Agent skill

Culture Retention

by sickn33 in sickn33/agentic-awesome-skills

Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk.

MITAuto-check passed

Install Culture Retention

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill culture-retention -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills culture-retention --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/culture-retention .claude/skills/culture-retention && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
culture-retention
GitHub stars
47k
Used in
1 other repo
Token cost
~3.8k tokens
SKILL.md length
1,419 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Culture surveys
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
  • Reaches json-schema.org

What it does

Culture Retention is an agent skill from sickn33/agentic-awesome-skills. Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk. Use for culture surveys.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Culture surveys

Example prompts

  • “/culture-retention”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, csv, sql, json and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • json-schema.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Culture Retention loads about 3.8k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 1,419 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 1,419 words, ~3,782 tokens.

Download SKILL.mdSave it as .claude/skills/culture-retention/SKILL.md (or your agent's skills folder).
name
culture-retention
description
Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk. Use for culture surveys.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, engage
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

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.

yaml
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 tool access and the target before writing. A user saying "connected" is not tool evidence. Never ask for a Notion password or token.

For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user requests a workbook. A CSV carries no types, so after it, name the columns that need a number, date or currency format applied.

csv
Survey Title,Action Plan,Anonymous,Culture ID,Department,Employee Name,Engagement Score,Growth Opportunity Score,Happiness Score,Key Concern,Manager Relationship Score,Notes,Responsible,Retention Risk,Status,Survey Date,Survey Type,Work-Life Balance Score
Q1 Engagement Pulse,Publish scores in March,FALSE,,Delivery,Aarav Sharma,4,3,4,Two seniors are on the same account at the same time.,4,"Survey closed in February; the anonymity threshold hid two teams, so it will run again.",Sneha Iyer,Low,Live,2026-03-31,Pulse,3
sql
CREATE TABLE culture_retention (
  survey_title VARCHAR(255),
  action_plan VARCHAR(255),
  anonymous BOOLEAN NOT NULL,
  culture_id SERIAL PRIMARY KEY,
  department VARCHAR(255),
  employee_name VARCHAR(255),
  engagement_score NUMERIC NOT NULL,
  growth_opportunity_score NUMERIC NOT NULL,
  happiness_score NUMERIC NOT NULL,
  key_concern VARCHAR(255),
  manager_relationship_score NUMERIC NOT NULL,
  notes TEXT,
  responsible VARCHAR(255),
  retention_risk VARCHAR(255),
  status VARCHAR(100) NOT NULL,
  survey_date DATE NOT NULL,
  survey_type VARCHAR(100) NOT NULL,
  work_life_balance_score NUMERIC NOT NULL,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_culture_retention_status ON culture_retention (status);
json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Culture & Retention",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Survey Title": { "type": "string" },
      "Action Plan": { "type": "string" },
      "Anonymous": { "type": "boolean" },
      "Culture ID": { "type": "integer" },
      "Department": { "type": "string" },
      "Employee Name": { "type": "string" },
      "Engagement Score": { "type": "number" },
      "Growth Opportunity Score": { "type": "number" },
      "Happiness Score": { "type": "number" },
      "Key Concern": { "type": "string" },
      "Manager Relationship Score": { "type": "number" },
      "Notes": { "type": "string" },
      "Responsible": { "type": "string" },
      "Retention Risk": { "type": "string" },
      "Status": { "type": "string" },
      "Survey Date": { "type": "string", "format": "date" },
      "Survey Type": { "type": "string" },
      "Work-Life Balance Score": { "type": "number" }
  },
  "required": [
      "Engagement Score",
      "Growth Opportunity Score",
      "Happiness Score",
      "Manager Relationship Score",
      "Status",
      "Survey Date",
      "Survey Type",
      "Work-Life Balance Score"
  ]
}
markdown
| CSV column | Notion property | Set after import |
|---|---|---|
| Survey Title | Title | Use as the database title |
| Action Plan | Text | Leave as Text |
| Anonymous | Checkbox | Convert to Checkbox |
| Culture ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Department | Text | Leave as Text |
| Employee Name | Text | Leave as Text |
| Engagement Score | Number | Convert to Number |
| Growth Opportunity Score | Number | Convert to Number |
| Happiness Score | Number | Convert to Number |
| Key Concern | Text | Leave as Text |
| Manager Relationship Score | Number | Convert to Number |
| Notes | Text | Leave as Text |
| Responsible | Text | Leave as Text |
| Retention Risk | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Draft", "Live", "Closed", "Archived" |
| Survey Date | Date | Convert to Date |
| Survey Type | Select (add options after import) | Convert to Select, add options: "Pulse", "Quarterly", "Half Yearly", "Annual", "Exit" |
| Work-Life Balance Score | Number | Convert to Number |

The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date, and anything pointing at another table stays relation.

