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For triaging what is actively paging in OnCall (alert groups, ack\u002Fsilence\u002Fresolve) use oncall-triage instead.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"grafana","Grafana","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fgrafana.jpg",[12,16,19],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":17,"slug":18,"type":15},"Alerting","alerting",{"name":9,"slug":8,"type":15},430,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fgcx","2026-07-12T07:43:39.959325",null,29,[],{"repoUrl":21,"stars":20,"forks":24,"topics":27,"description":28},[],"A CLI for managing Grafana Cloud resources. Optimized for agentic usage.","https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fgcx\u002Ftree\u002FHEAD\u002Fclaude-plugin\u002Fskills\u002Finvestigate-alert","---\nname: investigate-alert\ndescription: Investigate Grafana alerts to determine why they are firing, their scope, and impact. Use when the user asks about a specific alert, wants to understand alert behavior, or needs to diagnose why an alert is in a firing or pending state. Trigger on phrases like \"why is this alert firing\", \"investigate this alert\", \"what is this alert rule doing\", or a named alert rule. For triaging what is actively paging in OnCall (alert groups, ack\u002Fsilence\u002Fresolve) use oncall-triage instead.\n---\n\n# Grafana Alert Investigator\n\nInvestigate Grafana alerts by analyzing state, querying datasources, and identifying next steps. Be concise and direct - these are experienced operators who need actionable information, not hand-holding.\n\n## Core Principles\n\n1. Stop early for non-actionable scenarios (recording rules, healthy inactive alerts)\n2. Be concise - no fluff, no excessive formatting, no obvious advice\n3. Trust the user's expertise - no timelines, no patronizing suggestions\n4. Focus on actionable information\n\n## Prerequisites\n\nUser needs gcx installed with configured context and appropriate permissions. If gcx is not configured, use the setup-gcx skill first.\n\n## Investigation Workflow\n\n### Step 1: Verify Context and Locate Alert\n\nCheck context if needed (`gcx config view`). If multiple contexts exist and none specified, ask which to use.\n\n### Step 2: Get Alert Details and Check for Early Exit\n\nFetch the alert by listing all alerts and filtering by name. Replace `\u003CAlertName>` with the actual alert name:\n```bash\ngcx alert rules list -o json | jq -r '.[] | .rules[]? | select(.name == \"\u003CAlertName>\")'\n```\n\nServer-side filters (use instead of downloading all rules and filtering with jq):\n- `--state firing|pending|inactive` — filter by rule state\n- `--group \u003Cname>` — filter by group name\n- `--folder \u003Cuid>` — filter by folder UID\n\nFilter by name, state, cluster\u002Fenvironment as relevant. If multiple matches, list them and ask which to investigate.\nInform the user which context you're using.\n\nCheck the `type` field:\n- If `type: recording`: This is a recording rule, not an alerting rule. Report: \"This is a recording rule (pre-calculates metrics), not an alerting rule. It doesn't fire alerts. Current state: [state]. Want details on what it's recording?\" Stop here unless they ask for more.\n\nCheck the `state` field:\n- If `state: inactive` AND the alert's query looks healthy: Report: \"Alert is inactive. [Brief what it monitors]. Health: [health]. Last evaluated: [time]. Want to see historical trends?\" Stop here unless they ask for more.\n- If `state: firing` or `state: pending`: Continue with full investigation below.\n\n### Step 3: Full Investigation (Firing\u002FPending Alerts Only)\n\nYou should use the datasourceUID from the alert when you can.\n\nIf you need to query a different datasource (e.g., Loki for log correlation), resolve its UID first:\n```bash\ngcx datasources list --type loki\n```\nAnnotation URLs often reference datasources by name — always resolve to UID before querying.\n\nQuery the datasource. Use -o json to get the data for yourself. Use with a graph visualization for showing a summary to the user:\n\n```bash\n# Prometheus\ngcx metrics query -d \u003Cdatasource-uid> '\u003Cquery>' --from now-1h --to now --step 1m -o json\ngcx metrics query -d \u003Cdatasource-uid> '\u003Cquery>' --from now-1h --to now --step 1m -o graph\n\n# Loki\ngcx logs query -d \u003Cdatasource-uid> '\u003Cquery>' --from now-1h --to now -o json\ngcx logs query -d \u003Cdatasource-uid> '\u003Cquery>' --from now-1h --to now -o graph\n```\n\nAnalyze the results: What's the current value? Spike or gradual? When did it start?