Mentor by Skippr AI
AI Product Review, Right in Your Browser
580 followers
AI Product Review, Right in Your Browser
580 followers
AI agent that catches design, copy, and accessibility issues before you ship. Works on Localhost, Production, Figma, Lovable, Replit & more. Syncs with coding agents via MCP. Finesse reviews every screen against UX and product best practices, then gives you real-time feedback. See annotations directly on your UI, generate shareable reports with one click, or create tickets for Linear and Jira. Need deeper feedback? Talk to your AI design lead - the deepest product critique agent available.
QA automation for AI-powered products is becoming critical. Automated design + accessibility checks before shipping is huge.
Q: How does it handle custom design systems or company-specific UX patterns? Also integrating with CI/CD pipelines - any plans for that?
Love the execution! 🚀
Mentor by Skippr AI
@imraju Thanks! Great questions.
Custom design systems were actually part of Skippr's original story. We're exploring ways to bring this knowledge into Skippr Finesse.
CI/CD integration is definitely on our radar. We're exploring running Skippr as an async process in CI/CD pipelines to auto-review each PR, plus integrating with GitHub/GitLab/Bitbucket to pull codebase context and potentially push fixes or suggestions as PRs directly.
Are you looking for that full closed-loop workflow - review, find issues, suggest improvements, implement fixes, and open PRs automatically - or more of a PR review agent?
superfill.ai
How does Skippr scale with team size? Is it more useful for tiny teams or also mid-sized engineering orgs?
Mentor by Skippr AI
@mikr13 Great question! To be honest, it’s valuable for both—but in different ways. For small teams without a lead designer, UX, or accessibility expert, this can be the only quality control on UX and product issues before shipping.
For mid-sized teams, it can’t replace the final go/no-go decision by the Head of Design, PMs, or accessibility experts. However, it can significantly reduce rebuild cycles and shipping delays by preparing builders, engineers, and PMs ahead of the actual design review. Based on my estimation, it can save weeks of time.
Love the MCP integration idea — feedback loop straight into coding agents is smart. Does Skippr prioritize issues by severity, or does it dump everything at once? Curious how it avoids overwhelming Cursor/Claude with minor nitpicks vs critical UX blockers.
Mentor by Skippr AI
@andreiboldyrev Thanks! This point was critical when designing the service. We decided to start by giving you a short summary of the most important insights. From there, we surface up to 12 issues (though we often detect more) in the Issues tab, prioritized by severity. You can also reorganize them by topic.
This is our second iteration, and it’s still a work in progress. We also provide an online, shareable report where we have more flexibility. Importantly, through the chat you can ask the agent to elaborate on or explain any issue—so it’s not just a passive report.
Triforce Todos
This is such a real problem. Everyone talks about AI speeding up build time, but nobody talks about how slow review still is.
Mentor by Skippr AI
@abod_rehman Yeah, reducing product reworks is something we're looking to impact directly for teams.
Adjust Page Brightness - Smart Control
How does Skippr decide what feedback to give? Is it more rule-based or model-driven
Mentor by Skippr AI
Hey @kshitij_mishra4, it’s model-driven! There are no rigid rule trees under the hood, as those start to break when reviewing more complex products with nuanced UX flows. Skippr attempts to reason about the user flow, the clarity, the hierarchy, and the intent behind what you’re building across design, product, accessibility and content. It then gives feedback based on that understanding!
Great product! I’ve forwarded it to our designers.