Field Reference

#FieldTypeSQLJSON SchemaNotionCSV example
1Survey TitletextVARCHAR(255)stringTextQ1 Engagement Pulse
2Action PlantextVARCHAR(255)stringTextPublish scores in March
3AnonymouscheckboxBOOLEANbooleanCheckboxFALSE
4Culture IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
5DepartmenttextVARCHAR(255)stringTextDelivery
6Employee NametextVARCHAR(255)stringTextAarav Sharma
7Engagement ScorenumberNUMERICnumberNumber4
8Growth Opportunity ScorenumberNUMERICnumberNumber3
9Happiness ScorenumberNUMERICnumberNumber4
10Key ConcerntextVARCHAR(255)stringTextTwo seniors are on the same account at the same time.
11Manager Relationship ScorenumberNUMERICnumberNumber4
12Noteslong_textTEXTstringTextSurvey closed in February; the anonymity threshold hid two teams, so it will run again.
13ResponsibletextVARCHAR(255)stringTextSneha Iyer
14Retention RisktextVARCHAR(255)stringTextLow
15StatusselectVARCHAR(100)stringSelect (add options after import)Live
16Survey DatedateDATEstring, format: dateDate2026-03-31
17Survey TypeselectVARCHAR(100)stringSelect (add options after import)Pulse
18Work-Life Balance ScorenumberNUMERICnumberNumber3
Show full SKILL.md (494 more words)Show less

Select Options

Status

Draft | Live | Closed | Archived

Survey Type

Pulse | Quarterly | Half Yearly | Annual | Exit

Relations

Link fields: none

Examples

Prompt

We lost two people last quarter and did not notice the pattern until after.

Context first - one question per message, nothing already answered:

Q: How many people? A: Forty.

Q: What do you track? A: Exit reasons only.

Q: How often reviewed? A: Never.

Recommended next step - offered, not built:

Collect a small set of signals on a fixed cadence and review them together, rather than trying to measure culture continuously.

Workflow: Signal captured → Cadence review → Theme identified → Action → Follow-up check

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not predict attrition or run engagement surveys for you.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.
  • Module Catalog - find the relevant module, then read its skill.
  • @people-directory - the employee master record most modules link to.
  • @notification-reminder-hub - turns due dates in this module into reminders.

Reusable Prompt

I want to set up culture management for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/culture-retention of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Culture Retention next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Culture Retention compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Culture Retention this skillsickn33/agentic-awesome-skills47k1 repos~3.8kAutomated safety check: PassMIT
Employee Engagement Surveymohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
Designing Adversary Engagement With Mitre Engagemukul975/Anthropic-Cybersecurity-Skills34k—~3kAutomated safety check: PassApache-2.0
Retention EngagementRefoundAI/lenny-skills1.4k—~1.3kAutomated safety check: PassMIT
Growth Logaffaan-m/ECC277k1 repos~1.7kAutomated safety check: PassMIT
Creating SurveysPostHog/posthog40k—~1.6kAutomated safety check: PassCustom licence

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Questions about Culture Retention

What does Culture Retention do?

Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk. Culture Retention is an agent skill from sickn33/agentic-awesome-skills. Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk.

When should I use Culture Retention?

Culture Retention fits situations like: culture surveys.

How do I install Culture Retention in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill culture-retention -a claude-code`. Or copy the skill folder (skills/culture-retention in sickn33/agentic-awesome-skills) into .claude/skills/culture-retention in your project. Claude Code loads it when a task matches its description.

How do I install Culture Retention in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill culture-retention -a codex`. Or copy the skill folder (skills/culture-retention in sickn33/agentic-awesome-skills) into .agents/skills/culture-retention in your project. Codex loads it when a task matches its description.

Can I use Culture Retention in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill culture-retention -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/culture-retention, .gemini/skills/culture-retention, .github/skills/culture-retention and .opencode/skills/culture-retention in your project.

What does Culture Retention need to run?

SKILL.md names no scripts, command-line tools or credentials: Culture Retention is instructions for the agent only.

Does Culture Retention access the network?

SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Culture Retention safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Culture Retention use?

Culture Retention is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Culture Retention use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Culture Retention?

Skills that share tags, products or a category with Culture Retention: Employee Engagement Survey (mohitagw15856/pm-claude-skills, 1.4k stars), Designing Adversary Engagement With Mitre Engage (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Retention Engagement (RefoundAI/lenny-skills, 1.4k stars) and Growth Log (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Culture Retention?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.