agentleFS
OpenLaborOpenLabor/openlabor/skills/conversion-audit/SKILL.md

Conversion Audit

Skill5 starsChanged 3 months agoMITView on GitHub

Score landing pages across 8 CRO dimensions from a URL — plus survey-to-lead-magnet pipeline from CSV data

  • Reads credentials

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check viewport meta tag, responsive patterns in the HTML

    line 75
  2. Distinctive:

    Check: image count/sizes, script count, inline CSS vs external, lazy loading

    line 79
  3. Distinctive:

    Always fetch the actual page — don't score from description alone

    line 177

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- openlabor-connector: research, api_key={{INTERNAL_API_KEY}}, employee={{EMPLOYEE_ID}}, base={{API_BASE_URL}} -->

Overview

Two tools in one skill. Tool 1: give it a URL, get an 8-dimension CRO score. Tool 2: give it survey CSV data, get lead magnet strategies per segment. Zero external API cost — uses JINA_READ to fetch pages.


Tool 1: CRO Page Audit

Step 1: Fetch the Page

use research JINA_READ '{"url":"TARGET_URL"}'

This returns the page content as clean markdown. Parse it for: headlines, CTAs, form fields, testimonials, trust signals, images, meta tags.

Step 2: Score 8 Dimensions (each 0-100)

1. Headline Clarity (0-100)

  • 90-100: Value prop obvious in <5 seconds, specific benefit, customer language
  • 70-89: Clear but generic, could be any company
  • 50-69: Vague or feature-focused instead of benefit-focused
  • 0-49: Missing, confusing, or purely clever (no meaning)

2. CTA Visibility (0-100)

  • 90-100: Above fold, contrasting color, specific text ("Start Free Trial"), low-commitment
  • 70-89: Present but generic ("Sign Up", "Learn More")
  • 50-69: Below fold only, or blends with design
  • 0-49: Missing or buried

3. Social Proof (0-100)

  • 90-100: Named testimonials with photos + results, recognizable logos, specific numbers ("14,000 teams")
  • 70-89: Testimonials present but generic ("Great product!")
  • 50-69: Logos only, or vague claims ("Trusted by thousands")
  • 0-49: No social proof at all

4. Urgency/Scarcity (0-100)

  • 90-100: Genuine scarcity with deadline or limited availability
  • 70-89: Soft urgency ("Start today", "Don't miss out")
  • 50-69: No urgency but has clear next step
  • 0-49: No reason to act now

5. Trust Signals (0-100)

  • 90-100: Money-back guarantee + security badges + privacy policy + recognizable certifications
  • 70-89: Some trust elements present
  • 50-69: Only basic footer links
  • 0-49: No trust indicators

6. Form Friction (0-100)

  • 90-100: 1-3 fields, no credit card, instant value
  • 70-89: 4-5 fields, reasonable
  • 50-69: 6+ fields or requires credit card upfront
  • 0-49: Long forms, mandatory phone, complex multi-step

7. Mobile Responsiveness (0-100)

  • Check viewport meta tag, responsive patterns in the HTML
  • Score based on: readable font sizes, tap targets, no horizontal scroll indicators

8. Page Speed Indicators (0-100)

  • Check: image count/sizes, script count, inline CSS vs external, lazy loading
  • Score based on resource weight signals in the HTML

Overall CRO Score = weighted average:

  • Headline Clarity: 20%
  • CTA Visibility: 20%
  • Social Proof: 15%
  • Trust Signals: 15%
  • Form Friction: 10%
  • Urgency: 10%
  • Mobile: 5%
  • Speed: 5%

Letter grades: A+ (95-100), A (90-94), B+ (85-89), B (80-84), C+ (75-79), C (70-74), D (60-69), F (<60)

Step 3: Priority Fixes

For each dimension scoring below 70, generate:

  • Issue: what's wrong specifically
  • Fix: concrete copy/design change
  • Impact: estimated lift (Low/Medium/High)
  • Effort: implementation difficulty (Low/Medium/High)

Rank fixes by Impact/Effort ratio — highest impact, lowest effort first.

Step 4: Industry Benchmarks

Compare scores against industry averages:

IndustryAvg CRO ScoreTop Quartile
SaaS6278+
Ecommerce5874+
Agency5572+
B2B5268+
Finance6076+
Healthcare4864+

Step 5: Output Format

## CRO Audit: [URL]
**Overall Score: [XX]/100 — Grade: [Letter]**
**Industry: [detected or specified] — Benchmark: [avg] — Your position: [above/below/at]**

### Dimension Scores
| Dimension | Score | Status | Key Finding |
(table with all 8 dimensions, green/yellow/red status)

### Priority Fixes (ranked by impact/effort)
1. [Highest priority fix with specific copy suggestion]
2. ...
3. ...

### What's Working Well
- [Positive findings]

### Competitor Comparison (if URLs provided)
(side-by-side scores)

Tool 2: Survey-to-Lead-Magnet

Step 1: Ingest CSV

User provides survey CSV (from Typeform, Google Forms, SurveyMonkey, etc.) Parse: identify pain point columns, demographic columns, response counts.

Step 2: Cluster Pain Points

Group responses by similar themes. For each cluster:

  • Cluster name
  • Response count (% of total)
  • Representative quotes
  • Commercial potential (High/Medium/Low based on buying intent signals)

Step 3: Generate Lead Magnets

For each top cluster (max 5), generate:

  • Title: specific, benefit-driven
  • Format: guide / checklist / template / calculator / quiz (pick best for the pain point)
  • Hook: one sentence that would make this segment click
  • Outline: 5-7 sections
  • CTA: what happens after they download
  • Distribution: best channel to reach this segment
  • Viral score: 1-10 likelihood of sharing
  • Conversion score: 1-10 likelihood of converting to customer

Step 4: Implementation Roadmap

Prioritize lead magnets by: segment size × commercial potential × ease of creation


Guidelines

  • Always fetch the actual page — don't score from description alone
  • Be brutally honest in scoring — inflated scores help nobody
  • Provide SPECIFIC copy suggestions, not generic advice
  • Compare to competitors when URLs are provided
  • Survey clustering should use actual response text, not just column headers

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