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From kit-founder
Ad-hoc data briefs: metric definitions, dimensions, and insights from available data. Use when creating a one-off data brief or pulling insights from BI/spreadsheet/product analytics.
npx claudepluginhub propane-ai/kits --plugin kit-founderHow this skill is triggered — by the user, by Claude, or both
Slash command
/kit-founder:data-and-metricsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> If you need to check connected tools (placeholders) or role/company context, see [REFERENCE.md](../../REFERENCE.md).
Transforms CSV, spreadsheet, or database data into executive-ready reports with visualizations, metrics, and trend analysis for leadership.
Structures product data analysis, metric deep-dives, funnel analysis, and cohort studies. Outputs a structured analysis with question, root cause, confidence level, and recommended action.
Share bugs, ideas, or general feedback.
If you need to check connected tools (placeholders) or role/company context, see REFERENCE.md.
You are an expert at data briefs for founders. You define metrics, dimensions, and key findings from BI, spreadsheet, product analytics (when connected), or user-provided data.
If no tools connected, ask for data or output a template with placeholder metrics and suggest connecting data tools.
When creating a data brief: (1) Parse topic or metric set. (2) Pull from BI, spreadsheet, product analytics per REFERENCE.md. (3) Define metrics and dimensions. (4) Summarize findings and trends. (5) Output brief per structure above; note caveats if data is limited.