To use Skippr AI, sign up at skippr.ai for 200 free credits, paste a two-line SDK snippet into your product, and point the agent at your docs so it can start guiding real users by voice. It's not a chatbot you open in a new tab — it's a live agent you embed inside your own app, so the "using" happens mostly on the setup side, before your customers ever talk to it.
Short answer: Skippr AI is a voice-and-screen agent you embed in your own product with two lines of code. Sign up free for 200 credits, connect your docs, and it can talk users through onboarding, click through your UI, and hand off to a human when stuck. Paid plans start at $149/month for 750 credits.
I ran through Skippr's signup flow and read the SDK docs and pricing page while building this guide — Skippr AI happened to be launching on Product Hunt the same week, which made it easy to cross-check the numbers below against what the company itself is telling early adopters. Here's exactly what setup looks like, what the free 200 credits actually cover, and where people waste credits fastest.
What you'll need
An email address and a company name — Skippr asks for both to create an account, and no credit card is required for the 200-credit free trial. You'll also need a live product or a staging build you control, since Skippr AI only works once it's embedded in something; there's no standalone chat window for solo use the way there is with ChatGPT or Claude. Someone on your team needs enough access to paste a script tag into your app, and you should have your product docs or help center ready, because Skippr scans that content to learn what your product does before it talks to a single real user.
Step-by-step: How to use Skippr AI
1. Create your account
Go to skippr.ai, sign up with a work email, and you land with 200 free credits and no card on file. There's no separate "request a demo" gate for the trial — you get straight into the dashboard.
2. Let Skippr scan your product and docs
Point it at your documentation or help center URL. Skippr's product-scanning feature pulls in what your app actually does so the agent isn't guessing at features from a generic prompt — this is what it uses to answer questions and decide which screen to walk a user to next.
3. Embed the two-line SDK
Add the script tag and an initialize call to your app:
“ <script src="https://unpkg.com/@skippr/live-agent-sdk/dist/skippr-sdk.js"></script> <script>Skippr.initialize({ appKey: 'pk_live_your_key' })</script> “
That's genuinely the whole install — no separate build step, per Skippr’s own site.
4. Set the voice, brand colors, and guardrails
Match the widget to your brand's colors and tone, and set up human-in-the-loop controls so a real teammate can watch a session, take it over, or step in when the agent hits something it shouldn't handle alone.
5. Test on staging before real users see it
Run a full session yourself first. Credits are billed by session complexity, not by the minute, so a messy first test on production is both a bad user experience and a needless credit burn.
6. Review transcripts, then pick a plan
Every session leaves a transcript and replay, plus an auto-drafted follow-up. Once you know how many sessions a normal week actually needs, match that to a plan — the free 200 credits are for evaluation, not for running your onboarding at scale.
Example agent instructions you can copy
Skippr's agent runs on instructions you set, not a chat prompt a user types, so what you write here matters more than in a typical AI tool. A few patterns that keep it useful instead of generic:
- "When a new user opens the dashboard for the first time, walk them to creating their first [core object] before mentioning any advanced feature."
- "If the user goes quiet for more than 15 seconds mid-task, ask one specific question about what they're stuck on instead of repeating the last instruction."
- "Never quote a price or a refund policy from memory — pull it from the linked docs page or say you'll connect them to support."
- "If a user tries to do something the agent can't complete via the API, say so plainly and offer to flag a teammate rather than pretending to finish it."
- "Keep first-session responses under two sentences unless the user asks a follow-up — don't lecture."
Each one works because it constrains the agent to something specific and checkable, not a vague personality trait.
Common mistakes to avoid
The one that costs the most credits: pushing straight to production before a staging test, because a confused agent burns a full-complexity session same as a smooth one. Second, skipping the documentation scan or letting it go stale after a product update — the agent will confidently answer with last month's feature set. Third, leaving human-in-the-loop escalation off, so a stuck user gets stuck with no path to a person, which does more damage to trust than not having the agent at all. Fourth, treating the 200 free credits as a permanent plan rather than an evaluation window — they're enough to validate the idea, not to run onboarding for a real user base. And fifth, not customizing the voice and brand colors, which makes the agent feel bolted-on instead of part of the product.
Tools that make this easier
Skippr AI is one piece of a bigger AI-tools stack, not a replacement for the rest of it. If you're deciding whether an embedded agent like this even fits a smaller company, best AI tool for small business covers where the returns are clearest at that scale. For a broader look at agentic AI that acts instead of just answering — the same category Skippr sits in — see how to use ChatGPT agents. I test every tool on this site the same way I tested Skippr here — hands-on, against the vendor's own pricing page — and how we test AI tools explains that process in full. If Skippr AI is your first embedded AI product, your starter kit for AI is a good next stop for what else is worth setting up. Writing the onboarding scripts and docs Skippr scans is its own job, and my ranked best AI writing tools guide covers what's worth paying for there, with a deeper look at the strongest brand-voice option in my Jasper review.
What each plan gets you
| Plan | Price | Credits | Best for |
|---|---|---|---|
| Free | $0 | 200 (one-time) | Testing the setup, no card required |
| Lite | $149/mo | 750/mo | Small teams running a steady trickle of sessions |
| Scaleup | $599/mo | 4,200/mo | Growing product-led teams — Skippr's most popular tier |
| Enterprise | From $2,000/mo | Custom | Large-scale rollouts, custom limits and contract terms |
Credits track session complexity rather than raw minutes, so a long multi-step onboarding session costs more than a quick one-question session, according to Skippr’s own pricing page. Free, Lite, and Scaleup all share the same feature set — you're paying for volume, not for unlocking features.
My take
Skippr AI does something genuinely different from a chatbot bolted onto a help widget — it can see the screen and click through your product, not just describe what to click. That's a real capability gap versus most "AI assistant" widgets. What I'd flag before you commit real budget: it's brand new (it launched on Product Hunt the same week I wrote this), the stats the company cites on its own site — activation and conversion lifts, satisfaction scores — are the vendor's numbers, not independently verified ones, so treat them as a starting hypothesis to test on your own product, not a guarantee. The setup itself is honestly as easy as advertised: two lines of code, a docs scan, and you have something running on staging in under an hour. Whether it's worth $149 to $599 a month depends entirely on how many real sessions your product needs — run the free 200 credits against a real onboarding flow before you decide.
Frequently Asked Questions
Is Skippr AI free?
There's a free trial with 200 credits and no credit card required, but there's no permanent free tier — once the trial credits run out, you need Lite at $149/month or higher to keep running sessions.
How long does it take to set up Skippr AI?
The SDK install itself is minutes — it's two lines of code. Getting it genuinely useful takes longer: scanning your docs, writing agent instructions, and running a staging test usually takes a few hours to a day before it's ready for real users.
What's the easiest way to get good results from Skippr AI?
Keep your documentation current before you connect it, write specific instructions instead of a vague personality brief, and always test a full session on staging before pointing it at real customers.
Do I need to know how to code to use Skippr AI?
You need someone who can paste a two-line script snippet into your app — that's about as much code as it takes. Configuring the agent's instructions and appearance afterward doesn't require coding.
Is Skippr AI the same as Finesse?
No. Finesse is a separate product from the same company — a Chrome extension that scans web interfaces for design, copy, and accessibility issues before you ship, rather than a live agent your users talk to.