culture-retention – skill Marketing & SEO cho agent AI

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

The default survey output omits employee identity and reports aggregate themes. The Anonymous checkbox is a declared collection mode, not proof of anonymity: agree minimum reporting group size, suppress small-group/intersection breakdowns and redact identifying free text. For an explicitly requested identifiable follow-up, use a separate restricted opt-in record with purpose, access and retention policy. Retention Risk is a documented human hypothesis, never an automatic prediction or employment decision. Define score scales and represent skipped/unknown scores as blank, not zero.

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.

Survey Title,Action Plan,Anonymous,Culture ID,Department,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,Review aggregated themes after close,FALSE,,Delivery,4,3,4,Two seniors are on the same account at the same time.,4,"Synthetic live-survey example; no published results or real risk assessment.",Sneha Iyer,Low,Live,2026-03-31,Pulse,3

CREATE TABLE culture_retention (
  survey_title VARCHAR(255),
  action_plan VARCHAR(255),
  anonymous BOOLEAN NOT NULL,
  culture_id SERIAL PRIMARY KEY,
  department VARCHAR(255),
    engagement_score NUMERIC,
  growth_opportunity_score NUMERIC,
  happiness_score NUMERIC,
  key_concern VARCHAR(255),
  manager_relationship_score NUMERIC,
  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,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_culture_retention_status ON culture_retention (status);

{
  "$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" },
      "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": [
      "Anonymous",
      "Status",
      "Survey Date",
      "Survey Type"
  ]
}

| 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 |
| 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.

… (nội dung đầy đủ có trong gói tải về)