Finesse by Skippr AI - AI Product Refinement, Right in Your Browser
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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.
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Mentor by Skippr AI
Hey Product Hunt 👋 I'm Sagi, founder of Skippr.
AI has made building products faster than ever, but reviewing what it actually built is still painful. That's why we built Skippr Finesse. Skippr Finesse gives instant, expert feedback across Product Management, Product Design, Content, and Accessibility. Like having a full product team in one click. And with Live Mode chat, you can talk directly to specialists as you build, getting real-time guidance instead of static reports.
🧩 The blocker no one talks about
Plenty of tools automate coding, PRs, and deploys, but the product experience still gets left behind. Clean code doesn't guarantee clear UX, and tight engineering doesn't fix confusing flows or inaccessible interactions.
Skippr puts product fundamentals back in the loop, helping teams ship experiences users actually love.
⚙️ How it works
Open any page in your app.
Click the Skippr extension.
Get an expert-grade review instantly, or jump into Live Mode for real-time help.
And with MCP integration, tools like Cursor or Claude Code can automatically implement Skippr's feedback, closing the gap between review and execution.
MultiDrive
@sagi_shorrer1 Oh my God! Your promo video is absolutely stunning! I don’t know who came up with the idea of using animals, but it looks amazing! Congratulations on your launch!
@ziad_al_ziadi and the team reached out to me recently, and honestly, I see massive potential here. Every product needs this kind of automated QA for design and accessibility.
It is clear that this is built by a team of top-notch players who know their craft. Definitely deserves the support!
Good luck to the whole squad!
Mentor by Skippr AI
@byalexai Thanks for the support Aleks, super excited for this and to be working alongside you 🔥
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!
Klariqo AI Voice Assistants
This looks soo cool! Would love to see Skippr integrate with tools like Cursor/Claude Code. Is that on the roadmap? Great job team
Mentor by Skippr AI
Thank you @ansh_deb!
Currently, you can integrate Cursor/Claude Code via an MCP using an npm command or by directly adding the JSON config. Tighter integrations with IDEs are something we're definitely thinking about.
Klariqo AI Voice Assistants
@ziad_al_ziadi That's amazing.
Documentation.AI
How does Skippr differ from the AI coding agents? Seems like you’re solving a different, more upstream problem with no coding abilities?
Mentor by Skippr AI
Hey @roopreddy
Skippr operates on a completely different layer! Coding agents jump in once you already know exactly what you want to build. Skippr is the step before that, the product and UX brain that helps you avoid shipping the wrong thing faster.
It catches issues early, clarifies intent, shapes the experience, and makes sure the direction actually makes sense. Then, when you’re ready to execute, Skippr hands clean, intentional requests off to any coding agent through MCP. It’s upstream, not competing, and it saves a ton of wasted development cycles.
Congrats on the launch! Curious to know how Skipper's agents pull insights from local dev environment. Is it reading diffs, runtime behaviour, or something else under the hood?
Mentor by Skippr AI
@sunny_k_s Thanks!
For local dev environments, we don't read diffs, runtime or anything of the like. You're able to bring Skippr context and feedback through the MCP to your local dev environment, however. We do have ideas on our roadmap to tighten the connection to local dev for different teams beyond engineering.
Brilliant!! I spent two decades designing UI/UX. This is a game-changer. Well done Sagi and team! 👏🏼
Any plans to let Skippr actually implement the changes it recommends? That would be a huge leap from just feedback to real execution.
Mentor by Skippr AI
Hey@deepak_jangir7!
Definitely. Tighter, automated implementations for Skippr’s suggested changes are on the roadmap. You can already approximate this today through our MCP connection, which lets you send fixes straight to Claude Code, Cursor, or VS Code.
We started with feedback first because that’s the gap teams feel most—coding execution is already well covered right now. The goal is to close that loop over time!
Mentor by Skippr AI
@deepak_jangir7 Yes! We're actively exploring this.
Currently, Skippr provides context to coding agents like Cursor or Claude Code via MCP - they handle implementation. But we're definitely looking at the possibility of closing that loop entirely and having Skippr implement changes directly.
Does Skippr integrate directly with GitHub/GitLab/Bitbucket yet? Or is everything done locally through the Chrome extension?
Mentor by Skippr AI
Hey@dheeman_hota
Right now, we don't integrate directly with GitHub/GitLab/Bitbucket. You can use Skippr locally via localHost in a browser!
Mentor by Skippr AI
@dheeman_hota Great question! Everything currently runs through the Chrome extension - no direct GitHub/GitLab/Bitbucket integration yet.
But we're exploring this path to give Skippr codebase context and potentially push changes as PRs directly.
What's your main use case - better context awareness or automated PRs?
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?