# Report Generator

> Assemble recurring or one-off business reports - data, charts, narrative, and formatted output (PDF/DOCX/Markdown) - from multiple sources. Use for weekly/monthly reports and study deliverables.

- Skill: `navinspire-ia/report-generator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add navinspire-ia/report-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/navinspire-ia/report-generator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: Navinspire-ia (https://skillmd.com/u/navinspire-ia)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/navinspire-ia/report-generator

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# Report Generator

## Overview

A report = data + narrative + format. Automate the pipeline so the recurring version costs minutes, not days.

## Report anatomy

1. **Executive summary** - the 5 numbers and 3 messages a busy reader needs (written last)
2. **Sections** - per topic: chart/table + 2-4 sentences of interpretation ("so what", not "the chart shows")
3. **Appendix** - methodology, data sources + dates, detailed tables

## Pipeline

```
sources (CSV/API/DB/notes) → collect (exec/`database-explorer`)
  → compute (pandas, `spreadsheet-analyst`)
  → charts (matplotlib → PNG)
  → narrative (drafted per section)
  → render (`pdf-generator` HTML route / `docx-generator` / Markdown)
```

Keep the whole pipeline as a script + config in `reports/<name>/build/` so reruns are one command. The report is what you deliver; the pipeline is a build step the user only hears about when they ask for it.

## Workflow

1. Define with the user: audience, questions the report answers, sources, frequency, format.
2. Build the pipeline; hardcode nothing that changes per period (dates, paths → parameters).
3. First edition: validate numbers against sources manually; validate structure with the user.
4. Recurring: schedule via `cron`; each run regenerates data + charts, drafts fresh narrative on the new numbers, flags notable changes vs previous period.
5. Never ship silently - the narrative interpretation gets a human glance for sensitive reports.

## Chart discipline

- One message per chart, stated in the chart title ("CA +18% porté par le segment public")
- Same scales/colors across periods for comparability; label directly, avoid legend hunting

## Rules

- Every number traceable to a source and date; methodology in the appendix.
- Period-over-period comparison is mandatory - a number without reference is noise.
- Live KPI dashboards → `kpi-reporter`; this skill produces documents.