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content media monitoring AI 技能

发现 content media 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: content media monitoring

显示第 553–576 个,共 1,025 个

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GitHub

feature-audit

schuettc

Runtime behavior auditing through systematic log injection. Use when user wants to understand what code is doing at runtime, debug complex flows, or audit a process.

GitHub

config-reader

cruzanstx

Read and manage daplug configuration from CLAUDE.md using blocks, with legacy fallback and migration support.

GitHub

observability-instrumentation

VilnaCRM-Org

Add business metrics using AWS EMF (Embedded Metric Format) to API endpoints. Focus on domain-specific metrics only - AWS AppRunner provides default SLO/SLA metrics. Use when implementing new endpoints, adding...

GitHub

prometheus-observer

kingdon

Observe and report on Prometheus installation state, active alerts, AlertManager configuration, and rule evaluation status. Trigger with /prometheus-status

GitHub

o11y-metrics-prometheus-ops

aRustyDev

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring...

GitHub

openmetadata-dq

aRustyDev

Configure and manage data quality tests, profiling, alerts, and incidents in OpenMetadata. Use when setting up quality tests, configuring profiler workflows, creating observability alerts, or triaging data qual...

GitHub

test-observability

adaptationio

Integrate Playwright tests with OpenTelemetry, Grafana, Prometheus, Loki, and Tempo. Use when debugging test failures across distributed systems, measuring test performance, creating test dashboards, or correla...

GitHub

claude-code-telemetry-enable

adaptationio

Enable and configure Claude Code OTEL telemetry for local or Railway observability stacks. Use when setting up Claude Code to send metrics, logs, and traces to observability backends.

GitHub

observability-alert-manager

adaptationio

Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.

GitHub

observability-analyzer

adaptationio

Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.

GitHub

railway-logs

adaptationio

Railway log access and analysis for debugging and monitoring. Covers build logs, deploy logs, runtime logs, HTTP logs, filtering, search, and external export. Use when viewing logs, debugging Railway deployment...

GitHub

enhanced-telemetry

adaptationio

Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OT...

GitHub

railway-observability

adaptationio

Railway.com built-in metrics, monitoring dashboards, alerting (Pro plan), and external OTEL integration with Grafana. Use when setting up monitoring, creating dashboards, configuring alerts, integrating Prometh...

GitHub

observability-control

adaptationio

Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.

GitHub

eks-observability

adaptationio

EKS observability with metrics, logging, and tracing. Use when setting up monitoring, configuring logging pipelines, implementing distributed tracing, building production dashboards, troubleshooting EKS issues,...

GitHub

observability-stack-setup

adaptationio

Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.

GitHub

spring-boot-observability

joaquimscosta

Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, custom metrics, distributed tracing, production endpoint exposure, or Kubernetes/Cloud Run probe...

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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