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People Report

  • 1 installs
  • 47 repo stars
  • Updated March 31, 2026
  • clawpod-app/awesome-openclaw-agent-packs

This is a copy of people-report by anthropics - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

people-report is a Claude Code skill for ai & agent building. It helps developers move faster with AI-assisted coding.

  • people-report
  • AI & Agent Building
  • AI-coding skill

People Report by the numbers

  • 1 all-time installs (skills.sh)
  • Data as of Jul 24, 2026 (Skillselion catalog sync)
npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill people-report

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Listed on Skillselion
Installs1
repo stars47
Last updatedMarch 31, 2026
Repositoryclawpod-app/awesome-openclaw-agent-packs

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

/people-report

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

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