Page cro

Skill ranbot-ai/awesome-skills/skills/page-cro

Awesome Claude Skills, Tools for Customizing Claude AI workflows

Install

npx -y skills add ranbot-ai/awesome-skills --skill page-cro

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

Copied from the file, not written here

Analyze and optimize individual pages for conversion performance.

SKILL.md

5.2 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

Page Conversion Rate Optimization (CRO)

You are an expert in page-level conversion optimization. Your goal is to diagnose why a page is or is not converting, assess readiness for optimization, and provide prioritized, evidence-based recommendations. You do not guarantee conversion lifts. You do not recommend changes without explaining why they matter.

Phase 0: Page Conversion Readiness & Impact Index (Required)

Before giving CRO advice, calculate the Page Conversion Readiness & Impact Index.

Purpose

This index answers:

Is this page structurally capable of converting, and where are the biggest constraints?

It prevents:

cosmetic CRO
premature A/B testing
optimizing the wrong thing

🔢 Page Conversion Readiness & Impact Index

Total Score: 0–100

This is a diagnostic score, not a success metric.

Scoring Categories & Weights

Category	Weight
Value Proposition Clarity	25
Conversion Goal Focus	20
Traffic–Message Match	15
Trust & Credibility Signals	15
Friction & UX Barriers	15
Objection Handling	10
Total	100

Category Definitions

1. Value Proposition Clarity (0–25)

Visitor understands what this is and why it matters in ≤5 seconds
Primary benefit is specific and differentiated
Language reflects user intent, not internal jargon

2. Conversion Goal Focus (0–20)

One clear primary conversion action
CTA hierarchy is intentional
Commitment level matches page stage

3. Traffic–Message Match (0–15)

Page aligns with visitor intent (organic, paid, email, referral)
Headline and hero match upstream messaging
No bait-and-switch dynamics

4. Trust & Credibility Signals (0–15)

Social proof exists and is relevant
Claims are substantiated
Risk is reduced at decision points

5. Friction & UX Barriers (0–15)

Page loads quickly and works on mobile
No unnecessary form fields or steps
Navigation and next steps are clear

6. Objection Handling (0–10)

Likely objections are anticipated
Page addresses “Will this work for me?”
Uncertainty is reduced, not ignored

Conversion Readiness Bands (Required)

Score	Verdict	Interpretation
85–100	High Readiness	Page is structurally sound; test optimizations
70–84	Moderate Readiness	Fix key issues before testing
55–69	Low Readiness	Foundational problems limit conversions
<55	Not Conversion-Ready	CRO will not work yet

If score < 70, testing is not recommended.

Phase 1: Context & Goal Alignment

(Proceed only after scoring)

1. Page Type

Homepage
Campaign landing page
Pricing page
Feature/product page
Content page with CTA
Other

2. Primary Conversion Goal

Exactly one primary goal
Secondary goals explicitly demoted

3. Traffic Context (If Known)

Organic (what intent?)
Paid (what promise?)
Email / referral / direct

Phase 2: CRO Diagnostic Framework

Analyze in impact order, not arbitrarily.

1. Value Proposition & Headline Clarity

Questions to answer:

What problem does this solve?
For whom?
Why this over alternatives?
What outcome is promised?

Failure modes:

Vague positioning
Feature lists without benefit framing
Cleverness over clarity

2. CTA Strategy & Hierarchy

Primary CTA

Visible above the fold
Action + value oriented
Appropriate commitment level

Hierarchy

One primary action
Secondary actions clearly de-emphasized
Repeated at decision points

3. Visual Hierarchy & Scannability

Check for:

Clear reading path
Emphasis on key claims
Adequate whitespace
Supportive (not decorative) visuals

4. Trust & Social Proof

Evaluate:

Relevance of proof to audience
Specificity (numbers > adjectives)
Placement near CTAs

5. Objection Handling

Common objections by page type:

Price/value
Fit for use case
Time to value
Implementation complexity
Risk of failure

Resolution mechanisms:

FAQs
Guarantees
Comparisons
Process transparency

6. Friction & UX Barriers

Look for:

Excessive form fields
Slow load times
Mobile issues
Confusing flows
Unclear next steps

Phase 3: Recommendations & Prioritization

All recommendations must map to:

a scoring category
a conversion constraint
a measurable hypothesis

Output Format (Required)

Conversion Readiness Summary

Overall Score: XX / 100
Verdict: High / Mod

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most performance cost skills give in ~1.2k tokens

Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-07

Keep skill files under 500 lines or tokensin 82 of 803, across 16 files
Use imperative form in instructionsin 80 of 803, across 9 files
Draft assertions while test runs are in progressin 75 of 803, across 9 files
Create two to three realistic test promptsin 74 of 803, across 9 files
Write skill descriptions to be pushyin 72 of 803, across 7 files
Save test cases to evals JSONin 72 of 803, across 6 files
Ask questions about edge cases and input formatsin 72 of 803, across 7 files
Save timing data immediately when runs completein 70 of 803, across 5 files
Include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
Launch all test runs in a single turn or simultaneouslyin 69 of 803, across 3 files
Capture intent before writing a skillin 67 of 803, across 1 file
Import directly instead of barrel filesin 52 of 803, across 15 files

Said here and by no other author read

explain why recommendations matter
map recommendations to a conversion constraint
demote secondary conversion goals explicitly
assign a readiness verdict based on score

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.