health-wellness
Lets your agent anonymously record people's well-being. It's useful for wellness programs, tracking stress and energy levels.
What it does
This system helps track employee wellbeing anonymously. It records information like wellbeing scores, stress and energy levels, and whether support or resources were offered.
When to use it
- ✓To start a company wellbeing program.
- ✓To periodically log employee wellbeing.
- ✓To collect anonymous feedback on mental health and energy.
Example of what to ask your AI
“I want to set up a wellbeing check-in 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
It collects basic data on how people are feeling, such as wellbeing scores and energy levels. The system is designed to be anonymous and focus on general trends, not individual data.
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 health-wellnessOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/health-wellness/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Health & Wellness
What it is: Wellbeing tracking.
Overview
Works out the smallest useful Health & Wellness 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: Scale stage. Table code: n/a.
When to Use This Skill
- employee wellbeing
- health check in tracker
- wellness survey
- mental health support log
Also use it when the user says "wellbeing tracking", 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: Is this for employees or a team?
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.
- Scope - Who is it for? / How many people? / Perks or programmes?
- Use - What is offered? / Optional or mandatory? / Any medical data?
- Privacy - Is it anonymous? / Who can see participation? / Any health details held?
- Current process - Anything offered now? / How is it communicated? / Is uptake tracked?
- Outcome - What do you need? / A benefits list, participation counts or both?
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: health-wellness
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Scope": null
"Use": null
"Privacy": 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: Track benefits and uptake only. Do not store any individual health information, since the benefit does not need it.
Why this one: Wellness programmes create risk the moment individual health data is held. Keep participation counts and leave the details out.
Workflow: Benefit offered → Uptake count → Anonymous feedback → Review
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 system store personal employee data?
No, the system is designed to be anonymous and does not store individual health information. It focuses on general trends and participation counts.
Can I use this for payroll or legal advice?
No, this tool is solely for wellbeing tracking. It is not for financial calculations, tax matters, or legal advice.
What kind of information does it collect?
It collects data like wellbeing scores, stress and energy levels, and whether support or resources were offered, all anonymously.
Details
Original description by the author
Wellbeing check-in register: anonymous flag, department, check-in date, wellbeing score, stress and energy levels, support and resource flags, confidentiality and status. Use for wellness programmes.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3186
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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