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Employee suggestion register v1.0.0

Use this resource to track employee suggestions from proposal to response

New

  • 323 downloads
  • 106 likes
  • 232 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install employee-suggestion-register

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent works out the smallest useful register for collecting and tracking suggestions from your teams: submitter or anonymous flag, category, votes, reviewer, decision and response status. It produces CSV, SQL or JSON Schema files only on request.

Mostly picked by

Updated November 2, 2026

Card for the “Employee suggestion register” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: five-step method to scope the register
  • SKILL.md: field reference, select options and relations

Good fit for

  • You are launching an idea box for your teams
  • You want to respond to every employee suggestion

Not for

    Tags

    • suggestions
    • employees
    • feedback
    • ideas

    About

    You say

    “Create a suggestion register with votes and a required response for each idea.”

    Card for the “Employee suggestion register” skill

    Skill published by WHOISABHISHEKADHIKARI under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to track employee suggestions from proposal to response
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md14.1 KB

    Origin and licence

    Listed unmodified

    Author
    WHOISABHISHEKADHIKARI
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/employee-suggestion-hub
    Licence
    MIT

    Notice

    « employee-suggestion-hub » (WHOISABHISHEKADHIKARI, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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