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Found 1,509 Skills
Expert-level monitoring and observability with Prometheus, Grafana, logging, and alerting
Monitors CockroachDB background job health by identifying failed, paused, and long-running jobs using SHOW JOBS and SHOW AUTOMATIC JOBS. Surfaces schema changes, backups/restores, automatic statistics collection, and SQL stats compaction jobs without DB Console access. Use when investigating schema change delays, failed backups, or automatic job issues.
Real-time monitoring and detection of adversarial attacks and model drift in production
When the user wants to build an SEO data analysis system, monitor indexing/traffic/keywords/backlinks, or set up benchmarks. Also use when the user mentions "SEO data analysis," "SEO monitoring," "article database," "traffic benchmark," "penalty recovery," "SEO work document," "SEO dashboard," "keyword tracking," "ranking monitoring," "indexing report," or "backlink monitoring."
Use when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results, evaluating activity success rates, or optimizing marketing spend allocation
Set up and run competitive intelligence monitoring. Discover competitors via user input, lookalike search, web research, or G2/review sites, then create an Extruct company table with research columns for blog, social media, news, key people, and business model tracking. Re-run columns to refresh monitoring data. Triggers on: "competitor monitoring", "track competitors", "competitive intelligence", "monitor competitors", "competitor analysis", "competitive landscape", "who are my competitors", "competitor tracking".
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Covers DSPy evaluation for ongoing monitoring, prediction logging, drift detection, and alerting.
Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
Configures automated infrastructure monitoring with mobile alerts (ntfy.sh and Home Assistant) and implements auto-recovery for common failures. Use when setting up monitoring, configuring mobile notifications, enabling auto-recovery, or troubleshooting alert delivery. Triggers on "setup monitoring", "configure alerts", "mobile notifications", "enable auto-recovery", "monitoring not working", or "not getting alerts". Works with ntfy.sh push notifications, Docker container health checks, Bash monitoring scripts, and optional Home Assistant automation integration.
Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".
Track buying signals like funding announcements, job postings, tech changes, and company news to identify sales-ready prospects