723건 · 관련도순
Configures PromQL-based Service Level Objective (SLO) alerting policies for Google Cloud resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.
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Analyzes SIEM alert pipelines for rule optimization, alert fatigue reduction, criticality scoring, asset-based prioritization, and correlation rule design using NIST CSF and detection engineering principles..
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Custom Notification Types for desktop/mobile push alerts from Flow or Apex: type creation, target channels, Messaging.CustomNotification invocation, recipient limits, bulk notification patterns. NOT for choosing channels, consent, or notification-fatigue policy — use admin/custom-notification-type-design. NOT for email alerts — use admin/email-templates-and-alerts. Trigger keywords: notiftype, notificationtypes directory, customNotifTypeName, customNotificationAction, setNotificationTypeId, targetPageRef, NotificationTypeConfig.
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Proactive monitoring of Aave V3 borrow positions with liquidation alerts. Queries user collateral, debt, and health factor across chains (Ethereum, Polygon, Arbitrum, etc.). Sends urgent alerts to Telegram/Discord/Slack when health factor drops below configurable thresholds (critical at 1.05, warning at 1.2). Use when you need continuous monitoring of Aave positions, want alerts before liquidation risk occurs, or need periodic summaries of your borrowing health.
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Use when working with Coralogix — coralogix observability platform for log analytics, metrics, tracing, security, and alerting. Covers log querying with DataPrime, metric exploration, alert management, parsing rules, and data usage insights. Use when searching Coralogix logs, investigating application errors, managing alert rules, or analyzing log ingestion patterns.
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Métricas, logs, traces, dashboards, alertas e SLO — Prometheus, Grafana, Loki, Tempo, Mimir, Zabbix, Alertmanager. Use quando o usuário disser "dashboard", "alerta", "métrica", "PromQL", "Grafana", "SLO", "golden signals", "não temos visibilidade", "monitoramento".
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Cryptocurrency market data and price alert monitoring tool based on CCXT. Supports multiple exchanges, real-time price tracking, and configurable price/volatility alerts. Use when the user needs to monitor crypto prices or set up trading alerts. Default exchange is Binance.
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Proactive monitoring of Aave V3 borrow positions with liquidation alerts. Queries user collateral, debt, and health factor across chains (Ethereum, Polygon, Arbitrum, etc.). Sends urgent alerts to Telegram/Discord/Slack when health factor drops below configurable thresholds (critical at 1.05, warning at 1.2). Use when you need continuous monitoring of Aave positions, want alerts before liquidation risk occurs, or need periodic summaries of your borrowing health.
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Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting. Use for "database monitoring", "performance alerts", "slow queries", or "DB metrics".
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Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems, creating SLO/SLI frameworks, running incident response, conducting post-mortems, or auditing system reliability. Covers all three pillars (logs/metrics/traces), alert design, dashboard architecture, on-call operations, chaos engineering, and cost optimization.
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gh CLI로 GitHub의 이슈 분류, PR 검토와 병합 가능 여부 확인, CI 실패 조사, 변경 이력을 포함한 릴리스 준비, 보안 경고 확인을 수행합니다.
전자 의무 기록의 진료 기록, 처방, 검사 결과 화면을 설계합니다. 약물 상호작용 경고, 변경 이력, 의료 현장에서 입력하기 쉬운 화면의 설계 지침을 정리합니다.
Automatically gathers the past 24 hours of activity from connected services into one morning dashboard, bringing together meetings, pending replies, tasks, and development updates in visual modules suited to each type of information.
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Browse World Monitor's curated news feeds by topic or language, with duplicate stories removed. Review headlines, sources, publication dates, threat labels, and alert flags, then summarize selected headlines or translate them through the connected tools.
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Check OmniRoute server health, component status, and live metrics from the command line. Filter alerts or watch a refreshing dashboard to see provider status and circuit breakers, which interrupt requests when failures occur.
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Monitor AI provider health, response times, usage quotas, and spending alerts in OmniRoute. Inspect circuit breakers, which temporarily block failing providers, and configure whether reaching a budget limit switches models, blocks requests, or issues warnings.
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Compare a saved repository audit with a fresh audit in one command. Receive a structured report showing structural similarity, with an alert and exit code when similarity falls below your chosen threshold.
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Detect and classify unusual readings from Cognitum Seed devices, including spikes, flatlines, and drift. Review anomaly scores, recommend quarantine for scores above 0.9, and save detected patterns for future reference.
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Benchmark security detection systems against 10 known vulnerabilities and nine harmless decoys. Compare four approaches, including an evolved champion, and receive structured JSON covering detection, false alarms, patch tests, reproduction, unsafe outputs, and overall pass or fail.
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Compare recorded agent spending with a project budget and receive alerts at four usage thresholds. Review remaining funds and recommended actions, or use the check to block agent launches when the budget is exhausted.
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Run four cost checks in parallel to assess budget limits, accelerating daily spending, unusual sessions, and projected budget exhaustion. Combine their results into one health status and exit code for automated CI workflows.
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Track production session spending over time by grouping costs into configurable time windows. Compare the latest window with earlier spending averages, display the increase, and optionally return a failure exit code when it exceeds a chosen percentage.
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Generate a spending report from recorded AI usage, with token counts and USD costs grouped by model, agent, and processing tier. Check budget utilization, remaining funds, and alerts for a selected period.
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Set up or review production error monitoring to capture unhandled errors, failed requests, and performance signals. Check event context, release labels, and alert routing so teams receive useful information when problems occur.
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