Dei Dashboard

---
name: dei-dashboard
description: Diversity, equity and inclusion dashboard: metric by department and period, value against target, group size and minimum-threshold flag. Use for DEI reporting. 
category: Document Processing
source: antigravity
tags: [xlsx, markdown, ai, agent, automation, workflow, template, document, spreadsheet, security]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/dei-dashboard
---


# DEI Dashboard

**What it is:** Diversity & inclusion.

## Overview

Works out the smallest useful **DEI Dashboard** setup for the business in front of it, then
builds it only when asked. The default output is a short recommendation, not a
spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on
request, from one field list so they cannot drift apart.

Layer: Layer 6: Engage. Fits: Scale stage. Table code: n/a.

## When to Use This Skill

- dei dashboard
- diversity reporting
- workforce diversity metrics
- inclusion tracker

Also use it when the user says "diversity & inclusion", or describes the same process happening in a
spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces
empty templates only - it never holds or processes real employee or customer data.

## How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

### Step 1 - Identify intent

Read the request and pick the intent before asking anything.

- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

> **Q:** Which stages of hiring do you want to look at?

### Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a
time, and stop as soon as the remaining answers would not change the output.

- **Scope** - Hiring, progression or both? / Which stages? / By department or overall?
- **Data** - What data exists today? / Voluntary self-ID? / Anonymised?
- **Baselines** - Compare against what? / External benchmark? / Internal target?
- **Current process** - Anything tracked now? / HRIS or a sheet? / Is it anonymised?
- **Outcome** - What do you need? / A metric set or a dashboard view?

Never invent an answer. If the user does not know, record it as unknown and carry on.

### Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless
they ask, and it never carries a value the user did not give.

```yaml
module: dei-dashboard
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Scope": null
  "Data": null
  "Baselines": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking
```

### Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

**Recommended approach:** Use voluntary, anonymised data and aggregate to groups large enough to protect people. Skip any breakdown that would identify someone.

**Why this one:** Diversity data is easy to collect and easy to misuse. Anonymity and minimum group size are conditions of doing it at all, not nice-to-haves.

**Workflow:** Voluntary data → Anonymised aggregation → Stage metrics → Review → Action

### Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the
requested artifacts. For machine-readable text, keep prose outside the data; for files,
provide a usable link. Report material validation failures or limitations separately.

**A selected Notion output is rendered by `notion-manual-import`, so route the
Notion step there.** When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
tool access and the target before writing. A user saying "connected" is not tool evidence.
Never ask for a Notion password or token.

For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the
text correctly. A CSV is not an `.xlsx` workbook; create `.xlsx` only when the user
requests a workbook.
A CSV carries no types, so after it, name the columns
that need a number, date or currency format applied.

```csv
Metric,Department,Period,Measure Type,Value,Tar