Loading...
Loading...
Found 718 Skills
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources. USE WHEN: Creating Grafana dashboards, configuring panels and visualizations, writing LogQL/TraceQL queries, setting up Grafana data sources, configuring dashboard variables and templates, building Grafana alerts. DO NOT USE: For writing PromQL queries (use /prometheus), for alerting rule strategy (use /prometheus), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: grafana, dashboard, panel, visualization, logql, traceql, loki, tempo, mimir, data source, annotation, variable, template, row, stat, graph, table, heatmap, gauge, bar chart, pie chart, time series, logs panel, traces panel, LGTM stack.
Set up comprehensive observability for Databricks with metrics, traces, and alerts. Use when implementing monitoring for Databricks jobs, setting up dashboards, or configuring alerting for pipeline health. Trigger with phrases like "databricks monitoring", "databricks metrics", "databricks observability", "monitor databricks", "databricks alerts", "databricks logging".
Implements conditional visibility for Home Assistant dashboard cards using state, numeric_state, screen, user, time, and/or conditions via Conditional Card wrapper and per-card visibility property. Use when asked to "hide card when", "show only if", "user-specific dashboard", "mobile vs desktop cards", "conditional visibility", or "show card based on state/time/user".
Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.
Grafana-to-Perses dashboard migration: export Grafana dashboards, convert with percli migrate, validate converted output, fix incompatibilities, deploy to Perses. Handles bulk migration with parallel processing. Use for "migrate grafana", "grafana to perses", "perses migrate", "convert grafana". Do NOT use for creating new dashboards from scratch (use perses-dashboard-create).
Qualtrics XM platform help — CX surveys (NPS/CSAT/CES), Employee Experience (EX) pulse surveys, Strategy & Research, Experience Agents AI, XM Directory, dashboards, REST API v3, MCP servers. Use when surveys aren't getting responses, dashboards won't show the right data, API calls return errors, you're setting up Qualtrics for the first time, confused by XM Directory contact management, need to export response data, comparing Qualtrics vs Medallia, or Qualtrics is too complex and you need guidance. Do NOT use for general NPS/CSAT strategy across tools (use /sales-customer-feedback) or product review collection like Trustpilot or G2 (use /sales-customer-reviews).
Tableau platform help — Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Prep, Tableau Pulse, Embedding API, REST API (v3.28, PAT/JWT auth, 300+ endpoints), MCP server, and Tableau+. Use when dashboards are slow with large datasets, LOD expressions or calculated fields aren't working, licensing costs are confusing or spiraling, Tableau won't connect to Salesforce or your data warehouse, embedded analytics aren't rendering, Tableau Prep flows keep failing, or you need help choosing Creator vs Explorer vs Viewer licenses. Do NOT use for general CRM config (use /sales-salesforce) or sales forecasting methodology (use /sales-forecast).
Implement Syncfusion Blazor Sparkline Charts for compact, inline trend visualizations in Blazor applications. Use this when creating mini charts, KPI indicators, dashboard sparklines, or word-sized data visualizations. This skill covers line, area, column, WinLoss, and pie sparklines, including data labels, markers, special points (high/low/negative), range bands, tooltips, and appearance customization. Ideal for dashboards, data tables with inline trends, email reports, and mobile data visualization scenarios requiring compact trend indicators.
Explain what an existing SigNoz dashboard shows in plain operational language — the panels, queries, variables, and what to watch for on each. Make sure to use this skill whenever the user asks "explain this dashboard", "what does my [X] dashboard show", "walk me through the panels", "what should I watch for on this dashboard", or "help me understand this dashboard", or otherwise asks for an interpretation of a dashboard's contents — even if they don't say "explain" explicitly. Also use it when someone is onboarding to a service and wants to understand what its existing observability looks like.
Use when designing animations for enterprise software, B2B platforms, admin dashboards, or corporate applications