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Claude Skills by grafana
github.com/grafana52 skills8 installs174 views
- Admission ControlUse when the user asks to "write a validator", "add validation", "implement admission control", "write a mutating webhook", "add a mutation handler", "validate incoming resources", "implement admission logic", "add admission webhooks", "write ingress validation", or asks how to validate or mutate resources before they are persisted in a grafana-app-sdk app. Provides guidance on implementing validation and mutation admission handlers for grafana-app-sdk apps.Votes: 0GitHub stars: 268
- App Sdk ConceptsUse when: user asks to create a Grafana app, initialize a grafana-app-sdk project, set up a Grafana App Platform app, scaffold a new app, or asks about deployment modes (standalone operator, grafana/apps, frontend-only), how grafana-app-sdk works, or the overall development workflow. Provides foundational knowledge of the grafana-app-sdk CLI, project structure, deployment modes, and overall workflow.Votes: 0GitHub stars: 268
- Cue Kind DefinitionUse when working with CUE kind definitions, schemas, or versioning in grafana-app-sdk projects (app platform apps). This skill should be used when the user asks to "define a kind", "add a CUE kind", "write a kind schema", "create a CUE schema", "model a resource", "add a new resource type", "edit kinds/", "what is a kind in grafana-app-sdk", "add a version to a kind", or asks about CUE kind structure, versioning, schema fields, validation constraints, or the codegen configuration section. Pro...Votes: 0GitHub stars: 268
- Reconciler LogicUse when the user asks to "write a reconciler", "implement a reconciler", "add business logic", "handle resource changes", "process resource events", "implement the reconcile loop", "add async processing", "write a controller", "handle create/update/delete events", "use TypedReconciler", "use a Watcher", or asks how to respond to resource state changes in a grafana-app-sdk app. Provides guidance on implementing reconciler and watcher business logic for grafana-app-sdk apps.Votes: 0GitHub stars: 268
- Adaptive MetricsAdaptive Metrics analyses your Prometheus metrics usage and suggests aggregation rules that reduce series count without breaking any queries. Rules pre-aggregate high-cardinality metrics into lower-cardinality forms before storage. **How it works:** 1. Adaptive Metrics scans your metric usage (dashboards, alerts, recording rules) over a lookback window 2. It identifies labels that are never queried for a given metric 3. It generates aggregation rules that drop those labels, reducing series co...Votes: 0GitHub stars: 268
- AdminGrafana Cloud account management — organizations, stacks, RBAC, SSO/SAML/OAuth, service accounts, API keys, team management, billing, and cloud-level provisioning. Use when managing Grafana Cloud access, configuring SSO, setting up service accounts for CI/CD, assigning roles, managing multiple stacks or organizations, or provisioning cloud resources via API.Votes: 0GitHub stars: 268
- App ObservabilityGrafana Cloud Application Observability (APM), Frontend Observability (RUM/Faro), and AI Observability. Covers RED metrics (Rate/Error/Duration), service maps, span metrics from traces, Faro JavaScript/React SDK for browser instrumentation, session replay, AI/LLM model monitoring, and integration with traces/logs/profiles for full-stack correlation. Use when setting up APM, configuring frontend monitoring, analyzing service performance, or monitoring AI/LLM applications.Votes: 0GitHub stars: 268
- Assistant McpThe Grafana MCP server exposes Grafana Cloud capabilities as tools that AI agents can call via the Model Context Protocol. Once connected, agents can query metrics, search dashboards, manage alerts, investigate incidents, and interact with Fleet Management - all without leaving their coding environment. **Available transports:** - `stdio` - agent spawns the server as a subprocess (simplest, works everywhere) - `SSE` - server runs independently, agent connects via HTTP ---Votes: 0GitHub stars: 268
- Cloud IntegrationsGrafana Cloud Integrations connect cloud provider monitoring APIs to your Grafana stack without running your own exporters. Hosted exporters scrape cloud APIs on your behalf and push metrics to your Grafana Cloud stack. **Supported hosted exporters:** - **AWS CloudWatch** - all CloudWatch namespaces via YACE (Yet Another CloudWatch Exporter) - **Azure Monitor** - Azure resource metrics via the Azure Monitor API - **Confluent Cloud** - Kafka cluster metrics via the Confluent Metrics API - **Ge...Votes: 0GitHub stars: 268
