fireflies-observability
Set up comprehensive observability for Fireflies.ai integrations with metrics, traces, and alerts. Use when implementing monitoring for Fireflies.ai operations, setting up dashboards, or configuring alerting fo...
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Set up comprehensive observability for Fireflies.ai integrations with metrics, traces, and alerts. Use when implementing monitoring for Fireflies.ai operations, setting up dashboards, or configuring alerting fo...
This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk. It generates production-ready configurations and setup code based on specific requirements and infrastr...
This skill enables Claude to create intelligent alerting rules for proactive performance monitoring. It is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". T...
This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thres...
Set up comprehensive observability for Windsurf integrations with metrics, traces, and alerts. Use when implementing monitoring for Windsurf operations, setting up dashboards, or configuring alerting for Windsu...
Set up comprehensive observability for PostHog integrations with metrics, traces, and alerts. Use when implementing monitoring for PostHog operations, setting up dashboards, or configuring alerting for PostHog...
Set up comprehensive observability for Deepgram integrations with metrics, traces, and alerts. Use when implementing monitoring for Deepgram operations, setting up dashboards, or configuring alerting for Deepgr...
This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thres...
Monitor and log API requests with correlation IDs, performance metrics, and security audit trails. Use when auditing API requests and responses. Trigger with phrases like "log API requests", "add API logging",...
Set up comprehensive observability for Ideogram integrations with metrics, traces, and alerts. Use when implementing monitoring for Ideogram operations, setting up dashboards, or configuring alerting for Ideogr...
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/t...
Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.
Hera log detail query toolkit for querying log details by spaceId, storeId, tailName and time range. Use this when you need to query Hera log information programmatically.
帮助我根据prometheus指标查询服务问题
Fetch and analyze Sentry issues, events, transactions, and logs. Helps agents debug errors, find root causes, and understand what happened at specific times.
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshoo...
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
Prometheus-compatible metrics collection with counters, gauges, and histograms. Export metrics for dashboards and alerts with proper labeling.
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
Heartbeat-based health monitoring for background workers with configurable thresholds, rolling duration windows, failure rate calculation, and stuck job detection.
Daily compression of time-series data with merge logic for multiple pipeline runs, structured aggregation for dashboards, and storage estimation for capacity planning.
Structured JSON logging with correlation IDs, request context propagation across async boundaries, performance timing decorators, and worker metrics collection.
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
Run MassGen experiments and analyze logs using automation mode, logfire tracing, and SQL queries. Use this skill for performance analysis, debugging agent behavior, evaluating coordination patterns, and improvi...
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.