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people-report

people-report

github.com/anthropicsData & databases33.6k2.7k installsUpdated 1d ago
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About people-report

people-report creates workforce analytics reports from HR data for teams examining headcount, retention, diversity, organizational health, or productivity. It accepts uploaded or pasted data and can retrieve live employee data when an HRIS connector is available.

Key features

  1. 01Create headcount, attrition, diversity, and org health reports
  2. 02Analyze retention, diversity, engagement, and productivity metrics
  3. 03Use uploaded or pasted data
  4. 04Pull live employee data through an HRIS connector
  5. 05Present findings in summaries and metric tables

Use cases

  1. 01Review headcount by team, location, or level
  2. 02Analyze attrition trends and retention risks
  3. 03Examine representation and promotion patterns
  4. 04Assess management spans, engagement, or revenue per employee

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill people-report

After installing, type/people-reportin Claude Code to confirm it loaded.

Details

From the project README

/people-report

If you see unfamiliar placeholders or need to check which tools are connected, see 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

## 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

Comments

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