- Cost ManagementGrafana Cloud cost management — usage monitoring, cost attribution by label, usage alerts, invoice management, and optimization strategies. Covers Adaptive Metrics (cardinality reduction), Adaptive Logs (log filtering), cost attribution labels, and the FOCUS-compliant billing application. Use when analyzing Grafana Cloud spending, setting up cost alerts, attributing costs to teams, reducing metric/log cardinality, or forecasting observability budgets.Votes: 0GitHub stars: 268
- Database ObservabilityGrafana Cloud Database Observability — query-level performance insights for MySQL and PostgreSQL. Covers setup with Grafana Alloy, query samples, visual explain plans, RED metrics, pg_stat_statements and Performance Schema integration, and correlation with application traces. Use when monitoring database performance, diagnosing slow queries, setting up database observability for MySQL or PostgreSQL (self-managed, RDS, Aurora, Azure, Cloud SQL), or correlating DB metrics with APM data.Votes: 0GitHub stars: 268
- Dpm FinderGrafana Professional Services tool for identifying which Prometheus metrics drive high Data Points per Minute (DPM). Analyzes metric-level DPM with per-label breakdown to help optimize Grafana Cloud costs. Use when the user asks about DPM analysis, high-cardinality metrics, metric cost optimization, finding noisy metrics, or running dpm-finder against a Grafana Cloud Prometheus endpoint.Votes: 0GitHub stars: 268
- Fleet ManagementFleet Management lets you author pipeline configurations once and distribute them to many Alloy collectors remotely via OpAMP. Collectors poll for updates and apply new configurations without a restart. **Key concepts:** - **Collector** - an Alloy agent instance, identified by a unique ID and set of attributes - **Pipeline** - a named Alloy configuration (YAML) stored in Fleet Management - **Matcher** - a label selector that maps a pipeline to matching collectors - **Attributes** - key/value ...Votes: 0GitHub stars: 268
- InfrastructureGrafana Cloud infrastructure monitoring — Kubernetes monitoring, cloud provider integrations (AWS, Azure, GCP), host and container monitoring, infrastructure dashboards, and collector setup. Use when setting up Kubernetes monitoring, connecting cloud provider metrics, configuring node exporter or cAdvisor, setting up infrastructure dashboards, or using the k8s-monitoring Helm chart.Votes: 0GitHub stars: 268
- Loki Label AnalyzerExpert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.Votes: 0GitHub stars: 268
- Ml AiGrafana Cloud AI and ML features — Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection), Sift (automated root cause analysis with 8 analysis types), Knowledge Graph (entity discovery and RCA Workbench), and the LLM Plugin (OpenAI/Anthropic/Azure integration). Use when setting up AI-powered alerting, using natural language to query metrics/logs, automating incident investigation, or integrating LLMs...Votes: 0GitHub stars: 268
- Oncall IrmGrafana OnCall and Incident Response Management (IRM) — alert routing, escalation chains, on-call schedules, Jinja2 routing templates, Slack/mobile notifications, integrations (Alertmanager, Grafana Alerting, webhooks, PagerDuty), and incident lifecycle management. Use when setting up on-call rotations, configuring escalation policies, routing alerts to the right team, declaring and managing incidents, integrating with Alertmanager or Grafana Alerting, or configuring Slack-based alert workflows.Votes: 0GitHub stars: 268
- Private ConnectivityGrafana Cloud private network connectivity — AWS PrivateLink, Azure Private Link, and GCP Private Service Connect. Send telemetry (metrics, logs, traces, profiles) to Grafana Cloud without traversing the public internet. Eliminates cloud egress costs, meets compliance requirements (PCI-DSS, HIPAA). Use when setting up secure private telemetry ingestion from AWS/Azure/GCP, reducing egress costs, or meeting data residency/compliance requirements.Votes: 0GitHub stars: 268
