menza-data-analystlisted

# Workflow When this skill triggers, follow these steps in order. ## Step 1 — Locate the CSV Check whether the user has provided a CSV path. - If a path is provided, confirm the file exists and has a header row. - If no path is provided, ask: "Please provide the path to your CSV file. See `resources/sales.csv` for a working example with columns: order_id, region, product, units, revenue, date." - The engine works with any CSV that has no quoted commas — simple comma-separated values only. ## Step 2 — Clarify the question Check whether the user has asked a question. - If a question is provided, confirm it maps to a supported pattern (see list below). - If no question is provided, ask what they want to know about the data. ## Step 3 — Run the analysis engine Execute from the skill root: ```bash node scripts/ask.mjs <path-to-csv> "<question>" ``` The engine exits 0 on success (including "unsupported" responses) and exits 1 only on file/input errors. Capture stdout. If the process exits non-zero, surface the stderr message. ## Step 4 — Present the answer The engine outputs a Markdown block containing: - The question (echoed) - The detected intent - The computed answer - A supporting table (for top-N and group-by questions) Present this output directly. For numeric answers, note the units (e.g. USD, count). ## Step 5 — Offer follow-up analysis After presenting the answer, offer one or two follow-up questions the user might ask based on the result. For example: - A