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mentorship-program

Organizes mentorship programs by tracking mentors, mentees, and sessions. It helps manage goals, progress, and schedules to ensure program success.

What it does

This tool helps organize internal mentorship programs. It allows you to register mentors, mentees, their goals, and track session progress.

When to use it

  • ✓When you want to set up a new mentorship program.
  • ✓To register and track mentor-mentee pairs.
  • ✓If you currently use a spreadsheet for managing mentorships and want a more organized system.

Example of what to ask your AI

“I want to organize our internal mentorship program. Can you help me set it up?”

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

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/mentorship-program/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/mentorship-program/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI will ask for details about the program, such as the number of participants and their goals. Based on your answers, it can generate templates like a CSV file or SQL code to help you start recording information.

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 mentorship-program

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/mentorship-program/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Mentorship Program

What it is: Internal mentoring.

Overview

Works out the smallest useful Mentorship Program 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 5: Develop. Fits: Scale stage. Table code: n/a.

When to Use This Skill

  • mentorship program
  • mentor matching
  • internal mentoring tracker
  • mentor mentee pairs

Also use it when the user says "internal mentoring", 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 people want to be mentored?

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 - Mentees and mentors? / How many pairs? / Same team or cross-team?
  • Programme - How long? / Session cadence? / Structured or informal?
  • Matching - How matched today? / By skill or interest? / Who approves?
  • Current process - Anything running now? / How tracked? / What failed before?
  • Outcome - What do you need? / Matching, session tracking or feedback?

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: mentorship-program
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "People": null
  "Programme": null
  "Matching": 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: Match on a stated goal rather than availability, and track only sessions and a closing rating.

Why this one: Mentorship fails when pairs are assigned by convenience and never meet. A stated goal for the mentee is what makes a pair worth recording.

Workflow: Mentee goal → Match → Sessions → Mid review → Close with rating

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 the AI store my employee data?

No, the AI only creates templates and examples. It does not store or process real employee or customer data.

Can I use this for payroll calculations?

No, this tool is solely for organizing mentorship programs and should not be used for financial or legal calculations.

What kind of information do I need to provide?

You'll need to provide the number of mentors and mentees, the program duration, how pairs will be matched, and the goals for each mentee.

Details

Original description by the author

Mentorship register: mentor and mentee pair, department, focus area, mentee goal, session counts, last and next session, overall rating, progress notes and status. Use for mentorship tracking.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3585
License
MIT
Updated
10/15/2026

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