Marketplace · skill · Small Business Ops

People Report

Pulls HR data into a headcount snapshot, an attrition trend by team, diversity numbers, or an org health view with span of control and flight risk.

Editor's rating 3.2/5 Headcount reporting that matters mostly to larger teams, but the instructions are short (405 words).

Credit: Anthropic, Knowledge Work Plugins (human-resources)

License: Apache-2.0 · License file

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This file is the upstream SKILL.md as of commit 33d3dea (Oct 22, 2026). Credit stays with Anthropic, Knowledge Work Plugins (human-resources). The license is Apache-2.0.

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---
name: people-report
description: Generate headcount, attrition, diversity, or org health reports. Use when pulling a headcount snapshot for leadership, analyzing turnover trends by team, preparing diversity representation metrics, or assessing span of control and flight risk across the org.
argument-hint: "<report type — headcount, attrition, diversity, org health>"
---

# /people-report

> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).

Generate people analytics reports from your HR data. Analyze workforce data to surface trends, risks, and opportunities.

## Usage

```
/people-report $ARGUMENTS
```

## Report Types

**Headcount**: Current org snapshot — by team, location, level, tenure
**Attrition**: Turnover analysis — voluntary/involuntary, by team, trends
**Diversity**: Representation metrics — by level, team, pipeline
**Org Health**: Span of control, management layers, team sizes, flight risk

## Key Metrics

### Retention
- Overall attrition rate (voluntary + involuntary)
- Regrettable attrition rate
- Average tenure
- Flight risk indicators

### Diversity
- Representation by level, team, and function
- Pipeline diversity (hiring funnel by demographic)
- Promotion rates by group
- Pay equity analysis

### Engagement
- Survey scores and trends
- eNPS (Employee Net Promoter Score)
- Participation rates
- Open-ended feedback themes

### Productivity
- Revenue per employee
- Span of control efficiency
- Time to productivity for new hires

## Approach

1. Understand what question they're trying to answer
2. Identify the right data (upload, paste, or pull from ~~HRIS)
3. Analyze with appropriate statistical methods
4. Present findings with context and caveats
5. Recommend specific actions based on data

## What I Need From You

Upload a CSV or describe your data. Helpful fields:
- Employee name/ID, department, team
- Title, level, location
- Start date, end date (if applicable)
- Manager, compensation (if relevant)
- Demographics (for diversity reports, if available)

## Output

```markdown
## People Report: [Type] — [Date]

### Executive Summary
[2-3 key takeaways]

### Key Metrics
| Metric | Value | Trend |
|--------|-------|-------|
| [Metric] | [Value] | [up/down/flat] |

### Detailed Analysis
[Charts, tables, and narrative for the specific report type]

### Recommendations
- [Data-driven recommendation]
- [Action item]

### Methodology
[How the numbers were calculated, any caveats]
```

## If Connectors Available

If **~~HRIS** is connected:
- Pull live employee data — headcount, tenure, department, level
- Generate reports without needing a CSV upload

If **~~chat** is connected:
- Offer to share the report summary in a relevant channel

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