How do I install the Form Cro skill?

Run npx skillmds@latest add majiayu000/form-cro-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Form Cro skill do?

Form optimization for lead capture, contact, demo request, application, and checkout forms. Covers field-cost analysis, multi-step form design, validation UX, mobile optimization, and A/B testing frameworks. It is listed under Marketing & Growth on SkillMD.

Is Form Cro safe to use?

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Which AI agents work with Form Cro?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Form Cro free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT + Commons Clause.

Who published Form Cro?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Form Cro by majiayu000 — Agent Skill

Name: Form Cro
Rating: 4.2 (5 reviews)
Author: majiayu000

Form CRO

Production-grade form optimization framework covering field-cost analysis, layout engineering, multi-step form architecture, validation UX patterns, mobile-specific optimization, and structured A/B test design. Applicable to lead capture, contact, demo request, application, survey, and checkout forms. For signup/registration flows, use signup-flow-cro.

Initial Assessment
Field-Cost Analysis Framework
Multi-Step vs Single-Step Decision
Field Design Patterns
Validation UX
CTA and Submit Button Optimization
Mobile Form Optimization
Trust and Context Elements
Form Type Playbooks
A/B Test Framework
Metrics and Measurement
Output Artifacts
Related Skills

Clarify First

Before optimizing the form, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Form type — lead capture, contact, demo, application, or checkout (sets the optimal field count and playbook)
Current fields + which are used in follow-up — reveals which fields to cut or enrich (the core of field-cost analysis)
Current completion rate + where users abandon — baseline and the specific friction point to target
Compliance requirements — GDPR/HIPAA fields that cannot be removed (constrains the field reduction)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the audit.

Initial Assessment

Required Context

Question	Why It Matters
What type of form? (lead capture, contact, demo, application, checkout)	Different types have different optimal field counts
How many fields currently?	Establishes baseline friction level
What is the current completion rate?	Benchmark for improvement
Where do users abandon? (if field-level analytics exist)	Identifies the specific friction point
Mobile vs desktop split?	Mobile forms need separate optimization
What happens with submitted data?	Determines which fields are truly necessary
Which fields are actually used in follow-up?	Often reveals 30-50% of fields are never used
Any compliance requirements? (GDPR, HIPAA)	Constrains what can be removed

Field-Cost Analysis Framework

Every field has a cost measured in abandonment. The question is not "what data would be nice to have" but "what data is worth the conversion loss."

Field Cost Matrix

Field Type	Estimated Abandonment Cost	Justification Threshold
Email	Baseline (near zero for gated content)	Always justified for lead forms
First name	+2-3% drop	Justified if personalization drives follow-up
Last name	+2-3% drop	Rarely justified for first touch
Phone number	+5-10% drop	Only if sales will call within 24 hours
Company name	+3-5% drop	Justified for B2B qualification
Company size	+3-5% drop	Justified only if routing decisions depend on it
Job title	+3-5% drop	Can often be enriched post-submission
Industry	+2-3% drop	Can often be enriched post-submission
Message/textarea	+5-8% drop	Justified for contact forms, not for lead capture
Budget	+8-12% drop	Only justified for high-intent demo/sales forms
Custom question	+3-5% per question	Must directly affect lead routing or qualification

The Enrichment Test

Before including any field, ask: Can this be enriched after submission?

Field	Enrichable?	Method	Keep in Form?
Company name	Yes (from email domain)	Clearbit, Apollo, manual lookup	Remove
Company size	Yes (from company name)	Enrichment API	Remove
Industry	Yes (from company name)	Enrichment API	Remove
Job title	Partially (from LinkedIn)	Manual enrichment	Remove unless critical for routing
Phone number	No	Must be provided	Keep only if sales calls immediately
Budget	No	Must be stated	Keep only for high-intent forms

Recommended Field Sets by Form Type

Form Type	Minimum Fields	Optimal Fields	Maximum Fields
Newsletter signup	Email	Email	Email + First name
Content download	Email	Email + First name	Email + Name + Company
Contact form	Email + Message	Email + Name + Message	Email + Name + Subject + Message
Demo request	Email + Company	Email + Name + Company + Role	+ Phone + Use case + Team size
Application form	Varies by requirement	--	All required fields (justified individually)

Multi-Step vs Single-Step Decision

Decision Criteria

Factor	Single-Step	Multi-Step
Total fields	< 5 fields	> 5 fields
Field complexity	Simple text inputs	Mix of dropdowns, checkboxes, conditional fields
User motivation	Low-commitment (newsletter, content)	High-commitment (demo, application)
Qualification need	No routing needed	Different paths based on answers
Mobile proportion	< 30% mobile	> 50% mobile

