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What is Skippr Mentor?

Mentor by Skippr is an AI product refinement platform that helps teams review and improve digital products before they ship. The tool provides real-time critique on UX, accessibility, content, product strategy, and visual design from inside the browser. Users can paste a website URL, analyze the experience, and receive actionable feedback from AI product experts. Mentor includes several specialized agents, including a Head of Design, Product Manager, Product Designer, Content Strategist, and Accessibility Lead. The Head of Design can provide executive-level product direction, high-level strategy, multimodal review, voice interaction, and go/no-go decisions. The Product Manager evaluates goals, feature priorities, product alignment, and industry best practices. The Product Designer reviews UI/UX issues such as layout inconsistencies, usability problems, spacing, typography, visual hierarchy, imagery, and creative direction. The Content Strategist checks clarity, tone, persuasiveness, image fit, content effectiveness, marketing alignment, and SEO performance. The Accessibility Lead identifies potential barriers such as contrast issues, text sizing problems, weak visual hierarchy, and poor touch targets. Mentor can turn feedback into tickets through Linear and Jira, create online and PDF reports, and send product feedback to coding agents through MCP for Claude, Cursor, Copilot, and IDE-based workflows. By combining real-time AI critique, expert agents, accessibility review, content analysis, ticket creation, reports, and coding-agent integration, Mentor helps builders catch problems earlier and ship more polished products.

What is MentorClone?

MentorClone is an innovative online platform that harnesses AI to connect learners and professionals with mentors based on publicly available content such as videos, podcasts, and articles. By offering answers rooted in the mentor's own published materials, the platform provides direct links to relevant sources and video clips when needed. In cases where a question lacks a suitable answer, the system openly communicates this rather than providing ambiguous responses. Users can explore various public mentors, investigate topic-specific pages and timelines, save valuable insights, and craft customized mentor profiles utilizing accessible content. Furthermore, the system features a remote Model Context Protocol (MCP) server, enabling compatible AI clients like Claude Code and Cursor to interface with mentors through an API key. It’s crucial to emphasize that the public figures represented as mentors are not formally affiliated with MentorClone. This platform not only streamlines the mentorship experience but also allows users to enhance their educational journey by gaining tailored access to valuable knowledge from the mentors they admire. Ultimately, MentorClone fosters a unique learning environment that bridges the gap between expertise and those seeking guidance.

Media

Media

No images available

Integrations Supported

Model Context Protocol (MCP)
Figma
GitHub
Google Chrome
Jira
Linear
Skippr

Integrations Supported

Model Context Protocol (MCP)
Claude Code
Cursor

API Availability

API Availability

Has API

Pricing Information

$19 per month
Free Version

Pricing Information

$19/month
Starter is $19/month for 400 questions; Pro is $29/month for 1,200 questions; Max is $59/month for 4,000 questions. Annual billing costs ten monthly payments for twelve months. Questions reset monthly.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Skippr

Date Founded

2023

Company Location

United Kingdom

Company Website

www.skippr.ai/mentor

Company Facts

Organization Name

MentorClone

Company Location

Germany

Company Website

mentorclone.ai

Categories and Features

AI UX/UI Design Tools

Not specified

Categories and Features

AI Coaching

Not specified

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