PaperclipOrg
Claude Agent Skill · by Anthropics

People Report

Install People Report skill for Claude Code from anthropics/knowledge-work-plugins.

Install
Terminal · npx
$npx skills add https://github.com/obra/superpowers --skill brainstorming
Works with Paperclip

How People Report fits into a Paperclip company.

People Report drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
Explore pack
Source file
SKILL.md99 lines
Expand
---name: people-reportdescription: 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 answer2. Identify the right data (upload, paste, or pull from ~~HRIS)3. Analyze with appropriate statistical methods4. Present findings with context and caveats5. 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