people-directory
Organizes detailed employee information like name, job title, and hire dates. It's useful for managing personnel records and HR data.
What it does
This tool helps organize employee information for a company. It creates a master record with details like name, job title, department, and contact information.
When to use it
- ✓When you need to create a template for your employee list.
- ✓When organizing master people data.
- ✓To structure a staff database.
Example of what to ask your AI
“I want to set up an employee directory for my new company.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool figures out what you need, like how many employees you have and what data is important. Then, it suggests the best way to organize this information and can generate files like CSV or SQL if you ask.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill people-directoryOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/people-directory/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
People Directory
What it is: Employee master data.
Overview
Works out the smallest useful People Directory setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.
Layer: Layer 3: Onboard. Fits: Starter stage. Table code: n/a.
When to Use This Skill
- employee directory
- people directory template
- employee master data
- staff database
Also use it when the user says "employee master data", or describes the same process happening in a spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.
How It Works
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Step 1 - Identify intent
Read the request and pick the intent before asking anything.
- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
Q: How many people are in the company today?
Step 2 - Ask only what is missing
Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.
- People - How many people? / Full time, part time, contractors? / Any remote?
- Data - Store salary on it? / Store emergency contacts? / What is sensitive?
- Structure - Reporting lines? / Grades or bands? / Locations?
- Current process - Where is the list now? / HR system or spreadsheet? / How stale is it?
- Outcome - What do you need? / A directory, a master record or reporting?
Never invent an answer. If the user does not know, record it as unknown and carry on.
Step 3 - Hold the internal context
Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.
module: people-directory
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"People": null
"Data": null
"Structure": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth asking
Step 4 - Recommend the smallest workflow
If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: One person record per human, with the sensitive fields separated out. Most modules should link to it, not duplicate it.
Why this one: A people directory is the root record. If it is wrong, leave, assets, payroll and reviews are all wrong, so it is worth doing properly once.
Workflow: Joiner → Person record → Links to other modules → Change → Exit record
Step 5 - Build only on request
Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.
A selected Notion output is rendered by notion-manual-import, so route the
Notion step there. When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
…
FAQ
Does this tool store real employee data?
No, this tool only creates templates and structures. It does not store or process real employee or customer data.
Can I use this for payroll calculations?
No, this tool is only for organizing people information, not for financial or legal calculations.
What kind of files can I get?
You can request files like CSV (for spreadsheets), SQL (for databases), or JSON Schema (for developers).
Details
Original description by the author
Employee master record: name, employee id, department, job title, grade, manager, employment type, contact and emergency details, access role, start and end dates, status. Use for people records.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3812
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
architecture-decision-records
Has your agent record important project structure decisions. It helps to understand the reasoning behind choices and maintain a clear history of changes.
affaan-m/ECC
code-tour
Lets your agent create step-by-step code walkthroughs with exact file and line anchors. It's useful for project introductions, code explanations, or change reviews. Helps understand how a system works.
affaan-m/ECC
codebase-onboarding
Helps your agent analyze unfamiliar code and create an onboarding guide. It includes an architecture map, entry points, and conventions. Ideal for starting on a new project.
affaan-m/ECC