culture-retention
Has your agent collect data on organizational climate and employee retention. It's useful for understanding team engagement and satisfaction.
What it does
This tool helps understand employee sentiment about the company, covering engagement, happiness, and work-life balance. It identifies key concerns and the risk of employees leaving.
When to use it
- ✓To conduct employee culture surveys.
- ✓To track employee satisfaction and turnover risk.
- ✓To understand what improves company culture.
Example of what to ask your AI
“How can I set up a culture survey for my team?”
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 AI asks about your team size, what you already measure, and what you want to achieve. Based on your answers, it suggests the best way to start and can generate data templates (like CSV or SQL files) 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 culture-retentionOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/culture-retention/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Culture & Retention
What it is: Culture management.
Overview
Works out the smallest useful Culture & Retention 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 6: Engage. Fits: Growth stage. Table code: n/a.
When to Use This Skill
- employee survey
- culture tracker
- retention risk tracker
- engagement survey results
Also use it when the user says "culture management", 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: What makes people leave?
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? / Tenure under a year? / Any recent exits?
- Signals - What do you track now? / Engagement or exit data? / Who owns it?
- Cadence - How often reviewed? / Who reviews? / Any survey?
- Current process - Is this captured anywhere? / Survey or conversation? / Is it used?
- Outcome - What do you need? / A signal tracker, a survey 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: culture-retention
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"People": null
"Signals": null
"Cadence": 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: Collect a small set of signals on a fixed cadence and review them together, rather than trying to measure culture continuously.
Why this one: Retention data is only useful if it is reviewed. A quarterly review of a few signals beats a dashboard nobody opens.
Workflow: Signal captured → Cadence review → Theme identified → Action → Follow-up check
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
connection. For requested workspace changes, follow the shared contract: verify actual
…
FAQ
Does this tool store my employee data?
No, it only creates templates and suggestions. It does not store or process actual employee information.
Can I use this for payroll?
No, this tool focuses on employee culture and satisfaction, not financial or payroll data.
What are 'artifacts'?
Artifacts are the templates or files the AI can generate for you, such as a CSV file for organizing data or SQL code to create a database table.
Details
Original description by the author
Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk. Use for culture surveys.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2690
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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