Loading...
Loading...
Found 799 Skills
Prometheus monitoring and alerting with PromQL. Use for metrics collection.
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, TypeScript, Python, React, Next.js, and Node.js.
Unified portfolio dashboard. Traffic, revenue, errors - all products at a glance. Weekly traction check in 2 minutes. Auto-invoke when: user asks about metrics, traction, analytics, revenue across products.
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript and Python.
PostgreSQL monitoring - metrics, alerting, observability
Runs metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values. Use when asked to query metrics, explore metric datasets, check metric values, or investigate OTel metrics data.
Token Metrics integration. Manage data, records, and automate workflows. Use when the user wants to interact with Token Metrics data.
Vendor-neutral skill to analyze API reliability metrics and summarize error budget burn with mitigation guidance.
Defines right metrics using North Star framework, AARRR, and leading vs lagging indicators. Use when choosing metrics, instrumenting products, creating dashboards, or distinguishing vanity metrics from actionable ones.
Query VictoriaMetrics metrics via curl. Use when running PromQL/MetricsQL queries, discovering metrics/labels, checking alerts and rules, inspecting TSDB status, exporting raw data, checking metric usage statistics, or debugging relabeling/downsampling/retention configs. Triggers on: metric queries, PromQL, MetricsQL, label discovery, series exploration, cardinality checks, alert status, recording rules, active/top queries, export data, metric statistics, relabel debug, downsampling debug, retention debug, flags.
Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure.