--- name: grafana-fbfd67d5634b description: > Query Grafana dashboards and Prometheus metrics for service health, LLM latency, and infrastructure monitoring. Use this skill when the user asks about service health, monitoring, alerts, or performance metrics. --- # Grafana Integration ## Connection - **Base URL**: `$GRAFANA_URL` (e.g. `https://your-org.grafana.net`) - **Auth**: `Authorization: Bearer $GRAFANA_API_TOKEN` (service account token) - **Credentials**: `GRAFANA_URL`, `GRAFANA_API_TOKEN` from Settings → Data sources - **Caching**: 10-minute cache for metadata; query results are NOT cached (time-sensitive) - **Key datasource**: Prometheus UID `grafanacloud-prom` ## Server Lib & API Routes - **File**: `server/lib/grafana.ts` ### Exported Functions | Function | Description | | --------------------------------------------- | --------------------------------------- | | `listDashboards(query?)` | Search dashboards by query | | `getDashboard(uid)` | Full dashboard JSON with panels | | `getDatasources()` | List all datasources | | `getAlertRules()` | All alert rules (flattened from groups) | | `getAlertInstances()` | Currently firing alert instances | | `queryDatasource(uid, queries[], from?, to?)` | Proxy to Grafana's `/api/ds/query` | ### API Routes | Route | Description | | ------------------------------------ | ----------------------------------------- | | `GET /api/grafana/dashboards` | Search dashboards | | `GET /api/grafana/dashboard?uid=...` | Full dashboard JSON | | `GET /api/grafana/datasources` | List datasources | | `GET /api/grafana/alerts` | Alert rules and firing instances | | `POST /api/grafana/query` | Query datasource (Prometheus, Loki, etc.) | ### Agent Action Use `grafana` for agent-facing Grafana work. Do not call `/api/grafana/*` directly from the agent. | Mode | Args | Description | | ------------- | ---------------------------------------- | -------------------------------- | | `dashboards` | `search` | Search dashboards | | `dashboard` | `uid` | Full dashboard JSON | | `datasources` | | List datasources | | `alerts` | | Alert rules and firing instances | | `query` | `datasourceUid`, `queries`, `from`, `to` | Query a datasource | ### Dashboard - `/adhoc/engineering` — Engineering dashboard (mirrors a Grafana dashboard by UID) ## Grafana Response Frame Format ``` { results: { [refId]: { frames: [{ schema: { fields }, data: { values } }] } } } ``` - `values[0]` = timestamps (epoch ms), `values[1+]` = metric values - Series labels from `schema.fields[i].labels` (e.g. `{ model: "claude-3.5" }`) - Transform to Recharts: `{ time: number, [seriesName]: number }[]` ## Template Variables - `$CodegenMode` → default `quality-v4` - `$AIModel` → regex pattern, default `.*` (all) - `$environment` → `cloud` or `cloud-v2`, default `cloud` - Variables interpolated via string replace before querying ## Key Prometheus Metrics - **Codegen**: `vcpcodegen_completion_total`, `vcpcodegen_completion_latency_bucket`, `vcpcodegen_feedback_total`, `vcpcodegen_error_total` - **LLM**: `llm_completion_cost_total`, `llm_input_tokens_total`, `llm_output_tokens_total`, `llm_latency_bucket`, `llm_failures_total`, `llm_completions_total` - **Projects**: `projects_proposed_config_total`, `projects_status_total`, `projects_remote_machine_*`, `projects_start_duration_bucket` - **API/Runtime**: `api_request_total`, `with_span_duration_bucket`, `memory_heap_usage_percent_bucket` - **Fly.io**: `fly_endpoint_total`, `fly_machine_*` - **GitHub**: `builderbot_pr_created_total`, `builderbot_pr_closed_total` ## Key Patterns & Gotchas - `queryDatasource` constructs body with datasource UID in each query target; timestamps as string ms - `getAlertRules` flattens nested rule groups from unified alerting API - `getAlertInstances` handles both array and wrapped object response shapes - POST helper caches by default (fine for idempotent endpoints) but `queryDatasource` skips cache - Heatmap panels render as multi-series line/area (Recharts has no native heatmap; PromQL `histogram_quantile()` computes quantiles) ## Incident Investigation Pattern For production issues, query Grafana/Prometheus FIRST: 1. LLM latency by model (`llm_latency_bucket`) 2. Request rates (`api_request_total`) 3. Error rates (`llm_failures_total`) 4. Instance counts (via Cloud Monitoring) Then check Agent-Native Analytics Monitoring -> Errors for captured application issues, external Sentry when connected, and Cloud Logging for raw logs. --- Source attribution: BuilderIO Original project: https://github.com/BuilderIO/agent-native/blob/763b81ba55f5f32a69019f1a47dd9c2651b40ef9/templates/analytics/.builder/skills/grafana/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Builder.io, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: BuilderIO Original project: https://github.com/BuilderIO/agent-native/blob/763b81ba55f5f32a69019f1a47dd9c2651b40ef9/templates/analytics/.builder/skills/grafana/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering, Marketing, Product Management Roles: Data Analyst, DevOps / SRE, Growth Marketer, ML / AI Engineer, Product Manager Specialties: API, Backend Tools: Grafana, Prometheus Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 544011fe17a5a0a6048afbd472a250346e2599779bc13bbafb892f78ce5d1ed3