Logging

Search logs via Loki API

Analyze Liza agents logs

Get TDVM event log

Parse and classify log entries with severity extraction

Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems

Parse and analyze log files to find errors, exceptions, and failures. Use when debugging build logs, application logs, or any large text file containing system output.

Observability patterns for EUCORA including Prometheus metrics, Grafana dashboards, alerting rules, and structured logging. Use when configuring monitoring, creating dashboards, or implementing metrics collection.

Observability for quality engineering: using logs, metrics, and traces as test signals; SLI/SLO quality gates; trace-based debugging of failures; and cost-aware instrumentation with OpenTelemetry.

Analyze the latest AutoDeploy pipeline or a user-specified pipeline ID, inspect failed job logs, group similar failures into actionable root-cause buckets, and create at most one PR per bucket. Use when the user mentions pipeline IDs, failed jobs, GitLab logs, failure buckets, or opening PRs from CI failures.

Production incident response procedures for Python/React applications. Use when responding to production outages, investigating error spikes, diagnosing performance degradation, or conducting post-mortems. Covers severity classification (SEV1-SEV4), incident commander role, communication templates, diagnostic commands for FastAPI/ PostgreSQL/Redis, rollback procedures, and blameless post-mortem process. Does NOT cover monitoring setup (use monitoring-setup) or deployment procedures (use deployment-pipeline).

Set up logging, metrics, distributed tracing, and alerting for GKE applications. Use when configuring Cloud Logging, creating dashboards in Cloud Monitoring, instrumenting Spring Boot with metrics, setting up alerts for error rates or resource usage, or implementing distributed tracing with Cloud Trace. Includes Prometheus integration, structured logging patterns, and observability best practices for microservices.

Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.

Query AWS CloudWatch logs for staging and production environments. Use for debugging errors, investigating incidents, or monitoring application behavior. PRIMARY - aws logs tail "/ecs/codel-staging" --follow --format short | grep -iE "error|exception"

OpenTelemetry, structured logging, distributed tracing, alerting, and dashboards

This skill provides comprehensive guidance for SAP Cloud Logging service on SAP BTP. Use when setting up Cloud Logging instances, configuring log ingestion from Cloud Foundry or Kyma runtimes, implementing OpenTelemetry observability, analyzing logs/metrics/traces in OpenSearch Dashboards, configuring SAML authentication, managing certificates, or troubleshooting ingestion issues. Covers service plans (dev/standard/large), all 4 instance creation methods (BTP Cockpit, CF CLI, BTP CLI, Service Operator), all 4 ingestion methods (Cloud Foundry, Kyma, OpenTelemetry, JSON API), and security best practices.

Implement observability for Evernote integrations. Use when setting up monitoring, logging, tracing, or alerting for Evernote applications. Trigger with phrases like "evernote monitoring", "evernote logging", "evernote metrics", "evernote observability".

Archives completed logs to cloud storage with index management and cleanup

Comprehensive guide for implementing Fullstory's Logging API (log method) for web applications. Teaches proper log level usage, message formatting, and capturing application logs in session replay. Includes detailed good/bad examples for error tracking, debugging, and operational monitoring to help developers add contextual log messages to Fullstory sessions.

Step-by-step guide for implementing comprehensive observability with structured logging, metrics, distributed tracing, and alerting using cloud-agnostic patterns.

Investigate GitHub security incidents using tamper-proof GitHub Archive data via BigQuery. Use when verifying repository activity claims, recovering deleted PRs/branches/tags/repos, attributing actions to actors, or reconstructing attack timelines. Provides immutable forensic evidence of all public GitHub events since 2011.

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.

Telemetry, metrics, tracing, and observability for Elixir/BEAM applications

Debug and trace MachinaMed medical agent errors in GKE environments. Use for investigating agent failures, tracing invocations, analyzing MALFORMED_FUNCTION_CALL errors, and generating comprehensive error reports from agent-trace.log files.

View Vercel deployment logs. Use when the user says "show logs", "check logs", "vercel logs", or "what went wrong with the deployment".

Monitor Hawk job status, view logs, and diagnose issues. Use when the user wants to check job progress, view error logs, debug a failing job, or generate a monitoring report for a Hawk evaluation run.

Standards for Micrometer, Distributed Tracing, and Structured Logging

Execute log analysis security operations. Auto-activating skill for Security Advanced. Triggers on: log analysis security, log analysis security Part of the Security Advanced skill category. Use when working with log analysis security functionality. Trigger with phrases like "log analysis security", "log security", "log".

Анализ логов Docker контейнера для диагностики проблем и мониторинга здоровья системы. Использовать при отладке ошибок, отслеживании процессов воркеров, исследовании проблем API или мониторинге поведения системы после тестов.