Multi-Step Best Practices

Step structure:

Step 1: Easiest fields (email, name) -- lowest friction to start
Step 2: Qualifying information (company, role, use case)
Step 3: Specific details (budget, timeline, message)

Progress indication:

Show progress bar with step count ("Step 2 of 3")
Show completion percentage
Label each step with what it covers ("Your Details", "Company Info", "Project Details")

Psychological commitment:

Once a user completes Step 1, they are 40-60% more likely to complete the form (sunk cost effect)
Capture the email in Step 1 so you can follow up even if they abandon later

Back navigation:

Always allow users to go back to previous steps
Preserve entered data when navigating between steps
Never reset the form on back navigation

Field Design Patterns

Field Labels

Pattern	When to Use	Example
Above-field labels	Default for most forms	Label sits above the input
Inline labels (floating)	Space-constrained layouts	Label moves from inside to above on focus
Left-aligned labels	Wide desktop forms	Label to the left of field
Placeholder-only labels	Never	Disappears on input, accessibility failure

Field Types

Data Needed	Best Input Type	Avoid
Email	`type="email"` with validation	Plain text input
Phone	`type="tel"` with format mask	Plain text input
Country	Searchable dropdown	Long static dropdown
Company size	Button group (1-10, 11-50, 51-200, 200+)	Free text input
Interest/topic	Checkbox group (max 6 options)	Multi-select dropdown
Message	Textarea (3-4 rows visible)	Single-line text input
Date	Native date picker	Three separate dropdowns

Conditional Fields

Show additional fields based on earlier answers. This reduces visible complexity while capturing necessary data.

Example: "What is your primary goal?" dropdown shows "Budget range" only if they select "Ready to buy" or "Evaluating solutions."

Rules:

Conditional fields appear with smooth animation (not instant jump)
Only 1-2 conditional fields per trigger
Conditional fields are never required (the trigger answer may change)

Validation UX

Real-Time vs Submit-Time Validation

Validation Type	When to Use
Real-time (on blur)	Email format, phone format, required fields
On submit	Complex validation, server-side checks
Inline suggestions	Company name auto-complete, address lookup

Error Message Design

Pattern	Good	Bad
Position	Below the field, in context	Top of form, disconnected
Tone	"Please enter a valid email address"	"Error: Invalid input"
Specificity	"Phone must include area code"	"Invalid phone number"
Color	Red text + red border on field	Red banner at top of page
Icon	Error icon next to message	No visual indicator

Success Indicators

Green checkmark on valid fields (especially email and phone)
Positive microcopy: "Looks good!" on valid email
Do NOT flash green/red on every keystroke -- validate on blur (when user leaves the field)

CTA and Submit Button Optimization

Button Copy Framework

Form Type	Weak Copy	Strong Copy	Strongest Copy
Content download	Submit	Download Guide	Get My Free Guide
Demo request	Submit	Request Demo	Schedule My Demo
Contact form	Send	Send Message	Get in Touch
Newsletter	Subscribe	Join Newsletter	Get Weekly Tips
Free trial	Sign Up	Start Free Trial	Start Building Free

Rules:

Use first person ("Get My..." not "Get Your...")
Specify what they get, not what they do
Include "Free" when applicable
Keep under 5 words

Button Design

Element	Best Practice
Color	High contrast against form background, consistent with brand CTA color
Size	Full-width on mobile, min 44px height for touch targets
Position	Immediately below last field, no gap
Loading state	Show spinner + "Sending..." to prevent double-submit
Disabled state	Disabled until required fields are valid (with clear visual distinction)

Mobile Form Optimization

Mobile-Specific Rules

Rule	Implementation
Touch targets	Minimum 44x44px for all interactive elements
Keyboard types	`type="email"` for email, `type="tel"` for phone, `type="number"` for numeric
Auto-focus	Focus first field on page load (with keyboard open)
Sticky submit	Pin submit button to bottom of viewport on long forms
Input spacing	Minimum 8px between fields to prevent mis-taps
Dropdown alternatives	Use button groups or radio buttons instead of dropdowns on mobile
Auto-fill	Support browser auto-fill for standard fields (name, email, phone, address)

Mobile vs Desktop Form Differences

Aspect	Desktop	Mobile
Layout	1 or 2 columns	Always 1 column
Field count	Up to 8	Max 5 per step
Dropdown	Standard dropdown	Bottom sheet or full-screen picker
Help text	Hover tooltips	Always-visible inline text
Validation	On blur	On blur + on submit summary

