
        self._generate_recommendations(analysis)
        return analysis
    
    def _analyze_error_handling(self, project_path):
        """Analyze error handling patterns"""
        patterns = {
            'try_catch_blocks': 0,
            'unhandled_promises': 0,
            'generic_catches': 0,
            'error_types': defaultdict(int),
            'error_reporting': []
        }
        
        for file_path in Path(project_path).rglob('*.{js,ts,py,java,go}'):
            content = file_path.read_text(errors='ignore')
            
            # JavaScript/TypeScript patterns
            if file_path.suffix in ['.js', '.ts']:
                patterns['try_catch_blocks'] += len(re.findall(r'try\s*{', content))
                patterns['generic_catches'] += len(re.findall(r'catch\s*\([^)]*\)\s*{\s*}', content))
                patterns['unhandled_promises'] += len(re.findall(r'\.then\([^)]+\)(?!\.catch)', content))
            
            # Python patterns
            elif file_path.suffix == '.py':
                try:
                    tree = ast.parse(content)
                    for node in ast.walk(tree):
                        if isinstance(node, ast.Try):
                            patterns['try_catch_blocks'] += 1
                            for handler in node.handlers:
                                if handler.type is None:
                                    patterns['generic_catches'] += 1
                except:
                    pass
        
        return patterns
    
    def _analyze_logging(self, project_path):
        """Analyze logging patterns"""
        logging_patterns = {
            'console_logs': 0,
            'structured_logging': False,
            'log_levels_used': set(),
            'logging_frameworks': []
        }
        
        # Check for logging frameworks
        package_files = ['package.json', 'requirements.txt', 'go.mod', 'pom.xml']
        for pkg_file in package_files:
            pkg_path = Path(project_path) / pkg_file
            if pkg_path.exists():
                content = pkg_path.read_text()
                if 'winston' in content or 'bunyan' in content:
                    logging_patterns['logging_frameworks'].append('winston/bunyan')
                if 'pino' in content:
                    logging_patterns['logging_frameworks'].append('pino')
                if 'logging' in content:
                    logging_patterns['logging_frameworks'].append('python-logging')
                if 'logrus' in content or 'zap' in content:
                    logging_patterns['logging_frameworks'].append('logrus/zap')
        
        return logging_patterns

2. Error Tracking Service Integration

Implement integrations with popular error tracking services:

Sentry Integration

javascript
// sentry-setup.js
import * as Sentry from "@sentry/node";
import { ProfilingIntegration } from "@sentry/profiling-node";

class SentryErrorTracker {
    constructor(config) {
        this.config = config;
        this.initialized = false;
    }
    
    initialize() {
        Sentry.init({
            dsn: this.config.dsn,
            environment: this.config.environment,
            release: this.config.release,
            
            // Performance Monitoring
            tracesSampleRate: this.config.tracesSampleRate || 0.1,
            profilesSampleRate: this.config.profilesSampleRate || 0.1,
            
            // Integrations
            integrations: [
                // HTTP integration
                new Sentry.Integrations.Http({ tracing: true }),
                
                // Express integration
                
// source originale publique
wshobson/commands
/tools/error-trace.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/error-trace.md" "https://raw.githubusercontent.com/wshobson/commands/main/tools/error-trace.md"
Ensuite dans Claude Code, tapez /error-trace pour l'activer.
open_in_newVoir la source originale
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// informations
Créateurwshobson
Étoiles 2.6k
Mis à jour12 octobre 2025
Format.md
AccèsGratuit
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