Plan CRO for pages, forms and checkout with ICE-ranked fixes.

MITAuto-check passedMarketing & SEO

Install Cro

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill cro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro cro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cro .claude/skills/cro && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cro
GitHub stars
862
Used in
1 other repo
Token cost
~3.9k tokens
SKILL.md length
1,966 words
Files
7
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Plan CRO for pages, forms and checkout with ICE-ranked fixes.

  • Works in 9 steps: Check session context — The active brand… → If you need the full profile, read:… → Apply brand voice — Formality, energy,… → …
  • Tasks that involve Conversion rate optimization
  • SKILL.md covers When to Use This Skill, Brand Context (Auto-Applied), Required Context and Capabilities, plus 6 more sections
  • Calls python

What it does

Cro is an agent skill from indranilbanerjee/digital-marketing-pro. Plan CRO for pages, forms and checkout with ICE-ranked fixes. One page → landing-page-audit. "reduce cart abandonment"

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `ab-testing.md`, `checkout-optimization.md` and `form-optimization.md`).

It sits in Marketing & SEO, covering Conversion rate optimization and Landing pages. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • Tasks that involve Conversion rate optimization
  • Tasks that involve Landing pages

Example prompts

  • “reduce cart abandonment”
  • “/cro”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Check session context — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels…
  2. If you need the full profile, read: ~/.claude-marketing/brands/{slug}/profile.json
  3. Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
  4. Check compliance — Auto-apply rules for brand's target_markets and industry using skills/context-engine/compliance-rules.md
  5. Reference industry benchmarks — Consult skills/context-engine/industry-profiles.md for the brand's industry
  6. Use platform specs — Reference skills/context-engine/platform-specs.md for character limits and format requirements
  7. Check campaign history — Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns before…
  8. If no brand exists, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best…
  9. Check brand guidelines — If ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json exists, load and enforce: restrictions.md for…

What it can do on your machine

Read from SKILL.md and the folder at commit 9e949f3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cro loads about 3.9k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 1,966 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 1,966 words, ~3,940 tokens.

Download SKILL.mdSave it as .claude/skills/cro/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
cro
description
Plan CRO for pages, forms and checkout with ICE-ranked fixes. One page → landing-page-audit. "reduce cart abandonment"

CRO (Conversion Rate Optimization)

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/.

When to Use This Skill

Activate this skill when the user's request involves any of the following:

  • Auditing a landing page for conversion performance
  • Designing or improving a landing page layout, copy, or user flow
  • Setting up, analyzing, or interpreting A/B tests or multivariate tests
  • Optimizing web forms (lead gen, signup, contact, application)
  • Designing or auditing pricing pages and pricing presentation
  • Reducing cart abandonment or improving checkout completion rates
  • Improving any website conversion metric (lead form submissions, signups, purchases, trial starts)
  • Calculating sample sizes, test duration, or statistical significance for experiments
  • Prioritizing which conversion improvements to tackle first
  • Diagnosing why a page or funnel has a low conversion rate
  • Asking about trust signals, social proof, urgency elements, or CTA optimization

Brand Context (Auto-Applied)

Before producing any marketing output from this module:

  1. Check session context — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors shown there.
  2. If you need the full profile, read: ~/.claude-marketing/brands/{slug}/profile.json
  3. Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
  4. Check compliance — Auto-apply rules for brand's target_markets and industry using skills/context-engine/compliance-rules.md
  5. Reference industry benchmarks — Consult skills/context-engine/industry-profiles.md for the brand's industry
  6. Use platform specs — Reference skills/context-engine/platform-specs.md for character limits and format requirements
  7. Check campaign history — Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns before planning new work
  8. If no brand exists, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best practices."
  9. Check brand guidelines — If ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json exists, load and enforce: restrictions.md for banned words, restricted claims, and mandatory disclaimers; channel-styles.md for channel-specific tone overrides (may differ from base voice); messaging.md for approved key messages, taglines, and positioning language; voice-and-tone.md for detailed voice rules beyond the 4 numeric scores. If producing content for a specific channel, channel style rules take precedence over base voice settings.

Do not ask the user for information that already exists in their brand profile.

