Summary
Turns your CSV files, spreadsheets, and database dumps into executive reports with trend analysis, visualizations, and actionable recommendations. You get formatted tables with performance scorecards, period-over-period comparisons, and prioritized action items broken down by urgency. It handles financial metrics, sales pipelines, customer retention, and operational KPIs, then structures everything into a narrative that actually explains what's happening in the data. Useful when you need to transform raw numbers into something presentable for leadership or board meetings. The output format is opinionated but comprehensive, including root cause analysis and departmental scorecards. Saves you from manually building dashboards when you just need to tell a clear story with your data.
Install to Claude Code
npx -y skills add onewave-ai/claude-skills --skill executive-dashboard-generator --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
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Files
SKILL.mdView on GitHub
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
- Clarify business context and collect the data sources (files, Sheets links, query output). See
references/analysis-coverage.mdfor accepted inputs and the analysis types to run per domain. - Discover the data: identify structure, date ranges, granularity, key metrics and dimensions, and any data quality issues. Map relationships across datasets.
- Analyze: calculate period-over-period changes, identify trends and patterns, flag outliers and anomalies, run cohort analysis, and set benchmarks and targets.
- 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.
- Choose visualizations: select chart types built for executive readability and maintain a clear visual hierarchy. See
references/best-practices.mdfor the visualization do/don't list. - 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. - 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.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
