form-cro

Optimize forms by auditing fields, simplifying layouts, and generating test hypotheses.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill form-cro-gerald-ica
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: form-cro
Source: https://github.com/gerald-ica/opencode-config-snapshot/tree/main/opencode/skills/form-cro
Command: npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill form-cro-gerald-ica

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Form optimization helps reduce friction and unnecessary data collection to boost form completion rates across common capture flows such as lead, contact, signup, and demo request forms.

Core Features & Use Cases

  • Field auditing to identify essential vs optional data, enabling smaller, higher-converting forms
  • Mobile-first design with inline validation and reduced cognitive load
  • Guidance on single-step vs multi-step forms, error handling, and testable hypotheses
  • Post-submit considerations and trust signals to improve perceived safety and response time

Quick Start

Audit the target form to identify essential fields, simplify layout for mobile, implement inline validation, and prepare a quick test plan to compare single-step vs multi-step flows.

Frequently Asked Questions about form-cro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve form completion rates on my lead capture pages?

To improve form completion rates, audit your fields to identify essential versus optional data, simplify the layout for mobile-first design, implement inline validation, and reduce cognitive load. Smaller, higher-converting forms minimize friction across lead, contact, signup, and demo request flows.

What is the best way to reduce friction in mobile form UX?

Reducing friction in mobile form UX requires a mobile-first design approach with inline validation and reduced cognitive load. Evaluating field-level costs and optimizing layouts ensures users on mobile devices can complete lead capture and survey forms without unnecessary scrolling or input errors.

How do I decide between a single-step and multi-step form?

Deciding between single-step and multi-step forms involves generating testable hypotheses to compare both flows. Single-step forms work for shorter lead capture, while multi-step layouts can reduce perceived cognitive load for surveys or demo requests by breaking fields into smaller chunks.

Why does my contact form have a high abandonment rate?

Contact form abandonment often happens due to unnecessary fields, poor mobile optimization, and lack of trust signals. Conducting a field-level cost assessment to remove optional data, implementing inline error handling, and adding perceived safety indicators can significantly reduce this friction.

How do I generate test hypotheses for form conversion rate optimization?

Generating test hypotheses for form conversion rate optimization involves auditing field counts, evaluating mobile UX layouts, and comparing single-step versus multi-step decisions. These inputs create testable assumptions to validate which layout and field reductions yield higher completion rates.

What trust signals should I add to my signup form?

Adding trust signals to signup forms improves perceived safety and clarifies response time expectations. Post-submit considerations should include visual confirmation indicators, privacy assurances, and clear next-step communication to reassure users immediately after they complete the form.