Required Context

Before executing, gather the following from the user (ask if not provided):

  • Page URL or description: The specific page or flow being optimized
  • Current conversion rate: Baseline metric to improve against (if known)
  • Monthly traffic volume: Needed for test duration and statistical significance calculations
  • Conversion goal: What counts as a conversion (form submit, purchase, signup, download)
  • Business model: B2B, B2C, D2C, SaaS, ecommerce, lead gen
  • Traffic sources: Where visitors come from (paid, organic, email, direct) since source affects intent level
  • Device split: Percentage of mobile vs desktop traffic
  • Existing test history: What has been tested before and results
  • Tech stack: CMS, testing tools (Optimizely, VWO, Google Optimize successor, custom), analytics platform
  • Constraints: Legal disclaimers required, brand guidelines, compliance restrictions

Capabilities

Landing Page Audits
  • 5-second test: Does the page communicate its value proposition within 5 seconds of loading?
  • Above-the-fold analysis: Headline clarity, subheadline support, hero image relevance, primary CTA visibility
  • Trust signal inventory: Logos, testimonials, reviews, certifications, security badges, guarantees
  • CTA assessment: Clarity, contrast, placement, copy specificity, number of competing CTAs
  • Form evaluation: Field count, field labels, required vs optional, error handling, multi-step vs single-step
  • Page speed impact: Load time correlation to bounce rate, Core Web Vitals as conversion factors
  • Mobile experience: Touch targets, scroll depth, thumb-zone CTA placement, mobile-specific friction points
  • Content hierarchy: Information architecture, visual hierarchy, F-pattern or Z-pattern scanning support
  • Objection handling: Whether the page addresses common objections before the conversion point
A/B Testing Framework
  • ICE prioritization: Score potential tests by Impact (1-10), Confidence (1-10), and Ease (1-10) to determine test order
  • Hypothesis format: Structured as "If we [change], then [metric] will [improve/decrease] because [rationale]"
  • Sample size calculation: Based on baseline conversion rate, minimum detectable effect, statistical power (80%), and significance level (95%)
  • Test duration estimation: Accounting for traffic volume, conversion rate, and full business cycles (minimum 1-2 weeks to capture weekly patterns)
  • Result interpretation: Statistical significance, practical significance, segment analysis, and revenue impact projection
  • Sequential testing: When to use fixed-horizon vs sequential/Bayesian methods for faster decisions
Form Optimization
  • Field reduction: Remove or defer non-essential fields. Each additional field reduces conversion by approximately 2-7%
  • Progressive profiling: Collect information across multiple interactions rather than all at once
  • Inline validation: Real-time feedback as users complete fields reduces form abandonment
  • Smart defaults: Pre-fill known data, use sensible defaults, and provide auto-complete
  • Multi-step forms: Break long forms into logical steps with progress indicators
  • Field type optimization: Dropdowns vs radio buttons vs text inputs based on option count and context
  • Error messaging: Specific, helpful error messages positioned near the relevant field
Pricing Psychology
  • Anchoring: Present a higher-priced option first to make target option seem reasonable
  • Decoy effect: Introduce a strategically inferior option to push users toward the target plan
  • Charm pricing: $99 vs $100 -- when it works (B2C, impulse purchases) and when it backfires (premium B2B)
  • Price framing: Annual vs monthly display, per-user vs flat rate, daily equivalency ("less than a cup of coffee")
  • Plan naming: Naming conventions that guide self-selection (Starter/Growth/Enterprise vs Basic/Pro/Premium)
  • Feature differentiation: Which features to gate at each tier to create natural upgrade pressure
  • Social proof on pricing: Showing "Most Popular" badges, customer counts per tier, or logos
Checkout Optimization
  • Cart abandonment reduction: Exit-intent offers, cart recovery emails, progress indicators, persistent cart
  • Guest checkout: Always offer guest checkout; forced account creation causes 24% abandonment
  • Payment method coverage: Credit cards, PayPal, Apple Pay, Google Pay, Buy Now Pay Later, regional methods
  • Shipping transparency: Show costs early, offer free shipping thresholds, provide delivery estimates
  • Order summary persistence: Keep order details visible throughout checkout
  • Security reinforcement: SSL badges, payment logos, money-back guarantees at the point of payment
  • One-page vs multi-step checkout: Decision framework based on product complexity and information requirements
  • Post-purchase optimization: Confirmation page upsells, order confirmation email, account creation after purchase