\n\n### Step 4: Surface Resources and Provide Analysis\n\nExtract from annotations:\n- Runbook URLs (if the URL is a GitHub URL and `gh` is available, fetch with `gh api`)\n- Dashboard links\n- Descriptions\n\nProvide concise analysis:\n- Where: cluster\u002Fenvironment from labels\n- What: affected system\u002Fservice\n- Trend: new spike vs ongoing\n- Likely causes: code changes, infrastructure, resource exhaustion\n- Customer impact: if relevant\n\nBased on the error class, suggest follow-up queries to the user:\n- **Connection errors**: Check endpoint availability (`up{job=\"...\"}`) and pod restart counts\n- **Latency spikes**: Check upstream service latency, database query duration metrics\n- **Error rate increase**: Break down by endpoint\u002Fhandler, correlate with recent deployments\n- **Resource exhaustion**: Check container CPU\u002Fmemory metrics and node capacity\n\nRecommend incident creation if there's customer impact.\n\nList specific next actions - queries to run, deployments to check, metrics to examine. If there are queries for logs or metrics you can run, then ask the user if they want you to run them. If infrastructure changes are a suspected cause, suggest to the user that you could investigate any infra-as-code repos, if they point you to them.\n\nIf the next suggested actions include looking at logs in any way, use gcx to do it.\n\n## Output Format\n\nFor recording rules or healthy inactive alerts (early exit):\n```\nThis is a [recording rule \u002F inactive alert]. [One sentence what it monitors]. State: [state]. Health: [health].\n\nWant to see more details?\n```\n\nFor firing\u002Fpending alerts (full investigation):\n```\nAlert: \u003Cname>\nState: firing [in \u003Ccluster\u002Fenv>]\nMonitors: \u003Cbrief what it checks>\n\n[Show graph visualization]\n\nCurrent value: \u003Cvalue>\nTrend: \u003Cspike\u002Fgradual\u002Fsustained>\n\nLikely causes:\n- \u003Ccause 1>\n- \u003Ccause 2>\n\nImpact: \u003Cwho\u002Fwhat affected>\n\nRunbook: \u003Clink>\nDashboard: \u003Clink>\n\nNext actions:\n- \u003Caction 1>\n- \u003Caction 2>\n\n[If customer impact:] Recommend creating an incident - \u003Cwhy>.\n```\n\nUse minimal formatting. Avoid excessive bold text. No timelines like \"within 24 hours\". Trust the user to prioritize.\n\n## Error Handling\n\n- If gcx fails, explain the error\n- If no alerts match, show similar names and ask for clarification\n- If datasource queries fail, note it and move on\n- Multiple alerts with same name: list them all with UIDs and states, ask which to investigate\n\n## Tips\n\n- Graph visualization is critical for understanding trends\n- Compare current values to baselines when relevant\n- Check labels and annotations for environment\u002Fcontext\n- Follow runbooks when available\n- Err toward recommending incident creation when customer impact is unclear\n\n## Reference\n\nFor alert JSON structure, query patterns by alert type, graph interpretation, and runbook fetching, see:\n- [`references\u002Falert-investigation-patterns.md`](references\u002Falert-investigation-patterns.md)\n",{"data":32,"body":33},{"name":4,"description":6},{"type":34,"children":35},"root",[36,45,51,58,83,89,94,100,107,121,127,140,220,225,262,267,280,303,313,369,375,380,385,418,423,428,786,791,797,802,836,841,869,874,926,931,936,941,947,952,962,967,976,981,987,1010,1016,1044,1050,1055,1071],{"type":37,"tag":38,"props":39,"children":41},"element","h1",{"id":40},"grafana-alert-investigator",[42],{"type":43,"value":44},"text","Grafana Alert Investigator",{"type":37,"tag":46,"props":47,"children":48},"p",{},[49],{"type":43,"value":50},"Investigate Grafana alerts by analyzing state, querying datasources, and identifying next steps. 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Use when the user wants to create a new Grafana dashboard, add panels, variables, or annotations to an existing dashboard, design dashboard panels, variables, queries, or layout, or make a material visual redesign. Triggers on \"create dashboard\", \"new dashboard\", \"build dashboard\", \"dashboard for \u003Cservice>\", \"add panels\", \"add variable\", \"add annotation\", \"improve this dashboard\", or \"iterate on a dashboard\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1144,1147,1150,1153],{"name":1145,"slug":1146,"type":15},"Dashboards","dashboards",{"name":1148,"slug":1149,"type":15},"Data Visualization","data-visualization",{"name":1151,"slug":1152,"type":15},"Design","design",{"name":9,"slug":8,"type":15},"2026-07-25T05:30:46.289717",{"slug":1156,"name":1156,"fn":1157,"description":1158,"org":1159,"tags":1160,"stars":20,"repoUrl":21,"updatedAt":1169},"debug-with-grafana","investigate application issues with Grafana","Structured workflow for investigating application problems with Grafana observability