people-analytics-reporting

---
name: people-analytics-reporting
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>
license: Apache-2.0
metadata:
  author: Anthropic
  source: anthropics/knowledge-work-plugins/human-resources/skills/people-report
  source_url: https://github.com/anthropics/knowledge-work-plugins/blob/8f8779a1681ea2f8dc697a6b3063d5e3e7f7460c/human-resources/skills/people-report/SKILL.md
  upstream-commit: 8f8779a1681ea2f8dc697a6b3063d5e3e7f7460c
  original-name: people-report
  packaged-by: AutoGPT
  packaged-on: '2026-09-25'
---

> Packaging adaptation by AutoGPT, 2026-09-25. Original authorship and licence are retained. Changes are limited to the recorded name, metadata and local references; see ATTRIBUTION.md in this package.


# /people-report

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