- Prometheus Cardinality TroubleshooterDiagnostic guide for active Prometheus cardinality problems — slow queries, OOMing Prometheus, high Grafana Cloud Active Series or DPM bills, "too many samples" ingest errors, series churn, or rapid memory growth. Walks through tsdb status endpoints, per-metric and per-label drill-downs, common-culprit galleries, and remediation paths. Use when the user is *currently experiencing* a cardinality fire. For preventing cardinality issues at the source, route to prometheus-label-strategy. For post...Votes: 0GitHub stars: 268
- Prometheus Label StrategyExpert evaluator for Prometheus label strategy on Grafana Cloud. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, histogram bucket discipline, and instrumentation hygiene. Prevents high cardinality at the source — in application code and scrape target labels — without dropping labels that make series unique (which breaks the data). For reducing the cost of series already in Grafana Cloud, routes to the adaptive-me...Votes: 0GitHub stars: 268
- Send DataSending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.Votes: 0GitHub stars: 268
- TestingGrafana Cloud testing capabilities — Synthetic Monitoring (probing URLs, DNS, TCP, ping from multiple regions), k6 Cloud (managed load testing with distributed execution), and Frontend Observability (Faro, real user monitoring). Use when setting up uptime checks, external probes, configuring k6 cloud runs, monitoring frontend performance, or testing APIs from multiple locations.Votes: 0GitHub stars: 268
- Alerting IrmGrafana Alerting, Incident Response Management (IRM), and SLOs. Covers Grafana-managed and data source-managed alert rules, notification policies, contact points (Slack/PagerDuty/email/webhook), silences, muting, on-call scheduling, incident management workflows, and SLO configuration with burn-rate alerts. Use when configuring alerts, debugging notification routing, setting up on-call rotations, managing incidents, defining SLOs, or provisioning alerting via YAML/API.Votes: 0GitHub stars: 268
- AlloyGrafana Alloy OpenTelemetry collector and telemetry pipeline configuration. Covers the Alloy configuration language (blocks, attributes, expressions), components for collecting metrics/logs/traces/profiles, sending data to Grafana Cloud/Prometheus/Loki/Tempo, clustering, Fleet Management remote config, and building telemetry pipelines. Use when configuring Alloy, writing Alloy config files (.alloy), building data collection pipelines, setting up scraping, or troubleshooting Alloy deployments.Votes: 0GitHub stars: 268
- BeylaGrafana Beyla eBPF auto-instrumentation for application observability without code changes. Covers supported languages/runtimes, requirements, installation, configuration (discovery, eBPF settings, OTLP traces export, Prometheus metrics export), Kubernetes deployment, and integration with Grafana Cloud. Use when setting up zero-code instrumentation, configuring eBPF probes, deploying Beyla to Kubernetes, connecting to Tempo/Prometheus, or troubleshooting instrumentation issues.Votes: 0GitHub stars: 268
- DashboardingDashboards are JSON documents stored in Grafana. Every dashboard has panels, variables, time range, and refresh settings. Understanding the JSON schema lets you programmatically create and modify dashboards via the API or Grafana Assistant tools. ---Votes: 0GitHub stars: 268
- Grafana OssGrafana OSS core features — dashboards, panels, visualization types, data sources, template variables, alerting, annotations, provisioning, RBAC, service accounts, and configuration. Use when building dashboards, configuring data sources, setting up provisioning YAML, managing users and permissions, writing PromQL/LogQL/TraceQL in panels, or configuring Grafana server settings.Votes: 0GitHub stars: 268
- OpentelemetryOpenTelemetry with Grafana stack. Covers OTel SDK instrumentation for Go/Java/Python/Node.js/.NET, OTLP protocol and endpoint configuration, sending telemetry to Grafana Cloud via OTLP endpoint, Grafana Alloy as OTel collector, sampling strategies, Kubernetes OTel Operator, and migration from other observability tools. Use when instrumenting apps with OTel, configuring OTLP endpoints, setting up collectors, or migrating to OpenTelemetry.Votes: 0GitHub stars: 268
- PromqlPromQL is a functional query language for time series data. Every query returns either an **instant vector** (one value per label set at a point in time), a **range vector** (a sliding window of samples), or a **scalar**. **Golden rule:** `rate()` and `increase()` always require a range vector. The range must be at least 4x the scrape interval to avoid gaps. For a 60s scrape interval, use `[5m]` minimum. ---Votes: 0GitHub stars: 268
