executive-dashboard-generator
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
What this skill does
# Executive Dashboard Generator Turn raw data into executive-ready insights with visualizations and recommendations. ## Contents - `references/analysis-coverage.md` — supported data inputs and analysis types per domain (financial, sales/marketing, operations, customer). - `references/output-template.md` — the full Markdown dashboard template to populate. - `references/best-practices.md` — reporting principles, visualization do/don't, trigger phrases, example request. ## Workflow 1. Clarify business context and collect the data sources (files, Sheets links, query output). See `references/analysis-coverage.md` for accepted inputs and the analysis types to run per domain. 2. Discover the data: identify structure, date ranges, granularity, key metrics and dimensions, and any data quality issues. Map relationships across datasets. 3. Analyze: calculate period-over-period changes, identify trends and patterns, flag outliers and anomalies, run cohort analysis, and set benchmarks and targets. 4. Generate insights: synthesize findings into key messages, prioritize by business impact, connect each metric to a business outcome, and develop concrete action recommendations and risk/opportunity flags. 5. Choose visualizations: select chart types built for executive readability and maintain a clear visual hierarchy. See `references/best-practices.md` for the visualization do/don't list. 6. Assemble the report using the structure in `references/output-template.md`. Replace every placeholder with real values; never ship a template with bracketed placeholders left in. 7. Prioritize recommendations and include scenario planning and a risk assessment, then deliver the dashboard. Lead with insights over raw numbers, and answer "So what?" and "What should we do?" Apply the reporting principles in `references/best-practices.md`.
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.