data (metrics, logs, traces) via gcx. Covers live firefighting AND retrospective incident analysis: incident triage, root-cause analysis, blast-radius checks (did an incident spill into other services), verifying whether a deployment or rollout triggered an incident, finding which service, endpoint, or path owns the most errors or slow requests, checking whether retries or queue backlogs piled up, and quantifying error or latency shares over a time window. Trigger on: \"my API is returning 500 errors\", \"latency is spiking\", \"investigate why requests are failing\", \"triage the incident\", \"blast radius\", \"root cause\", \"did the rollout cause it\", \"which endpoint owns the most 5xx\", \"did retries pile up\", or any request to analyse an earlier incident window using telemetry. For authoring dashboards use create-dashboard; for dashboard inventory use manage-dashboards.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1161,1164,1165,1168],{"name":1162,"slug":1163,"type":15},"Debugging","debugging",{"name":9,"slug":8,"type":15},{"name":1166,"slug":1167,"type":15},"Incident Response","incident-response",{"name":13,"slug":14,"type":15},"2026-07-18T05:11:10.445428",{"slug":1171,"name":1171,"fn":1172,"description":1173,"org":1174,"tags":1175,"stars":20,"repoUrl":21,"updatedAt":1182},"diagnose-entity-graph","diagnose Grafana Entity Graph issues","Diagnose Entity Graph problems: missing entities, missing edges, disconnected clusters, or filtering issues. Use when the user reports that Entity Graph doesn't look right, services are missing, edges aren't appearing, or environments can't be filtered. Triggers for: \"entity graph is empty\", \"services missing from entity graph\", \"no edges in entity graph\", \"disconnected services\", \"can't filter entity graph\", \"entity graph not working\", \"diagnose entity graph\", \"debug knowledge graph\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1176,1177,1178,1181],{"name":1162,"slug":1163,"type":15},{"name":9,"slug":8,"type":15},{"name":1179,"slug":1180,"type":15},"Graph Analysis","graph-analysis",{"name":13,"slug":14,"type":15},"2026-07-25T05:30:39.380934",24,{"items":1185,"total":1318},[1186,1203,1222,1242,1249,1257,1264,1271,1278,1285,1292,1306],{"slug":1187,"name":1187,"fn":1188,"description":1189,"org":1190,"tags":1191,"stars":1200,"repoUrl":1201,"updatedAt":1202},"faro-setup-web","instrument web apps with Grafana Faro","Instruments a web app with Grafana Faro Web SDK for frontend observability. Use when setting up error tracking, Web Vitals, session monitoring, or distributed tracing in a browser app.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1192,1195,1198,1199],{"name":1193,"slug":1194,"type":15},"Distributed Tracing","distributed-tracing",{"name":1196,"slug":1197,"type":15},"Frontend","frontend",{"name":1090,"slug":1091,"type":15},{"name":13,"slug":14,"type":15},1103,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Ffaro-web-sdk","2026-07-12T07:43:24.63314",{"slug":1204,"name":1204,"fn":1205,"description":1206,"org":1207,"tags":1208,"stars":1219,"repoUrl":1220,"updatedAt":1221},"configuring-yesoreyeram-infinity-datasource","configure Grafana Infinity data source","Configure the Infinity data source — base URL and allowed hosts, the authentication methods (basic, bearer token, API key, digest, OAuth passthrough, OAuth 2.0 client credentials\u002FJWT, Azure, Azure Blob, AWS), TLS, custom HTTP headers, network and security settings, the custom health check, and provisioning with a config file. Use when a user asks how to set up, configure, or change settings for the Infinity data source; how to authenticate to an API; how to allow hosts; how to provision it as YAML; or how to troubleshoot connection, authentication, or health-check issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1209,1212,1215,1218],{"name":1210,"slug":1211,"type":15},"API Development","api-development",{"name":1213,"slug":1214,"type":15},"Authentication","authentication",{"name":1216,"slug":1217,"type":15},"Configuration","configuration",{"name":9,"slug":8,"type":15},1056,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fgrafana-infinity-datasource","2026-07-12T07:43:25.939136",{"slug":1223,"name":1223,"fn":1224,"description":1225,"org":1226,"tags":1227,"stars":1219,"repoUrl":1220,"updatedAt":1241},"querying-yesoreyeram-infinity-datasource","query data with Infinity datasource","Build queries with the Infinity data source — the query types (JSON, CSV, TSV, XML, GraphQL, HTML, UQL, GROQ, Google Sheets, Series, Transformations), the parsers (Frontend\u002Fsimple, Backend JSONata, JQ, UQL, GROQ) and which support alerting, the sources (URL, Inline, Reference, Azure Blob, Random walk), output formats (table, timeseries, logs, trace, node graph, dataframe), root selector and columns, computed columns\u002Ffilters\u002Fsummarize, pagination, and template variables. Use when a user asks how to query Infinity; how to fetch JSON\u002FCSV\u002FXML\u002FGraphQL\u002FHTML from a URL or inline; how to select rows and columns; how to transform data with UQL\u002FGROQ\u002FJSONata\u002FJQ; how to make a query work with alerting; how to paginate; or how to use variables in a query.