Learning & Course Building

Mentorship Program and Matching Designer

Design mentorship programs with goals, participant criteria, matching, onboarding, meeting structure, safeguards, feedback, and outcome measurement.

Last updated Jul 12, 2026
FreeClaudeChatGPT
TL;DR

Mentorship Program and Matching Designer is a free AI skill for learning & course building. Design mentorship programs with goals, participant criteria, matching, onboarding, meeting structure, safeguards, feedback, and outcome measurement. It works with Claude, ChatGPT and is ready to use out of the box.

Download Skill.md Package

About this skill

Design mentorship programs with goals, participant criteria, matching, onboarding, meeting structure, safeguards, feedback, and outcome measurement. It applies a structured professional workflow, keeps assumptions visible, and produces implementation-ready guidance with ownership, controls, edge cases, and validation.

What it does

The skill analyzes goals, users, evidence, workflows, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.

What is included

  • Program context
  • Participant and outcome model
  • Eligibility and recruitment
  • Matching criteria
  • Onboarding
  • Mentoring structure
  • Resources and support
  • Safeguards and escalation

How to use it

1. Download the mentorship-program-and-matching-designer-SKILL.md file
2. Upload it to your AI, operational, or project workspace
3. Provide the current process, users, goals, evidence, and constraints
4. Add ownership, approval, risk, and implementation requirements
5. Use the output for design, review, testing, and rollout

Examples

Example input
Create a six-month mentorship program connecting experienced startup builders with students developing early products.
Example output
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.

FAQ

What is this skill for?
It creates a professional mentorship program and matching designer deliverable.
Will it invent facts or results?
No. Missing evidence, assumptions, and unknowns are labeled clearly.
Can it improve an existing process?
Yes. It can audit the current process before redesigning it.
Does it include edge cases?
Yes. Exceptions, failures, escalation, and fallback behavior are included.
Can it assign ownership?
Yes. Roles, decision rights, and handoffs are made explicit.
How is this different from generic advice?
It produces a structured, testable, implementation-ready system.

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