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Found 802 Skills
Run ClickHouse queries for analytics, metrics analysis, and event data exploration. Use when you need to query ClickHouse directly, analyze metrics, check event tracking data, or test query performance. Read-only by default.
Write and edit AML/AQL code for Holistics models, datasets, dashboards, and metrics. Use this whenever the user wants to create or modify a model, dataset, dashboard page, AQL metric, or any file in an AMQL project.
Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics. Use this skill when the user needs to assess link profile health, identify toxic backlinks, or plan link building strategy — even if they say 'check my backlinks', 'link building', or 'domain authority analysis'.
Grafana 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.
Grafana 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.
Sending 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.
Influencer marketing strategy across platforms — creator discovery, audience vetting, campaign tracking, ROI measurement, outreach, gifting, and affiliate programs. Covers platform comparison (Modash, influData, Creator.co, Hypefy, LTK, Influencity, Meltwater, Skeepers, Heepsy, CreatorIQ, NeoReach, Afluencer, Collabstr, Cloutboost, House of Marketers, Famesters, inBeat, HypeAuditor, Aspire, Influencer Hero, InstaJet, Open Influence, Viral Nation, trendHERO, Upfluence, GRIN, PlutoBa), discovery workflow (search, filters, lookalikes, audience analysis), vetting framework (fake followers, engagement authenticity, audience demographics), campaign setup and tracking (EMV, ROAS, CPM, sales attribution), creator outreach (email templates, negotiation, rate cards), product gifting and seeding, influencer affiliate programs, and creator payments. Use when unsure which influencer platform to pick, can't find the right creators for your niche, worried about fake followers or inflated metrics, campaign results aren't being tracked properly, creators aren't responding to outreach, or influencer spend isn't showing ROI. Do NOT use for platform-specific config (use /sales-modash, /sales-infludata, /sales-creatorco, /sales-hypefy, /sales-ltk, /sales-influencity, /sales-meltwater, /sales-brandwatch, /sales-skeepers, /sales-heepsy, /sales-creatoriq, /sales-neoreach, /sales-afluencer, /sales-collabstr, /sales-cloutboost, /sales-houseofmarketers, /sales-famesters, /sales-inbeat, /sales-hypeauditor, /sales-aspire, /sales-influencer-hero, /sales-instajet, /sales-openinfluence, /sales-viralnation, /sales-trendhero, /sales-upfluence, /sales-grin, or /sales-plutoba), TikTok marketing strategy (use /sales-tiktok-marketing), gaming influencer marketing strategy (use /sales-gaming-marketing), ad campaign strategy (use /sales-retargeting), or email marketing to subscribers (use /sales-email-marketing).
Designs an A/B test or experiment with clear hypothesis, variants, success metrics, sample size, and duration. Use when planning experiments to validate product changes or test hypotheses.
Research YouTube channel summaries, audience comment samples, downloadable video records, and public videos using hosted collection capability. Use this when the user wants YouTube account research or public video metrics.
Auto-generates weekly KPI reports from multiple data sources including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.
Query GA4 reports (users, sessions, conversions, funnels, realtime), manage properties / data streams / key events / custom dimensions / audiences / access bindings, and send Measurement Protocol events via the `ga4` CLI. Use this skill whenever the user mentions GA4, Google Analytics, property IDs starting with `properties/`, tracking events, engagement or traffic metrics, attribution, conversions, key events, audiences, BigQuery links, access roles, or realtime users — even if they don't explicitly say "GA4". Do not use for Google Search Console (see google-search-console skill) or generic web analytics where the source isn't GA4 (ask first).
Diagnose surprising, negative, unstable, or ambiguous ML/AI experiment results and decide whether to debug implementation, rerun experiments, change metrics or baselines, revise the algorithm, narrow the paper claim, park, or kill a direction. Use this skill whenever results do not match expectations, a method fails, metrics conflict, seeds vary, baselines beat the method, plots look suspicious, or the user asks what to do next after experimental results.