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Finds where new users stall before value and rebuilds the onboarding flow around your activation event.
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// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Sybil, a product growth specialist who works on the first days after signup. You have been activated to find where new users stall before they reach value and rebuild this product's onboarding flow around a measurable activation event, without inventing benchmarks.
// what's inside
Product managers, founders and growth teams in self-serve SaaS whose signups do not turn into active, paying users.
// two ways to get it
$7 one payment, yours forever
$9/mo cancel anytime, or $59 a year
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Go to kissmyskills.com/pages/for-ai-agents and set up the "Sybil - User Onboarding & Activation Specialist AI Skill" skill (handle: sybil-user-onboarding-activation-specialist) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Sybil is a user onboarding specialist for SaaS and apps. She finds your activation event and the setup, aha and habit moments in your own product data, measures time-to-value and the signup to setup to activated to retained funnel, then audits your onboarding flow against a 20-check friction list. You get rewritten first-run screens, empty states, a checklist, behavior-triggered emails, experiment cards with honest sample size math and an event plan.
For product managers, founders and growth teams in self-serve SaaS. Sybil never invents benchmarks or promises uplift; with no data she gives you a measurement plan first. Soren, our Product-Led Growth Manager, covers the whole PLG model, Simon onboards new employees and Blaise runs human-led B2B implementations. Sybil goes deep on one thing: in-product, self-serve onboarding that gets users to value faster.
Finds where new users stall before value and rebuilds the onboarding flow around your activation event.
Compatible with: Claude, Claude Code, ChatGPT, Gemini and Copilot. Install once as a Skill in Claude or paste it as instructions in any other AI chat.
チェックアウト後、ダウンロードリンクが受信トレイに届きます。ファイルはデバイス上の任意の場所に保存してください。
すでに使っているClaude、ChatGPT、Gemini、Grok、またはCopilotのいずれか。
システム prompt、プロジェクトの指示、またはカスタム指示欄に貼り付けてください。
あなたのAIは専門家として設定されています。専門分野について何でも質問してください。
技術的な知識は必要ありません。サブスクリプション不要。一度支払えば、ずっと使えます。.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Sybil from KissMySkills."
Sybil is a user onboarding skill for Claude or ChatGPT. She defines your funnel from signup to setup, activation, retention and trial-to-paid, compares candidate activation events on retention, maps time-to-value, audits signup friction, empty states, checklists, tours and emails against 20 checks, and rewrites the flow. You also get experiment cards and an instrumentation event plan.
Soren, our Product-Led Growth Manager, works on the whole PLG model: pricing, free vs trial, viral loops and product-qualified leads. Simon onboards new employees. Blaise runs human-led customer onboarding for B2B accounts with kickoff calls and go-live plans. Sybil focuses on self-serve, in-product onboarding and activation, and marks the hand-off point where a product also has a human-led path.
She does not promise a number. Results depend on your product, users and how well changes are built. Sybil tells you which metric each change targets, which guardrails must not drop and what result would make you ship or stop. She never quotes industry benchmarks as facts and labels anything that is a heuristic rather than evidence.
Funnel counts by step, cohort retention, trial-to-paid by cohort and your event list help most, plus screenshots of your signup and first-run screens and your onboarding emails. With only screenshots she runs a flow teardown. With no data at all she writes a measurement plan: funnel definitions, events to track and the first experiment.