What is conversion-flow-cro?
Optimizes multi-step conversion flows including signup, onboarding, upgrade, and checkout. Maps each step, identifies friction and drop-off risks, then recommends specific copy/UX changes with A/B test plans.
MoizIbnYousaf/marketing-cli
Optimizes multi-step conversion flows including signup, onboarding, upgrade, and checkout. Maps each step, identifies friction and drop-off risks, then recommends specific copy/UX changes with A/B test plans. Use when someone says 'signup flow', 'onboarding optimization', 'checkout conversion', 'paywall optimization', 'activation rate', 'funnel analysis', 'why are users dropping off', 'registration flow', 'trial conversion', 'free to paid', 'upgrade flow', 'user journey', or wants to improve any
npx skills add https://github.com/MoizIbnYousaf/marketing-cli --skill "skills/conversion-flow-cro"Quick start
Install it or open the source, trigger it with a clear task, then follow the source workflow.
npx skills add https://github.com/MoizIbnYousaf/marketing-cli --skill "skills/conversion-flow-cro"Use conversion-flow-cro to help me with: [describe your task]. Before you begin, tell me what input you need, the steps you will follow, and the expected output.
5 key workflow steps, examples, and cautions are distilled below.
Continue to the workflowDirect answers
Optimizes multi-step conversion flows including signup, onboarding, upgrade, and checkout. Maps each step, identifies friction and drop-off risks, then recommends specific copy/UX changes with A/B test plans.
It is relevant to workflows involving Testing, Engineering, Marketing, Design.
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SkillSignal brief
Optimizes multi-step conversion flows including signup, onboarding, upgrade, and checkout. Maps each step, identifies friction and drop-off risks, then recommends specific copy/UX changes with A/B test plans.
Useful in these contexts
Core capabilities
Distilled from the source
About 6 min · 12 sections
Audit and optimize any multi-step conversion flow — signup, onboarding, trial-to-paid, checkout, upgrade. Map every step, find where people drop off, and fix each screen with specific copy and UX changes.
Step 1: Map the Current Flow
Step 2: Identify Drop-Off Points
Step 3: Apply Friction Reduction
Progressive Disclosure
Single-Field Starts
Email only → instant access to limited features
After first value moment → ask name + role (contextualized: 'Help us personalize your experience')
After 3 sessions → ask company + team size (gated behind upgrade)
Don't remove security steps (2FA, email verification) — flag them as necessary friction and suggest making them smoother, not removing them
Don't skip legally required fields (KYC, age verification, GDPR consent) — these stay; optimize their placement and copy instead
Don't simplify past compliance requirements — if a step exists for legal reasons, note it and move on
Don't suggest removing steps without understanding the business logic behind them — ask first
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
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Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance through CDP, producing a structured report, cleaning up only the owned test instance, and restoring the original branch.
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
Audit and optimize any multi-step conversion flow — signup, onboarding, trial-to-paid, checkout, upgrade. Map every step, find where people drop off, and fix each screen with specific copy and UX changes.
brand/audience.md — Personas, pain points, motivation levels at each stagebrand/positioning.md — Value props for reinforcement copy at each stepbrand/voice-profile.md — Brand voice for all copy suggestionsGet the flow information. Try these in order:
If the flow is partially provided (only some screens), audit what's available and note which steps need investigation.
Document every screen/step in the flow:
Flow: [Signup / Onboarding / Upgrade / Checkout]
Step 1: [Page/Screen name]
- URL/Route: [path]
- Fields/Actions: [what user must do]
- Copy: [headline, body, CTA]
- Friction points: [identified issues]
Step 2: [Next screen]
...
Total steps: [N]
Total required fields: [N]
Total decisions: [N]
Estimated completion time: [X minutes]
For each step, assess drop-off risk:
| Risk Factor | Score 1-5 | Notes |
|---|---|---|
| Too many fields | More than 3 per step = high risk | |
| Unclear value | User doesn't know why this step matters | |
| Unexpected ask | Requesting info that feels premature | |
| No progress signal | User doesn't know how far along they are | |
| Decision fatigue | Too many choices without guidance | |
| Trust gap | Asking for sensitive info without context | |
| Technical friction | Slow load, validation errors, mobile issues |
For each step, apply these principles:
For every step in the flow, output:
### Step [N]: [Name]
**Current State:**
- Headline: "[current]"
- Fields: [list]
- CTA: "[current]"
- Issues: [specific problems]
**Redesigned:**
- Headline: "[new — ties to value]"
- Fields: [reduced/reordered list]
- CTA: "[new — action + outcome]"
- Supporting copy: "[anxiety reducer or motivation booster]"
- Social proof: "[inline proof element]"
**Changes Made:**
1. [Specific change + reasoning]
2. [Specific change + reasoning]
**Expected Impact:** [Drop-off reduction estimate]
For each high-impact change, define a test:
## A/B Test: [Test Name]
**Hypothesis:** Changing [element] from [A] to [B] will increase [metric] by [X]% because [reasoning].
**Control:** [Current version]
**Variant:** [New version]
**Primary metric:** [Conversion rate at this step]
**Secondary metric:** [Overall flow completion rate]
**Sample size needed:** [Estimate based on current traffic]
**Duration:** [Minimum 2 weeks or X conversions]
Before: 8-step signup requiring name, email, password, company, role, team size, use case, phone After: 3-step progressive flow:
Expected impact: 40-60% improvement in signup completion rate. Progressive disclosure works because each ask feels justified by the value already delivered.
See references/flow-benchmarks.md for completion rate benchmarks by flow type, step-by-step drop-off patterns, mobile-specific data, and A/B test priorities. Use these to ground recommendations in real numbers.
Each flow audit produces: