mcpbeat Sign in

People Report Skill for Claude

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.

695 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
23273
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill people-report

The instruction itself

12 sections, as written by the author

/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

  • Understand what question they're trying to answer
  • Identify the right data (upload, paste, or pull from ~~HRIS)
  • Analyze with appropriate statistical methods
  • Present findings with context and caveats
  • 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

Other skills for the same job

different authors, same section of the catalogue
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens
Astropy
by christophacham
×3

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

16k tokens

How to use it

Copy the folder

Take anthropics/people-report from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.