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Found 1,511 Skills
Expert in setting up Sentry error tracking and Google Analytics for NestJS and Next.js applications. Use this skill when users need monitoring, error tracking, or analytics configuration.
When the user wants to monitor brand mentions, detect trademark infringement, or set up brand monitoring. Also use when the user mentions "brand monitoring," "brand watch," "trademark watch," "brand mentions," "impersonation detection," "counterfeit detection," or "brand abuse monitoring."
Monitors AI Gateway traffic, costs, latency, errors, and token usage by querying request traces via the spans query API.
Detecting whether agent iterations are converging toward a stable solution or hitting a ceiling. Covers convergence signals, ceiling detection, non-convergence diagnosis, test pass rate as a convergence metric, and forward progress tracking for large projects. Trigger phrases: "convergence", "is the agent converging", "ceiling detection", "when to stop iterating", "diminishing returns"
Watchman Monitoring integration. Manage data, records, and automate workflows. Use when the user wants to interact with Watchman Monitoring data.
Queries Huawei Cloud monitoring and enterprise project resources (CES/EPS). Covers alarm rules, alarm histories, alarm templates, dashboards, notification masks, resource groups, one-click alarms, and enterprise projects (list/detail/quotas/bound resources/migration records). No write operations. Use this skill when the user needs to check alarm status, view monitoring dashboards, query alarm rules, or manage enterprise project info. Triggers: 云监控, 告警, 告警规则, 告警历史, 仪表盘, 企业项目, CES, EPS, 告警模板, 资源分组, alarm, monitoring, alert.
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.
Set up systematic review monitoring across e-commerce platforms. Track new reviews, detect negative review spikes, monitor competitor reviews, and automate review response workflows.
Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
Design and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, defining SLOs, configuring error tracking, choosing what to alert on, designing on-call rotations, or fixing alert fatigue. Triggers on monitoring, alerts, uptime, SLO, SLA, error rate, on-call, pager, alert fatigue, observability, dashboards, what should we monitor. Also triggers when an incident reveals a gap in monitoring.
Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.