- Skill AuthoringAuthor, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + body + references/ + scripts/ + assets/), the "pushy description" trigger pattern, the three-level progressive-disclosure model, and the validate-fix-rerun feedback loop. Use when creating a new skill...Votes: 0GitHub stars: 268
- K6 DocsWrite or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog). Applies k6 doc style conventions, generates TypeScript type definitions, drafts release notes, and validates examples by running them against k6@master. Use when working on k6 documentation, the k6 changelog, the k6 release notes, k6 API reference, k6 TypeScript types, load testing docs, or when the user asks to write, edi...Votes: 0GitHub stars: 268
- K6k6 performance and load testing. Covers writing test scripts in JavaScript/TypeScript, all test types (load/stress/spike/soak/smoke/breakpoint), thresholds, checks, scenarios, executors, extensions, result analysis, k6 Cloud execution, and CI/CD integration. Use when writing k6 tests, debugging test failures, setting up load testing pipelines, choosing executors/scenarios, or interpreting k6 results.Votes: 0GitHub stars: 268
- LokiGrafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, line_format), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.Votes: 0GitHub stars: 268
- MimirGrafana Mimir scalable long-term metrics storage. Covers architecture (distributor/ingester/compactor/querier/ query-frontend/store-gateway/ruler), deployment modes (monolithic/microservices), configuration, Prometheus remote write, PromQL querying, multi-tenancy, compaction, and operations. Use when working with Mimir for metrics storage, scaling Prometheus, configuring Mimir clusters, writing PromQL, or debugging Mimir.Votes: 0GitHub stars: 268
- PrometheusPrometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.Votes: 0GitHub stars: 268
- PyroscopeGrafana Pyroscope continuous profiling platform. Covers instrumentation of Go/Java/Python/Ruby/Node.js/ .NET/Rust apps via SDKs or eBPF (Alloy), flame graph analysis, ProfileQL queries, server configuration and architecture, Grafana Cloud Profiles integration, and trace-profile linking (Span Profiles). Use when working with profiling data, instrumenting apps for Pyroscope, analyzing performance profiles, or deploying Pyroscope server.Votes: 0GitHub stars: 268
- TempoGrafana Tempo distributed tracing backend. Covers TraceQL query language (span selectors, attribute scopes, pipeline operators, structural operators, metrics functions), trace ingestion via OTLP/Jaeger/Zipkin, Tempo architecture (distributor/ingester/compactor/querier/metrics-generator), full configuration reference with YAML, metrics-from-traces (span metrics, service graphs, TraceQL metrics), deployment modes (monolithic/microservices/Helm/Kubernetes), multi-tenancy, performance tuning, cac...Votes: 0GitHub stars: 268
- Grafana ScenesBuild Grafana plugin pages using the @grafana/scenes framework. Use when creating new scene pages, adding panels/visualizations, setting up drilldown navigation, defining variables, configuring query runners, building table/timeseries/stat panels, or extending SceneObjectBase for custom scene objects. Triggers on any work involving SceneApp, SceneAppPage, EmbeddedScene, SceneQueryRunner, SceneDataTransformer, PanelBuilders, SceneFlexLayout, QueryVariable, or drilldown/tab configuration in Gra...Votes: 0GitHub stars: 268
- Plugin Bundle Size`module.js` is the render-blocking entry point for every Grafana app plugin. The smaller it is, the less impact the plugin has on Grafana's overall startup time. A well-split plugin should have a `module.js` under ~200 KB that contains nothing but lazy-loaded wrappers — all feature code loads on demand. **Target:** ~15–25 JS chunks total. Fewer means too little splitting; far more (50+) means over-engineering.Votes: 0GitHub stars: 268
- React 19 Plugin MigrationGrafana 13 (April 2026) moves from React 18 to React 19. Incompatible plugins will break. **Do not upgrade React to 19** — only make forward-compatible changes. All changes go in **one PR**. Execute steps in order. Never manually edit `yarn.lock`. ---Votes: 0GitHub stars: 268
- TemplateClear description of what this skill does and when to use it. Use when the user asks about X or wants to work with Y. Include specific trigger phrases so agents auto-load it correctly. Max 1024 characters.Votes: 0GitHub stars: 268
