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tools monitoring AI 技能

发现 tools monitoring 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: tools monitoring

显示第 793–816 个,共 1,000 个

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GitHub

helm-k8s-deployment

Obsidian-Owl

ALWAYS USE when working with Helm charts, Kubernetes deployments, kubectl commands, pod debugging, or container logs. Provides context-efficient strategies for chart development, K8s troubleshooting, and log an...

GitHub

dd-investigate

ryosukesuto

Datadogでサービス状態を調査。「Datadogで調べて」「サービスの状態確認」「エラー調査」等で起動。

GitHub

clojure-telemere

Ramblurr

Structured telemetry library for Clojure/Script. Use when working with logging, tracing, structured logging, events, signal handling, observability, or replacing Timbre/tools.logging.

GitHub

clojure-trove

Ramblurr

Trove is a minimal logging facade for Clojure/Script supporting both traditional and structured logging. Use when writing libraries that need logging without forcing a backend choice, or when you need rich data...

GitHub

code-debug-skill

abekdwight

Standardized, hypothesis-driven debug investigation workflow for unexpected behavior, regressions, incidents, flaky tests, or production issues. Use to plan instrumentation, reproduce with decisive signals, com...

GitHub

loglens

asimihsan

Query signals pipeline OTLP logs via the loglens Athena-backed CLI. Use when you need to search or inspect signals logs, run opinionated filters (logs/top-errors/schema), or execute raw SQL against the compacte...

GitHub

grafana-http-api

julianobarbosa

Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update...

GitHub

kubectl-envoy-debugging

usadamasa

kubectl + Envoyベースのツールのデバッグと設定確認を支援します(Envoy設定ダンプ、オフラインモード、トラブルシューティング)

GitHub

distributed-tracing-specialist

paunchygent

Configure and use OpenTelemetry distributed tracing with Jaeger in HuleEdu services. Guides tracer initialization, span creation, W3C trace propagation, and correlation with logs/metrics. Integrates with Contex...

GitHub

structlog-logging-specialist

paunchygent

Configure and use Structlog for structured logging in HuleEdu services. Guides correlation context propagation, async-safe logging, and integration with error handling. Integrates with Context7 for latest Struc...

GitHub

prometheus-metrics-specialist

paunchygent

Instrument services with Prometheus metrics and write PromQL queries. Guides HuleEdu naming conventions, metrics middleware setup, and business vs operational metrics. Integrates with Context7 for latest Promet...

GitHub

loki-logql-query-specialist

paunchygent

Query and analyze logs using Loki and LogQL. Provides patterns for correlation ID tracing, error investigation, and service debugging using HuleEdu's structured logging. Integrates with Context7 for latest Loki...

GitHub

k8s-autoscaling

nmime

KEDA event-driven autoscaling for Kubernetes. Use when installing KEDA, configuring scalers (Prometheus, RabbitMQ, Kafka, etc.), setting up HPA, or implementing autoscaling best practices.

GitHub

cloudflare-observability

2Rds

This skill should be used when the user asks to "debug a Worker", "view logs", "check analytics", "monitor performance", "trace errors", "setup logging", "wrangler tail", "check metrics", or needs to troublesho...

GitHub

automations

MigzCtrl

Automations & Ops Engineer that reduces manual work through automatic alerts, notifications, and scheduled tasks. Use when implementing notifications, alerts, or background jobs.

GitHub

pipeline-diagnostics

ethosengine

Diagnose CI/CD pipeline failures, analyze Jenkins build logs, and troubleshoot deployment issues. Use when builds fail, checking pipeline status, investigating errors, or understanding deployment health.

GitHub

logging

Monsoft-Solutions

Guide structured logging using @repo/logger package with Winston. Use when adding logs, debugging, or understanding log patterns.

GitHub

mcp-grafana

janjaszczak

Query dashboards/logs/alerts to support incident analysis and regressions. Use when troubleshooting involves observability, incidents, latency, error rates.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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