employee-suggestion-hub – skill Khác cho agent AI

Employee Suggestion Hub

What it is: Feedback loop.

Overview

Works out the smallest useful Employee Suggestion Hub 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

• suggestion box
• employee feedback portal
• idea submission tracker
• staff suggestions

Also use it when the user says "feedback loop", 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 suggestions do you get in a month?

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.

• Submissions - How many people? / How many ideas a month? / Anonymous allowed?
• Process - Who triages? / Who responds? / SLA days?
• Follow-up - Are decisions shared? / Implemented ideas credited? / Closed or open?
• Current process - How do people share ideas now? / Form, chat or meeting? / What happens to them?
• Outcome - What do you need? / A submission form, a review queue 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: employee-suggestion-hub
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Submissions": null
  "Process": null
  "Follow-up": 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, triage, decide and respond. The response step is the one that determines whether people submit again.

Why this one: Suggestion schemes die from silence, not from a lack of ideas. Recording the response is what keeps submissions coming.

Workflow: Submitted → Triaged → Decided → Responded → Implemented or closed

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.

Suggestion Title,Submitted By,Anonymous,Department,Category,Description,Date Submitted,Votes,Reviewer,Decision,Response,Status,Suggestion ID
Add a second parking bay,Ananya Rao,FALSE,Delivery,Process,"Synthetic example idea routed to an assigned reviewer.",2026-01-15,14,Sneha Iyer,Approved,"Short, specific and actionable feedback only.",Under Review,

CREATE TABLE employee_suggestion_hub (
  suggestion_title VARCHAR(255),
  submitted_by VARCHAR(255),
  anonymous BOOLEAN NOT NULL,
  department VARCHAR(255),
  category VARCHAR(100) NOT NULL,
  description TEXT,
  date_submitted DATE NOT NULL,
  votes INTEGER NOT NULL CHECK (votes >= 0),
  reviewer VARCHAR(255),
  decision VARCHAR(255),
  response VARCHAR(255),
  status VARCHAR(100) NOT NULL,
  suggestion_id SERIAL PRIMARY KEY,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_employee_suggestion_hub_status ON employee_suggestion_hub (status);

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Employee Suggestion Hub",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Suggestion Title": { "type": "string" },
      "Submitted By": { "type": "string" },
      "Anonymous": { "type": "boolean" },
      "Department": { "type": "string" },
      "Category": { "type": "string" },
      "Description": { "type": "string" },
      "Date Submitted": { "type": "string", "format": "date" },
      "Votes": { "type": "integer", "minimum": 0 },
      "Reviewer": { "type": "string" },
      "Decision": { "type": "string" },
      "Response": { "type": "string" },
      "Status": { "type": "string" },
      "Suggestion ID": { "type": "integer" }
  },
  "required": [
      "Anonymous",
      "Category",
      "Date Submitted",
      "Votes",
      "Status"
  ]
}

| CSV column | Notion property | Set after import |
|---|---|---|
| Suggestion Title | Title | Use as the database title |
| Submitted By | Text | Leave as Text |
| Anonymous | Checkbox | Convert to Checkbox |
| Department | Text | Leave as Text |
| Category | Select (add options after import) | Convert to Select, add options: "Process", "Tooling", "Workload", "Culture", "Facilities" |
| Description | Text | Leave as Text |
| Date Submitted | Date | Convert to Date |
| Votes | Number | Convert to Number |
| Reviewer | Text | Leave as Text |
| Decision | Text | Leave as Text |
| Response | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Submitted", "Under Review", "Accepted", "In Progress", "Closed", "Declined" |
| Suggestion ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |

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

| # | Field | Type | SQL | JSON Schema | Notion | CSV example |

|---:|---|---|---|---|---|---|

| 1 | Suggestion Title | text | VARCHAR(255) | string | Text | Add a second parking bay |

| 2 | Submitted By | text | VARCHAR(255) | string | Text | Ananya Rao |

| 3 | Anonymous | checkbox | BOOLEAN | boolean | Checkbox | FALSE |

| 4 | Department | text | VARCHAR(255) | string | Text | Delivery |

| 5 | Category | select | VARCHAR(100) | string | Select (add options after import) | Process |

| 6 | Description | long_text | TEXT | string | Text | Synthetic example idea routed to an assigned reviewer. |

| 7 | Date Submitted | date | DATE | string, format: date | Date | 2026-01-15 |

| 8 | Votes | number | NUMERIC | number | Number | 14 |

| 9 | Reviewer | text | VARCHAR(255) | string | Text | Sneha Iyer |

| 10 | Decision | text | VARCHAR(255) | string | Text | Approved |

| 11 | Response | text | VARCHAR(255) | string | Text | `Short, specific and actionable feedback only.

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