# kpi-reporting

Generates executive scorecards, WBR and MBR updates, tracks pacing against targets, and highlights validated drivers.

- skill · `type=skill` · Codex, ChatGPT · 3 installs · ★ 7604
- Author: Data Analytics Maintainers · official OpenAI repository
- License: LicenseRef-Proprietary · policy=link-only · description only; the file stays with the author
- Source: https://github.com/openai/plugins/tree/HEAD/plugins/data-analytics/skills/kpi-reporting/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/kpi-reporting

## What it does

This skill structures operational reviews and recurring cadence updates like WBRs. It establishes metric boundaries and sets freshness cutoffs before drafting. Topline numbers are split into components. The breakdown focuses strictly on actionable slices like volume versus rate.

Inspection covers structured data catalogs and internal project documentation. If an authoritative data source is unavailable, execution stops immediately. The skill explicitly rejects weaker proxies and placeholder actuals. It leaves causal investigations to `$metric-diagnostics` rather than guessing unproven explanations.

## Install

### Codex (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill kpi-reporting -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/kpi-reporting/SKILL.md` — For all projects use ~/.agents/skills/

### Claude Code

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill kpi-reporting -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/kpi-reporting/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/kpi-reporting/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/kpi-reporting/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install openai/plugins kpi-reporting
```

2. **Manually: put the files in place**
- File: `.github/skills/kpi-reporting/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/openai/plugins --path plugins/data-analytics/skills/kpi-reporting
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/kpi-reporting/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/openai/plugins/tree/HEAD/plugins/data-analytics/skills/kpi-reporting/SKILL.md

## When to use it
- build executive WBR or MBR scorecards from production data
- decompose a headline KPI into volume, rate, or funnel drivers
- evaluate performance variance against pacing models and goals
- identify conflicting metric definitions across team docs and warehouses

## Example prompts
- Generate a WBR scorecard for active subscriptions compared against our quarterly plan.
- Prepare an MBR readout for checkout conversion and break down the validated drivers.
- Review last month's churn rate against target and highlight operational takeaways.

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From the same set: [openai/plugins](https://affpapa.org/en/nevibecode/by/openai/plugins.md) — 528 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md