Process

Standard Landing Page Audit (Most Common Use Case)
  1. 5-second scan -- Review the page as a first-time visitor. Can you identify what the company does, who it is for, and what action to take within 5 seconds?
  2. Above-the-fold audit -- Evaluate headline specificity, subheadline support, hero relevance, and CTA prominence. The fold is the most valuable real estate.
  3. Trust and credibility -- Inventory all trust signals (testimonials, logos, reviews, certifications, guarantees). Identify gaps where social proof is missing at critical decision points.
  4. CTA analysis -- Count all CTAs on the page. Check for competing actions, button copy specificity ("Get My Free Trial" beats "Submit"), contrast ratio, and placement frequency.
  5. Content flow -- Walk through the page section by section. Does it follow a logical persuasion sequence? Problem, solution, proof, action?
  6. Form/conversion point -- Evaluate the form or conversion mechanism. Count fields, assess labels, check error handling, and evaluate the micro-copy around the submit button.
  7. Mobile audit -- Review the same page on mobile. Check touch targets (minimum 44x44px), scroll depth to CTA, horizontal scrolling issues, and load time.
  8. Speed check -- Note any visible performance issues. Recommend Core Web Vitals audit if speed appears to be a factor.
  9. Prioritized recommendations -- Deliver findings as a prioritized list using the ICE framework. Quick wins first, structural changes second, redesign-level changes last.
Show full SKILL.md (765 more words)Show less
A/B Test Design Process
  1. Identify the problem -- Use data (analytics, heatmaps, session recordings, user feedback) to pinpoint the conversion bottleneck.
  2. Form hypothesis -- Write a structured hypothesis: "If we [change X], then [metric Y] will [increase/decrease] by [estimated amount] because [rationale based on evidence]."
  3. Score with ICE -- Rate Impact, Confidence, and Ease on a 1-10 scale. Prioritize tests with highest composite scores.
  4. Calculate requirements -- Determine sample size with python "${CLAUDE_PLUGIN_ROOT}/scripts/sample-size-calculator.py" --baseline-rate {rate} --mde {mde} --mde-type absolute --significance 0.95 --power 0.80 (pass --mde-type relative if the MDE is a relative lift — the two differ by roughly two orders of magnitude, ~200×, at a 5% baseline). Estimate test duration based on daily traffic.
  5. Design variation -- Create the test variation. Change only one variable per test (unless running a multivariate test with sufficient traffic).
  6. QA the test -- Verify tracking, check both variations across devices and browsers, confirm that the test does not break downstream flows.
  7. Run and monitor -- Launch the test. Do not peek at results before reaching calculated sample size. Monitor for technical issues only.
  8. Analyze and document -- At the end of the test, evaluate statistical significance with python "${CLAUDE_PLUGIN_ROOT}/scripts/significance-tester.py" --control-visitors {n} --control-conversions {n} --variant-visitors {n} --variant-conversions {n} --confidence 0.95, check segment-level results, calculate revenue impact, and document learnings regardless of outcome.

Reference Files

  • landing-page-audit.md -- Detailed audit checklist, scoring rubric, and benchmark conversion rates by industry
  • ab-testing.md -- Test design templates, sample size calculators, statistical methods, and common testing pitfalls
  • form-optimization.md -- Field-by-field optimization guide, progressive profiling implementation, and form UX patterns
  • pricing-psychology.md -- Pricing page templates, psychological principles with examples, and tier structure frameworks
  • checkout-optimization.md -- Cart abandonment diagnosis, checkout flow templates, and payment optimization strategies
  • personalization-testing.md -- Segment-based personalization test design, minimum segment sizes, and personalization measurement pitfalls

Output Formats

  • Landing page audit report: Section-by-section findings with severity ratings (critical/high/medium/low), screenshots or references to specific elements, and prioritized action items with ICE scores
  • A/B test plan: Hypothesis, variation description, sample size requirements, estimated duration, success criteria, and segmentation plan
  • Form optimization spec: Current vs recommended field list, layout wireframe description, validation rules, and error message copy
  • Pricing page recommendation: Tier structure, pricing presentation, feature matrix, and psychological triggers with rationale
  • Checkout optimization plan: Funnel stage analysis, drop-off diagnosis, and ordered list of improvements with expected impact

Edge Cases

Low Traffic Sites

Sites with fewer than 1,000 monthly conversions often cannot reach statistical significance within a reasonable timeframe. For these sites, skip A/B testing and instead implement best practices directly based on audit findings. Use before/after measurement with awareness of confounding variables. Consider qualitative methods (user testing with 5 users catches 85% of usability issues) over quantitative testing.

