Add a new expert to the Remotion experts page
日本語の概要は準備中です。原文の説明を表示しています。
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 multi-step user journey. If they mention steps, screens, or a sequence that leads to signup, payment, or activation, this is the skill. Even casual mentions like 'users aren't finishing signup' or 'our onboarding sucks' should trigger this. Use this instead of page-cro when the problem spans multiple screens rather than a single page.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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:
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概要と使いどころ
Add a new expert to the Remotion experts page
日本語の概要は準備中です。原文の説明を表示しています。
Add a new sound effect to @remotion/sfx
日本語の概要は準備中です。原文の説明を表示しています。
Use when setting up a secure email inbox for any AI agent — configuring inbound email via Resend, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks. Also use when someone mentions 'agent email', 'bot inbox', 'receive emails for agent', 'agent webhook', 'email security for AI', 'prompt injection via email', 'inbound email for bot', or wants their AI agent to receive and respond to emails securely.
日本語の概要は準備中です。原文の説明を表示しています。
Builds, measures, and improves an Answer Engine Optimization program across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. Use for AEO, GEO, LLMO, AI search visibility, AI citations, brand mentions, answer-engine monitoring, llms.txt, AI crawler audits, or questions like 'what does AI say about us?' and 'why are competitors cited instead of us?'. Produces a durable evidence report and prioritized gameplan, not a one-shot content checklist.
日本語の概要は準備中です。原文の説明を表示しています。
Generate Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.
日本語の概要は準備中です。原文の説明を表示しています。
Build detailed buyer personas and audience profiles from research. Use this skill whenever the user mentions audience, buyer persona, ideal customer, target market, ICP, watering holes, 'who am I selling to', customer research, or audience profile. Also use when content feels unfocused or generic (that's an audience problem), when conversion is low because messaging doesn't resonate, when starting any new project (audience should be first), or when any downstream skill needs audience.md but it doesn't exist yet. Even if the user doesn't explicitly ask for audience research, trigger this if they're writing copy or building a landing page without a clear audience defined. Three approaches: Quick Profile, Persona Build, Community Mining.
日本語の概要は準備中です。原文の説明を表示しています。