- Synthetic Monitoring ChecksAuthor Grafana Cloud Synthetic Monitoring checks, with deep coverage of k6 scripted and browser checks: SM's single-VU/single-iteration execution model, assertions that actually fail probe_success (expect() and fail() vs bare check()), secrets, deterministic scripts, robust browser locators, local validation with k6 run, deployment via UI/API/Terraform, verifying probe_success, and rollback. Also helps choose the simplest sufficient check type (HTTP/ping/DNS/TCP, MultiHTTP, scripted, browser)...Votes: 0GitHub stars: 268
- Datasources ProvisioningGenerate a copy-paste Grafana data source provisioning file (YAML or Terraform) for any plugin from its standardized settings schema on the plugins CDN. Use when the user wants to provision or configure a data source as code — e.g. "provision infinity", "datasource yaml for clickhouse", "terraform for the github datasource" — even when they only name the plugin and not the word "provisioning".Votes: 0GitHub stars: 268
- K6 Cloud Investigate TestInvestigate a Grafana Cloud k6 test — describe the script, list run history, identify pass/fail status, pull raw metric time-series and log lines for one or more runs, and (if asked) safely edit the test script. Use when the user asks about a specific k6 cloud test or run, gives a `/a/k6-app/tests/<id>` or `/a/k6-app/runs/<id>` URL, asks "is this test passing", "why are my k6 tests failing", "show me metrics for run X", "show me logs for run X", or wants to add thresholds / fix a failing test...Votes: 0GitHub stars: 268
- K6 ManageInteract with Grafana Cloud k6 (GCk6) — manage load tests, test runs, scripts, projects, schedules, env vars, fetch metrics or logs, and run scripts locally — using the `gcx` CLI (or direct curl when gcx is unavailable). Use this skill whenever the user mentions a k6 cloud test or run, asks to list/edit/create/start/abort k6 load tests, wants to fetch logs or metrics for a test run, manage k6 project limits or schedules, run a k6 script locally or via `k6 cloud run`, or needs to call any `/cl...Votes: 0GitHub stars: 268
- K6 Perf Test WebsiteUse when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6. Produces a hybrid (protocol + browser) test suite, SLO-backed thresholds, a load-generator monitor sidecar, and a Grafana-side investigation playbook for backends the user owns. Triggers on "perf test my site", "performance test my site", "load test this URL", "stress test my web app", "I want to load test [URL]", "set up k6 against my website", "write a k6 suite for [site]", "see if my...Votes: 0GitHub stars: 268
- K6 Test MaintenanceMaintain and improve existing k6 test scripts. Covers threshold tightening based on trend data, version migration between k6 releases, auto-fixing tests when the underlying service changes, refactoring for cleanliness, and auditing scripts against current best practices from docs. Use when the user asks to fix a failing k6 test, tighten thresholds, migrate a script to a new k6 version, refactor a test, update a script after a service change, or improve a script with best practices. Trigger on...Votes: 0GitHub stars: 268
- K6 Trend AnalysisAnalyze Grafana Cloud k6 test run trends over time. Detects slow metric drift (e.g., P95 latency creeping up while still passing thresholds), computes headroom to thresholds, flags anomalies, and recommends threshold tightening. Use when the user asks about test performance trends, wants to know if metrics are degrading, asks whether thresholds should be tightened, or wants a health check across recent runs for a specific test. Trigger on phrases like "how is my test trending", "is P95 gettin...Votes: 0GitHub stars: 268
- Profilecli InsightsQuery live Pyroscope profiles with profilecli, analyze them with pprof, and correlate hot functions with checked-out source code. Use when the user asks to investigate a service with a configured Pyroscope server, profilecli, and pprof.Votes: 0GitHub stars: 268
- Audit And Reduce DependenciesReduces JavaScript dependency footprint with pnpm while preserving lockfile, workspace layout, and dependency range style. Runs /check-npm first, then removes unused deps, dedupes versions, ranks transitive closure, and reports Keep/Replace/Remove triage. Use when cleaning up pnpm dependencies, reducing lockfile size, or shrinking node_modules in Grafana plugins; not for Go modules or full GitHub Actions workflow audits.Votes: 0GitHub stars: 268