GitHub
pipeline-diagnostics
Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks.
☆ 20Voir le skill
Skills IA content media monitoring
Découvrez les skills content media monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media monitoring
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Explorer
GitHub
pipeline-reporting
Pipeline report templates for weekly reviews, monthly analysis, and quality checklists.
☆ 20Voir le skill
GitHub
rust-tracing
Structured logging with tracing and tracing-subscriber
☆ 19Voir le skill
GitHub
trace-debugger
Debug performance issues and understand code flow using AILANG telemetry traces. Use when user asks to debug slow compilation, analyze benchmarks, find bottlenecks, investigate hangs, or understand system behav...
☆ 19Voir le skill
GitHub
grey-haven-incident-response
Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems...
☆ 19Voir le skill
GitHub
grey-haven-observability-monitoring
Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging produ...
☆ 19Voir le skill
GitHub
grey-haven-devops-troubleshooting
DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...
☆ 19Voir le skill
GitHub
grey-haven-deployment-cloudflare
Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.
☆ 19Voir le skill
GitHub
grey-haven-observability-engineering
Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance...
☆ 19Voir le skill
GitHub
observability
Implement observability solutions. Use when setting up monitoring, logging, or tracing. Covers OpenTelemetry, metrics, and alerting.
☆ 19Voir le skill
GitHub
observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastruc...
☆ 19Voir le skill
GitHub
devops-troubleshooter
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and...
☆ 19Voir le skill
GitHub
adding-new-metric
Guides systematic implementation of new sustainability metrics in OSS Sustain Guard using the plugin-based metric system. Use when adding metric functions to evaluate project health aspects like issue responsiv...
☆ 18Voir le skill
GitHub
sentry-setup-tracing
Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.
☆ 18Voir le skill
GitHub
sentry-setup-logging
Setup Sentry Logging in any project. Use when asked to add Sentry logs, enable structured logging, capture console logs, or integrate logging libraries (Pino, Winston, Loguru) with Sentry. Supports JavaScript,...
☆ 18Voir le skill
GitHub
sentry-setup-metrics
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript and Python.
☆ 18Voir le skill
GitHub
sentry-ruby-setup
Setup Sentry in Ruby apps. Use when asked to add Sentry to Ruby, install sentry-ruby gem, or configure error monitoring for Ruby applications or Rails.
☆ 18Voir le skill
GitHub
performance-opt
Analyze and optimize application performance including bundle size, render performance, and API response times. Use when investigating slow pages or optimizing production builds.
☆ 17Voir le skill
GitHub
error-tracking
Track errors with CloudWatch Logs, implement structured logging, and monitor application health. Use when debugging production issues, investigating errors, or improving observability.
☆ 17Voir le skill
GitHub
performance-profiling
Profile application performance, identify bottlenecks, and optimize slow operations. Use when investigating performance issues, optimizing response times, or improving resource usage.
☆ 17Voir le skill
GitHub
observability-architecture
LiteLLM-RS Observability Architecture. Covers Prometheus metrics, OpenTelemetry tracing, structured logging, health checks, and alerting integration.
☆ 17Voir le skill
GitHub
trace-resource-request
This skill should be used when tracing resource requests through the Maestro system to debug resource lifecycle issues, track request flow from client to agent and back, or troubleshoot failures in resource cre...
☆ 17Voir le skill
GitHub
agent-performance
Track and report agent invocation metrics including usage counts, success/failure rates, and completion times. Use for understanding which agents are utilized, identifying underused agents, and optimizing agent...
☆ 16Voir le skill
GitHub
logcli-logs
Query and analyze logs from Grafana Loki using logcli. Use when the user mentions Loki, Grafana logs, logcli, or LogQL. Triggers on phrases like "query loki", "loki logs", "grafana logs", "use logcli", "LogQL q...
☆ 16Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.