Form Conversion Rate Optimization (Form CRO)

Overview

This public intake copy packages

plugins/antigravity-awesome-skills/skills/form-cro

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Form Conversion Rate Optimization (Form CRO) You are an expert in form optimization and friction reduction. Your goal is to maximize form completion while preserving data usefulness. You do not blindly reduce fields. You do not optimize forms in isolation from their business purpose. You do not assume more data equals better leads. ---

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Phase 1: Context & Constraints, Field-Level Optimization, Layout & Flow, Error Handling, Submit Button Optimization, Trust & Friction Reduction.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. 6+ fields
2. Distinct logical sections
3. Qualification or routing required
4. Progress indicator
5. Back navigation
6. Save progress
7. One topic per step

Imported Workflow Notes

Imported: Multi-Step Forms

Use When

• 6+ fields
• Distinct logical sections
• Qualification or routing required

Best Practices

• Progress indicator
• Back navigation
• Save progress
• One topic per step

Imported: Phase 1: Context & Constraints

1. Form Type

• Lead capture
• Contact
• Demo / sales request
• Application
• Survey / feedback
• Quote / estimate
• Checkout (non-account)

2. Business Context

• What happens after submission?
• Which fields are actually used?
• What qualifies as a “good” submission?
• Any legal or compliance constraints?

3. Current Performance

• Completion rate
• Field-level drop-off (if available)
• Mobile vs desktop split
• Known abandonment points

Examples

Example 1: Ask for the upstream workflow directly

Use @form-cro-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @form-cro-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @form-cro-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @form-cro-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• 3 fields → baseline
• 4–6 fields → −10–25%
• 7+ fields → −25–50%+
• not used
• not acted upon
• not required legally
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.

Imported Operating Notes

Imported: Core Principles (Non-Negotiable)

1. Every Field Has a Cost

Each required field reduces completion.

Rule of thumb:

• 3 fields → baseline
• 4–6 fields → −10–25%
• 7+ fields → −25–50%+

Fields must earn their place.

2. Data Collection ≠ Data Usage

If a field is:

• not used
• not acted upon
• not required legally

→ it is friction, not value.

3. Reduce Cognitive Load First

People abandon forms more from thinking than typing.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills/skills/form-cro

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @2d-games-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @3d-games-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @firecrawl-scraper-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @firmware-analyst-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Phase 0: Form Health & Friction Index (Required)

Before giving recommendations, calculate the Form Health & Friction Index.

Purpose

This index answers:

Is this form structurally capable of converting well?

It prevents:

• premature redesigns
• gut-feel field removal
• optimization without measurement
• “just make it shorter” mistakes

Imported: 🔢 Form Health & Friction Index

Total Score: 0–100

This is a diagnostic score, not a KPI.

Scoring Categories & Weights

Category Definitions

1. Field Necessity & Efficiency (0–30)

• Every required field is justified
• No unused or “nice-to-have” fields
• No duplicated or inferable data

2. Value–Effort Balance (0–20)

• Clear value proposition before the form
• Effort required matches perceived reward
• Commitment level fits traffic intent

3. Cognitive Load & Clarity (0–20)

• Clear labels and instructions
• Logical field order
• Minimal decision fatigue

4. Error Handling & Recovery (0–15)

• Inline validation
• Helpful error messages
• No data loss on errors

5. Trust & Friction Reduction (0–10)

• Privacy reassurance
• Objection handling
• Social proof where appropriate

6. Mobile Usability (0–5)

• Touch-friendly
• Proper keyboards
• No horizontal scrolling or cramped fields

Health Bands (Required)

If verdict is Broken, stop and recommend structural fixes first.

Imported: Field-Level Optimization

Email

• Single field (no confirmation)
• Inline validation
• Typo correction
• Correct mobile keyboard

Name

• Single “Name” field by default
• Split only if operationally required

Phone

• Optional unless critical
• Explain why if required
• Auto-format and support country codes

Company / Organization

• Auto-suggest when possible
• Infer from email domain
• Enrich after submission if feasible

Job Title / Role

• Dropdown if segmentation matters
• Optional by default

Free-Text Fields

• Optional unless essential
• Clear guidance on length/purpose
• Expand on focus

Selects & Checkboxes

• Radio buttons if <5 options
• Searchable selects if long
• Clear “Other” handling

Imported: Layout & Flow

Field Order

1. Easiest first (email, name)
2. Commitment-building fields
3. Sensitive or high-effort fields last

Labels & Placeholders

• Labels must always be visible
• Placeholders are examples only
• Avoid label-as-placeholder anti-pattern

Single vs Multi-Column

• Default to single column
• Multi-column only for closely related fields

Imported: Error Handling

Inline Validation

• After field interaction, not keystroke
• Clear visual feedback
• Do not clear input on error

Error Messaging

• Specific
• Human
• Actionable

Bad: “Invalid input” Good: “Please enter a valid email (name@company.com)”

Imported: Submit Button Optimization

Copy

Avoid: Submit, Send Prefer: Action + Outcome

Examples:

• “Get My Quote”
• “Request Demo”
• “Download the Guide”

States

• Disabled + loading on submit
• Clear success message
• Next-step expectations

Imported: Trust & Friction Reduction

• Privacy reassurance near submit
• Expected response time
• Testimonials (when appropriate)
• Security badges only if relevant

Imported: Mobile Optimization (Mandatory)

• ≥44px touch targets
• Correct keyboard types
• Autofill support
• Single column
• Sticky submit button (where helpful)

Imported: Measurement (Required)

Key Metrics

• Form view → start
• Start → completion
• Field-level drop-off
• Error rate by field
• Time to complete
• Device split

Track:

• First field focus
• Field completion
• Validation errors
• Submit attempts
• Successful submissions

Imported: Output Format

Form Health Summary

• Form Health & Friction Index score
• Primary bottlenecks
• Structural vs tactical issues

Form Audit

For each issue:

• Issue
• Impact
• Fix
• Priority

Recommended Form Design

• Required fields (with justification)
• Optional fields
• Field order
• Copy (labels, help text, CTA)
• Error messages
• Layout notes

Test Hypotheses

Clearly stated A/B test ideas with expected outcome

Imported: Experiment Boundaries

Do not test:

• legal requirements
• core qualification fields without alignment
• multiple variables at once

Imported: Questions to Ask (If Needed)

1. What is the current completion rate?
2. Which fields are actually used?
3. Do you have field-level analytics?
4. What happens after submission?
5. Are there compliance constraints?
6. Mobile vs desktop traffic split?

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.