88 skills · sorted by relevance
Query Prometheus metrics through Grafana and manage dashboards as JSON files. Use it to investigate current values and trends, add or adjust panels, and preview dashboard updates before applying them.
Design service monitoring with Prometheus, write PromQL queries to analyze metrics, and build Grafana dashboards. Configure actionable alerts and manage metric labels so monitoring stays useful as the volume of collected data grows.
Create monitoring dashboards for Grafana, SigNoz, and similar platforms. Choose metrics around operational questions, organize panels by purpose, and define clear titles, units, filters, and thresholds to help operators assess health and bottlenecks.
Design service monitoring dashboards and improve existing alert configurations. Generate Grafana dashboard files and documentation, analyze noisy or duplicate alerts and coverage gaps, and outline how metrics, logs, and request traces fit together.
Build Grafana dashboards that show application and infrastructure health through request rates, errors, response times, and resource usage. Organize metrics into useful panels, add filters and alerts, and manage dashboard definitions as code.
Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.
Design and build Axiom dashboards from logs or metrics, the numerical measurements of system behavior. Create charts, filters, and layouts for monitoring and reporting, or migrate existing Splunk and Grafana panels while validating queries against available data.
Export recorded AI usage costs and budgets as Prometheus metrics or JSON. Feed external dashboards with totals, model tier breakdowns, session costs, and budget utilization, or send the same data to a webhook endpoint.
Define service reliability measurements and targets, then turn them into Prometheus monitoring rules and alerts. Calculate error budgets, the amount of failure allowed, and outline Grafana dashboards for tracking reliability and deciding when to prioritize fixes.
Grafana 监控大盘设计评审技能。基于"如何定义好的监控大盘"最佳实践，对一个 Grafana 大盘的设计或现状进行评审，输出问题清单、改进建议与有效性评分（满分 10 分）。触发词："/grafana-dashboard-review" 或用户要求"评审/审视/打分一个 Grafana 监控大盘"。
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Work with a Grafana instance — search and read dashboards, run datasource queries (Prometheus, Loki, PostgreSQL, etc.), inspect alert rules and silences, post annotations, and manage folders. Use this whenever the user mentions a Grafana dashboard, panel, or alert; pastes a Grafana URL; asks "what does this dashboard show", "query this metric in Grafana", "is this alert firing", "silence this alert", or wants to create/export a dashboard — even if they don't say "API". Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
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Use when starting, stopping, or inspecting the dev stack for this Hydrolix Grafana datasource plugin — Grafana (with the plugin bind-mounted), ClickHouse, Keycloak (OAuth), and the on-demand playwright runner. Covers `docker compose up` semantics, the `dist/` prerequisite, serving plugin artifacts from an alternate folder (any path, live or frozen, via an ephemeral compose override), switching Grafana versions, hot-reload behaviour, delve attach, log streaming, OAuth/anonymous auth, and ClickHouse fixture access. Apply whenever a task needs the plugin running locally, needs to reset the stack, or needs to debug why Grafana won't come up.
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Query and manage Grafana dashboards and Prometheus metrics for Happy infrastructure. Covers grafanactl CLI usage, direct Prometheus queries through Grafana proxy, and dashboard-as-code workflows. Use when user asks about metrics, dashboards, monitoring, Grafana, Prometheus, or wants to add/modify panels.
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Use when building Grafana dashboards backed by Prometheus, Loki, or Tempo, designing PromQL/LogQL queries, wiring template variables, setting alert rules, building SLO dashboards, or maintaining dashboards as code. Triggers: rate() vs increase() confusion, irate vs rate, label_replace, recording rules, alerting rule expressions, multi-dimensional template variables, ad-hoc filters, dashboard JSON model, provisioning via Terraform/grafonnet, p99 / histogram_quantile usage. NOT for Datadog/New Relic dashboards (vendor-specific), Grafana plugin development, or Loki ingestion pipeline tuning.
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Guide setup for and verify a reviewed, read-only Grafana Observability profile and its activated capability packs. Use when a user asks to set up Grafana access, verify profile readiness, discover available infrastructure, APM, log, IoT or business KPI packs, or troubleshoot why a Grafana pack cannot run.
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Use when validating a packaged build of this Hydrolix Grafana datasource plugin against Grafana's official plugin-validator — the pre-release gate that catches missing metadata, unsigned/mis-signed archives, non-executable backend binaries, and packaging errors. Builds the plugin, zips `dist/` under the plugin ID, and runs `@grafana/plugin-validator` (npx, or docker as fallback). Apply for "validate the plugin", "is this zip release-ready", or before publishing / submitting a release artifact.
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Build incident response dashboards that bring affected systems, containment progress, indicators of compromise, and response timelines into one view. Help security teams coordinate active incidents and prepare operational reports and executive briefings.
Expert knowledge for Azure Managed Grafana development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring MCP/AI Foundry dashboards, Entra auth/RBAC, private endpoints, plugins, or Enterprise upgrades, and other Azure Managed Grafana related development tasks. Not for Azure Monitor (use azure-monitor), Azure App Service (use azure-app-service), Azure Virtual Machines (use azure-virtual-machines).
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Plan, implement, or review grafana dashboards work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests grafana dashboards work.
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Write unit and E2E tests for Grafana visualization panels and viz utilities to the conventions this repo expects. Use when adding, backfilling, or reviewing tests for panels (barchart, timeseries, table, xychart, heatmap, canvas, etc.), grafana-ui viz components (Table, uPlot, VizLegend, VizTooltip), or grafana-data viz utils; when a panel test only asserts "it rendered" or "it's defined"; when reviewing AI-generated panel tests for slop; or when a canvas/rendering test is flaky.
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Create production-ready Grafana dashboards with reusable panels, template variables, annotations, and provisioning for version-controlled dashboard deployment. Use when creating visual representations of Prometheus, Loki, or other data source metrics, building operational dashboards for SRE teams, migrating from manual dashboard creation to version-controlled provisioning, or establishing executive-level SLO compliance reporting.
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Use when working with Grafana — dashboards, Loki LogQL queries, alerting rules, monitoring panels — even when the user just says 'build me a dashboard' or 'query the logs' without naming Grafana.
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システムとアプリケーションメトリクスのリアルタイム可視化のための本番環境Grafanaダッシュボードを作成・管理します。モニタリングダッシュボードの構築、メトリクスの可視化、運用可観測性インターフェースの作成時に使用します。
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Use when writing, running, or debugging Playwright e2e tests in this Hydrolix Grafana datasource plugin. Covers the docker-compose `playwright` service invocation, locator patterns for Grafana's react-select / Monaco editor / panel chrome, state-dependent interactions in QueryEditor, and timeout/retry expectations. Apply whenever a task touches `tests/*.spec.ts`, `tests/helpers.ts`, the `playwright` service in `docker-compose.yaml`, or the test results under `test-results/`.
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