Review metrics, errors, logs, and database health for TV Streaming Availability Tracker. Provides observability, triage, debugging, and fixes. Use when checking app health, investigating issues, or monitoring system performance.

This skill enables Claude to monitor and analyze application error rates to improve reliability. It is used when the user needs to track and understand errors occurring in their application, including HTTP errors, application exceptions, database errors, external API errors, background job errors, and client-side errors. Use this skill when the user asks to "monitor errors", "analyze error rates", "track application errors", or requests help with "error monitoring". It sets up comprehensive error tracking and alerting based on defined thresholds.

Collect Perplexity debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Perplexity problems. Trigger with phrases like "perplexity debug", "perplexity support bundle", "collect perplexity logs", "perplexity diagnostic".

OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

Implement observability for Lindy AI integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Lindy operations. Trigger with phrases like "lindy monitoring", "lindy observability", "lindy metrics", "lindy logging", "lindy tracing".

Stream Devvit logs for an installed app (trigger phrases: "devvit logs", "stream logs", "check logs", "show logs"). Requires the user to provide the target subreddit.

Process forensics data collector operations. Auto-activating skill for Security Advanced. Triggers on: forensics data collector, forensics data collector Part of the Security Advanced skill category. Use when working with forensics data collector functionality. Trigger with phrases like "forensics data collector", "forensics collector", "forensics".

Collect Vast.ai debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Vast.ai problems. Trigger with phrases like "vastai debug", "vastai support bundle", "collect vastai logs", "vastai diagnostic".

This skill enables Claude to analyze logs for performance insights and issue detection. It is triggered when the user requests log analysis, performance troubleshooting, or debugging assistance. The skill identifies slow requests, error patterns, resource warnings, and other key performance indicators within log files. Use this skill when the user mentions "analyze logs", "performance issues", "error patterns in logs", "slow requests", or requests help with "log aggregation". It helps identify performance bottlenecks and improve application stability by analyzing log data.

Set up Customer.io monitoring and observability. Use when implementing metrics, logging, alerting, or dashboards for Customer.io integrations. Trigger with phrases like "customer.io monitoring", "customer.io metrics", "customer.io dashboard", "customer.io alerts".

Implement comprehensive observability for Gamma integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Gamma API usage. Trigger with phrases like "gamma monitoring", "gamma logging", "gamma metrics", "gamma observability", "gamma dashboard".

Implement monitoring, logging, and observability for Clerk authentication. Use when setting up monitoring, debugging auth issues in production, or implementing audit logging. Trigger with phrases like "clerk monitoring", "clerk logging", "clerk observability", "clerk metrics", "clerk audit log".

RFC-34 compliant structured logging standards for Java services. Covers JSON log format, structured arguments, required fields, and Logback configuration. Use when implementing or reviewing logging in Java services.

Collect Groq debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Groq problems. Trigger with phrases like "groq debug", "groq support bundle", "collect groq logs", "groq diagnostic".

Configure cloud logging sink setup operations. Auto-activating skill for GCP Skills. Triggers on: cloud logging sink setup, cloud logging sink setup Part of the GCP Skills skill category. Use when working with cloud logging sink setup functionality. Trigger with phrases like "cloud logging sink setup", "cloud setup", "cloud".

Fluentd Config Generator - Auto-activating skill for DevOps Advanced. Triggers on: fluentd config generator, fluentd config generator Part of the DevOps Advanced skill category.

Implement audit logging for OpenRouter compliance. Use when meeting regulatory requirements or security audits. Trigger with phrases like 'openrouter audit', 'openrouter compliance log', 'openrouter security log', 'audit trail'.

Execute collect Supabase debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Supabase problems. Trigger with phrases like "supabase debug", "supabase support bundle", "collect supabase logs", "supabase diagnostic".

Automate Splunk queries and analyze results using Chrome DevTools MCP. Use when the user wants to run Splunk searches, export log data, or analyze Splunk results. Triggers on requests like "check error rates", "search Splunk for X", "run a Splunk query", "analyze logs from Splunk", or "find errors in payment-service".

Extend OpenTelemetry instrumentation when new functionality is added to the MCP Gateway. Use when (1) new operations/functions are added, (2) reviewing code for missing instrumentation, (3) user requests otel/telemetry additions, or (4) working with state-changing operations. Analyzes git diff, suggests instrumentation points following project standards in docs/telemetry/README.md, implements with approval, writes tests, updates documentation, and verifies with debug logging and docker logs.

Guidance for configuring Nginx web servers with custom logging, rate limiting, and static content serving. This skill should be used when tasks involve setting up Nginx server blocks, configuring custom log formats, implementing rate limiting, or serving static files on specific ports.