Trust and Context Elements

Trust Signals Near Forms

Signal	Placement	Impact
Privacy assurance	Below submit button	"We'll never share your email"
Security badges	Next to form container	SSL, SOC2, GDPR compliance
Testimonial	Adjacent to form	Social proof reduces hesitation
Response time	Below submit button	"We respond within 2 hours"
Subscriber/user count	Above or within form	"Join 10,000+ subscribers"

Context Reinforcement

Element	Purpose	Example
Form header	Remind what they get	"Get your free SEO audit report"
Bullet list above form	Reinforce value	"You'll get: Full site analysis, Priority fix list, 30-min review call"
Expected next step	Set expectations	"After submitting, we'll email your report within 24 hours"

Form Type Playbooks

Lead Capture (Gated Content)

Goal: Maximize completions while capturing qualified leads.

Fields: Email only (or Email + First name maximum)
CTA: Value-specific ("Get My Report", "Download Checklist")
Trust: "No spam, unsubscribe anytime"
Post-submit: Immediate download + thank you page + follow-up email

Demo Request

Goal: Capture qualified prospects ready for sales conversation.

Fields: Email + Name + Company (+ Phone and Team size optional)
CTA: "Schedule My Demo"
Trust: "30-minute call, no commitment"
Post-submit: Calendar booking page or confirmation with scheduling link
Consider: Embedded calendar (Calendly/Cal.com) instead of form

Contact Form

Goal: Enable communication while routing to correct team.

Fields: Email + Name + Subject dropdown + Message
CTA: "Send Message"
Trust: "We respond within [X] hours"
Post-submit: Confirmation with expected response time
Consider: Adding department/topic routing dropdown

Quote Request

Goal: Capture enough detail for accurate quoting.

Fields: Multi-step form with project details
CTA: "Get My Quote"
Trust: "Free quote, no obligation"
Post-submit: Quote delivery timeline + human follow-up

A/B Test Framework

High-Impact Tests (Run First)

Test	Hypothesis	Success Metric
Remove phone field	Removing phone increases completion by 5-10%	Completion rate
Single-step to multi-step	Multi-step increases completion for 6+ field forms	Completion rate + submission quality
CTA copy change	Value-specific copy increases clicks by 10-20%	Click-through rate
Add social proof	Testimonial near form increases trust	Completion rate

Medium-Impact Tests

Test	Hypothesis	Success Metric
Field order change	Easiest fields first increases step-1 completion	Step completion rates
Inline validation	Real-time feedback reduces form errors	Error rate + completion rate
Add progress bar	Visual progress on multi-step increases completion	Completion rate
Embedded calendar vs form	Calendar reduces friction for demo requests	Booking rate

Measurement Rules

Run each test for minimum 2 weeks or 200 conversions per variant (whichever is longer)
Track both quantity (completion rate) and quality (lead score, SQL rate)
A test that increases completions but decreases lead quality is not a win

Metrics and Measurement

Key Metrics

Metric	Formula	Benchmark
Form completion rate	Submissions / Form views	20-40% for lead forms, 5-15% for long forms
Field-level drop-off	Abandonment per field	Identify the highest-drop field
Time to complete	Avg seconds from first interaction to submit	< 60s for simple forms, < 3min for complex
Error rate	Users who see error / total users	< 10%
Mobile completion rate	Mobile submissions / Mobile form views	Should be within 20% of desktop rate

Instrumentation Requirements

Track these events in your analytics:

Form view (impression)
Form interaction (first field focus)
Per-field completion (on blur, per field)
Form submission attempt
Form submission success
Form validation error (per field)

Output Artifacts

Artifact	Format	Description
Form Audit Report	Issue/Impact/Fix/Priority table	Per-field analysis with estimated abandonment cost
Recommended Field Set	Justified list	Required vs optional vs enrichable fields with rationale
Field Layout Specification	Annotated outline	Order, grouping, label style, validation rules, mobile adaptations
CTA Copy Options	3-option table	Button text variants with reasoning and expected impact
A/B Test Plan	Prioritized table	Top 5 tests with hypothesis, variant, metric, and priority
Mobile Optimization Checklist	Checkbox list	Mobile-specific fixes with implementation notes

Related Skills

signup-flow-cro -- Use when the form is an account creation or trial registration flow. Form-cro is for lead capture, contact, and demo forms.
popup-cro -- Use when the form lives inside a modal or popup. Form-cro handles the form itself; popup-cro handles the trigger, timing, and container.
page-cro -- Use when the page surrounding the form needs optimization (headline, value prop, layout).
onboarding-cro -- Use when post-form-submission activation is the bottleneck, not the form itself.