B2B Long-Form Pages vs B2C Short-Form

B2B landing pages often need to be longer because purchase decisions involve multiple stakeholders, higher price points, and longer evaluation cycles. Do not default to "shorter is better." Instead, ensure the above-the-fold section qualifies intent quickly, and let the rest of the page handle objections comprehensively. B2C impulse purchases benefit from short, fast, single-CTA pages.

Mobile-First vs Desktop-First Optimization

Check the device split before making recommendations. If 70%+ of traffic is mobile, optimize for mobile first and ensure desktop does not break. If traffic is desktop-dominant (common in B2B), optimize for desktop but never neglect mobile. The "responsive" middle ground often serves neither well.

Regulated Industries with Required Disclaimers

Healthcare, finance, legal, and insurance pages often require lengthy disclaimers, disclosures, or compliance text. Do not recommend removing these. Instead, work on formatting (collapsible sections, footnotes, smaller but readable type) and ensure the required content does not visually compete with the primary CTA. Position disclaimers after the conversion point where legally permissible.

Testing During Seasonal Peaks

Avoid launching A/B tests during Black Friday, holiday seasons, or major promotional periods. User behavior during peaks is not representative of normal behavior. Tests run during these periods will produce unreliable results. If a test must run during a peak, note the caveat and plan a validation retest during a normal period.

  • Paid Advertising -- CRO directly impacts ad campaign ROAS; landing page quality affects Quality Score and ad relevance
  • Analytics & Insights -- Data analysis for identifying conversion bottlenecks and measuring test results
  • Content Engine -- Copywriting for headlines, CTAs, and persuasive page content
  • Funnel Architect -- CRO fits within the broader funnel optimization strategy
  • Growth Engineering -- Activation and onboarding optimization overlaps with CRO for SaaS products
  • SEO -- Page speed and Core Web Vitals affect both rankings and conversion rates

Agents Used

  • cro-specialist — Primary agent for all CRO tasks: landing page audits, A/B test design, form optimization, pricing psychology, checkout optimization, statistical significance calculations, and experiment documentation

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files in skills/cro of indranilbanerjee/digital-marketing-pro.

  • SKILL.md
  • ab-testing.md
  • checkout-optimization.md
  • form-optimization.md
  • landing-page-audit.md
  • personalization-testing.md
  • pricing-psychology.md

Open the folder on GitHubat commit 9e949f3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Cro next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Paywall Upgrade CroLeoYeAI/openclaw-marketing-skills1k1 repos~1.4kAutomated safety check: PassCustom licence
Cro Optimizationognjengt/founder-skills447—~2.4kAutomated safety check: PassMIT

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Categories

Questions about Cro

What does Cro do?

Plan CRO for pages, forms and checkout with ICE-ranked fixes. Cro is an agent skill from indranilbanerjee/digital-marketing-pro. Plan CRO for pages, forms and checkout with ICE-ranked fixes.

When should I use Cro?

Cro fits situations like: tasks that involve Conversion rate optimization; tasks that involve Landing pages.

How do I install Cro in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill cro -a claude-code`. Or copy the skill folder (skills/cro in indranilbanerjee/digital-marketing-pro) into .claude/skills/cro in your project. Claude Code loads it when a task matches its description.

How do I install Cro in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill cro -a codex`. Or copy the skill folder (skills/cro in indranilbanerjee/digital-marketing-pro) into .agents/skills/cro in your project. Codex loads it when a task matches its description.

Can I use Cro in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add indranilbanerjee/digital-marketing-pro --skill cro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cro, .gemini/skills/cro, .github/skills/cro and .opencode/skills/cro in your project.

What does Cro need to run?

Going by SKILL.md and its folder, Cro needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Cro access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cro safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cro use?

Cro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cro use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cro?

Skills that share tags, products or a category with Cro: Paywalls (coreyhaines31/marketingskills, 54k stars), Paywall Upgrade Cro (freekmurze/dotfiles, 1k stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars) and Paywall Upgrade Cro (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cro?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 862 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 9, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.