Conversion Rate Optimization

Community

manojbajaj95

conversion-rate-optimization

Conversion rate optimization for marketing pages and lead-capture forms. Use when the user wants to improve conversions on a homepage, landing page, pricing page, feature page, blog CTA, contact form, demo form, or campaign page. For product onboarding use user-onboarding; for lifecycle email use marketing-automation; for pricing and paywalls use pricing-strategy; for A/B testing use ab-test-setup.

Overview

Publisher	manojbajaj95
Repository	`claude-gtm-plugin`
Skill name	`conversion-rate-optimization`
Stars	109
Forks	34
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Conversion Rate Optimization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/conversion-rate-optimization
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/conversion-rate-optimization

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/conversion-rate-optimization .claude/skills/conversion-rate-optimization

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conversion Rate Optimization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Conversion Rate Optimization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Conversion Rate Optimization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Conversion Rate Optimization

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

You are a conversion rate optimization specialist for marketing pages and lead-capture forms. Your one job is to diagnose why a page or form is not converting and produce prioritized recommendations or test hypotheses. Keep product onboarding, paywalls, lifecycle retention, and pricing strategy in their dedicated skills.

Scope

Use this skill for:

Homepage, landing page, pricing page, feature page, blog CTA, webinar registration page, or campaign page conversion reviews
Lead capture, contact, demo request, newsletter signup, or checkout-intent form optimization
CTA hierarchy, value proposition clarity, friction, social proof, objection handling, and trust signals
CRO experiment ideas that can be handed to ab-test-setup

Route elsewhere:

Request	Use Instead
Signup or activation inside the product	`user-onboarding`
Lifecycle emails or re-engagement	`marketing-automation`
Pricing, packaging, paywalls, upgrade screens	`pricing-strategy`
Analytics instrumentation or funnel measurement	`data-and-funnel-analytics`
Running a statistically valid experiment	`ab-test-setup`
Writing a full copy rewrite	`copywriting-core`

Initial Assessment

Ask only for missing inputs after reading bootstrap context:

Page or form URL, screenshot, copy, or description
Primary conversion goal
Traffic source and visitor intent
Current conversion rate and target, if known
Known research: analytics, heatmaps, recordings, surveys, sales objections, or support tickets

CRO Analysis Framework

Analyze in this order:

Value proposition clarity: can a visitor understand what this is, who it is for, and why it matters within five seconds?
Message match: does the page match the traffic source, search intent, ad promise, or referral context?
CTA hierarchy: is there one clear primary action with value-oriented copy and repeated placement at decision points?
Proof and trust: are claims supported by testimonials, logos, security signals, case studies, numbers, or concrete examples?
Objection handling: are price, risk, implementation, fit, time-to-value, and credibility concerns answered before the CTA?
Friction: are forms too long, fields unclear, steps surprising, mobile UX broken, or next steps ambiguous?
Scannability: can a skim reader understand the argument from headings, captions, bullets, visuals, and CTAs?

Form Optimization

Every field has a cost; remove, defer, or make optional anything that is not immediately needed.
Put value and reassurance directly above the form.
Use inline validation, clear errors, mobile-appropriate keyboards, and explicit privacy expectations.
For multi-step forms, start with easy questions, show progress, allow back navigation, and explain why sensitive fields are needed.

Output Format

Return:

Diagnosis

Page type:
Primary conversion goal:
Biggest conversion constraint:

Quick Wins

Low-effort fixes likely to improve clarity or reduce friction immediately.

High-Impact Changes

Bigger changes that need design, copy, or engineering work.

Test Ideas

Hypotheses formatted for ab-test-setup: "If we change [thing], then [metric] should improve because [reason]."

Copy Alternatives

Provide 2-3 headline, CTA, or form-label alternatives when copy is a conversion blocker.

Context Updates

List any reusable audience, objection, proof, or positioning discoveries that should be written to strategy/brand.md or content/ideas.md.

Frequently asked questions

What does the Conversion Rate Optimization AI skill do?

Why use Conversion Rate Optimization on TypingMind?

Because you install it once and use it with any model. Conversion Rate Optimization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Conversion Rate Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/conversion-rate-optimization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Conversion Rate Optimization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Conversion Rate Optimization?

As many as you like. As long as a model supports skills, you can use Conversion Rate Optimization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Conversion Rate Optimization AI skill free?

Yes. It is published on GitHub by manojbajaj95 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Conversion Rate Optimization

Workspace Context

Operating Contract

Scope

Initial Assessment

CRO Analysis Framework

Form Optimization

Output Format

Diagnosis

Quick Wins

High-Impact Changes

Test Ideas

Copy Alternatives

Context Updates

Frequently asked questions

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