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1228,1231,1234,1235,1238],{"name":1229,"slug":1230,"type":15},"CSV","csv",{"name":1232,"slug":1233,"type":15},"Data Analysis","data-analysis",{"name":9,"slug":8,"type":15},{"name":1236,"slug":1237,"type":15},"GraphQL","graphql",{"name":1239,"slug":1240,"type":15},"JSON","json","2026-07-15T05:34:05.773947",{"slug":1080,"name":1080,"fn":1081,"description":1082,"org":1243,"tags":1244,"stars":20,"repoUrl":21,"updatedAt":1093},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1245,1246,1247,1248],{"name":1086,"slug":1087,"type":15},{"name":9,"slug":8,"type":15},{"name":1090,"slug":1091,"type":15},{"name":13,"slug":14,"type":15},{"slug":1095,"name":1095,"fn":1096,"description":1097,"org":1250,"tags":1251,"stars":20,"repoUrl":21,"updatedAt":1109},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1252,1253,1254,1255,1256],{"name":1086,"slug":1087,"type":15},{"name":9,"slug":8,"type":15},{"name":1103,"slug":1104,"type":15},{"name":1106,"slug":1107,"type":15},{"name":13,"slug":14,"type":15},{"slug":1111,"name":1111,"fn":1112,"description":1113,"org":1258,"tags":1259,"stars":20,"repoUrl":21,"updatedAt":1122},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1260,1261,1262,1263],{"name":1086,"slug":1087,"type":15},{"name":1118,"slug":1119,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"slug":1124,"name":1124,"fn":1125,"description":1126,"org":1265,"tags":1266,"stars":20,"repoUrl":21,"updatedAt":1137},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1267,1268,1269,1270],{"name":1086,"slug":1087,"type":15},{"name":9,"slug":8,"type":15},{"name":1132,"slug":1133,"type":15},{"name":1135,"slug":1136,"type":15},{"slug":1139,"name":1139,"fn":1140,"description":1141,"org":1272,"tags":1273,"stars":20,"repoUrl":21,"updatedAt":1154},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1274,1275,1276,1277],{"name":1145,"slug":1146,"type":15},{"name":1148,"slug":1149,"type":15},{"name":1151,"slug":1152,"type":15},{"name":9,"slug":8,"type":15},{"slug":1156,"name":1156,"fn":1157,"description":1158,"org":1279,"tags":1280,"stars":20,"repoUrl":21,"updatedAt":1169},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1281,1282,1283,1284],{"name":1162,"slug":1163,"type":15},{"name":9,"slug":8,"type":15},{"name":1166,"slug":1167,"type":15},{"name":13,"slug":14,"type":15},{"slug":1171,"name":1171,"fn":1172,"description":1173,"org":1286,"tags":1287,"stars":20,"repoUrl":21,"updatedAt":1182},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1288,1289,1290,1291],{"name":1162,"slug":1163,"type":15},{"name":9,"slug":8,"type":15},{"name":1179,"slug":1180,"type":15},{"name":13,"slug":14,"type":15},{"slug":162,"name":162,"fn":1293,"description":1294,"org":1295,"tags":1296,"stars":20,"repoUrl":21,"updatedAt":1305},"manage Grafana Cloud resources via gcx","Manages Grafana Cloud resources via the gcx CLI. Trigger when the user wants to inspect, create, update, delete, query, or automate any Grafana resource - dashboards, datasources, alerts, SLOs, synthetic checks, oncall, incidents, fleet, k6, knowledge graph, or adaptive telemetry.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1297,1300,1301,1302],{"name":1298,"slug":1299,"type":15},"CLI","cli",{"name":9,"slug":8,"type":15},{"name":1090,"slug":1091,"type":15},{"name":1303,"slug":1304,"type":15},"Operations","operations","2026-07-31T05:53:50.587304",{"slug":1307,"name":1307,"fn":1308,"description":1309,"org":1310,"tags":1311,"stars":20,"repoUrl":21,"updatedAt":1317},"gcx-demo","present gcx demo tours","Run a narrated, read-only demo tour of gcx for customer or colleague presentations. Showcases the breadth of gcx across every Grafana Cloud product area — resources, datasources, metrics, logs, traces, SLOs, alerts, synthetic monitoring, IRM, k6, fleet, and more. All commands are strictly read-only. Trigger when the user says \"demo gcx\", \"show off gcx\", \"customer demo\", \"gcx tour\", or \"\u002Fgcx-demo\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1312,1313,1314],{"name":1298,"slug":1299,"type":15},{"name":9,"slug":8,"type":15},{"name":1315,"slug":1316,"type":15},"Presentations","presentations","2026-07-25T05:30:45.282458",80]