Tool Reference

1. form_scorer.py

Purpose: Score a form against CRO best practices across field count, field types, CTA quality, mobile readiness, and trust signals.

python scripts/form_scorer.py form_config.json
python scripts/form_scorer.py form_config.json --json

Flag	Required	Description
`form_config.json`	Yes	JSON file with form fields, CTA, and context metadata
`--json`	No	Output results as JSON

2. field_cost_analyzer.py

Purpose: Calculate the estimated abandonment cost of each form field and recommend fields to remove, keep, or make enrichable.

python scripts/field_cost_analyzer.py form_fields.json
python scripts/field_cost_analyzer.py form_fields.json --json

Flag	Required	Description
`form_fields.json`	Yes	JSON file with form fields and their types
`--json`	No	Output results as JSON
`--monthly-visitors`	No	Monthly form visitors for dollar impact estimate (default: 1000)
`--current-rate`	No	Current form completion rate as percentage (default: 25)
`--value-per-lead`	No	Dollar value per lead for ROI calculation (default: 50)

3. ab_test_calculator.py

Purpose: Calculate A/B test sample size, duration, and statistical significance for form optimization experiments.

python scripts/ab_test_calculator.py --baseline 25 --lift 10 --traffic 500
python scripts/ab_test_calculator.py --baseline 25 --lift 10 --traffic 500 --json

Flag	Required	Description
`--baseline`	Yes	Current conversion rate as percentage (e.g., 25 for 25%)
`--lift`	Yes	Minimum detectable lift as percentage (e.g., 10 for 10% relative lift)
`--traffic`	Yes	Daily traffic (visitors per day to the form)
`--confidence`	No	Confidence level as percentage (default: 95)
`--json`	No	Output results as JSON

Troubleshooting

Problem	Likely Cause	Solution
Form completion rate below 15%	Too many fields or high-friction fields present	Run field_cost_analyzer.py to identify and remove high-cost fields; target email-only for first-touch lead forms
Mobile completion rate 50%+ lower than desktop	Form not optimized for touch input	Ensure 44px touch targets, single-column layout, native keyboard types; replace dropdowns with button groups on mobile
Users start but do not finish the form	Friction in middle fields (phone, budget, message)	Move high-friction fields to later steps in a multi-step form; capture email in step 1
High error rate on email or phone fields	Validation too aggressive or unclear error messages	Validate on blur (not keystroke); use specific error copy ("Please include @ in email") not generic ("Invalid input")
A/B test results are inconclusive after 4 weeks	Insufficient sample size or too small a lift target	Use ab_test_calculator.py to confirm required sample size; consider testing bigger changes (field removal vs copy tweak)
CTA clicks are low despite good page traffic	CTA copy is generic or button is not prominent enough	Replace "Submit" with value-specific copy ("Get My Report"); ensure CTA is full-width on mobile, high-contrast color

Success Criteria

Form completion rate above 25% for lead capture forms (above 35% is excellent)
Mobile completion rate within 20% of desktop rate
Error rate below 10% of form interactions
Field-level drop-off identifies specific friction points with clear remediation
Each form field has documented justification (business need or enrichable post-submission)
A/B tests run for minimum 200 conversions per variant before declaring winner
Post-form-submission follow-up occurs within 24 hours for demo and contact forms

Scope & Limitations

In scope: Form field optimization, CTA copy, validation UX, mobile optimization, trust signal placement, A/B test design, field cost analysis
Out of scope: Page-level CRO (use page-cro), popup trigger optimization (use popup-cro), signup/registration flows (use signup-flow-cro), post-submission nurture sequences
Data dependency: Field-level analytics (per-field drop-off) provide the most actionable data but require analytics instrumentation
Compliance constraint: GDPR/HIPAA may require specific fields that cannot be removed; document compliance requirements before optimizing
Statistical validity: A/B test recommendations require sufficient traffic volume; low-traffic forms may need longer test durations or alternative evaluation methods

Integration Points

page-cro -- When the form converts well but the surrounding page does not drive form interactions, optimize the page-level elements first
popup-cro -- When the form is inside a popup or modal, trigger timing and container design are handled by popup-cro
signup-flow-cro -- For account creation and registration forms (not lead capture), use signup-flow-cro which handles multi-step auth flows
onboarding-cro -- When post-form-submission activation is the bottleneck, not the form completion rate itself
free-tool-strategy -- Free tools often include lead capture forms; use form-cro to optimize the capture form within the tool

Form Cro

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