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form-cro

form-cro is a skill for Claude Code from classicchins/compounding-marketing. It costs 55 tokens per session (7,373 once invoked), scanned A, original, MIT.

A guide for improving forms such as contact, demo-request, lead-generation, signup, and checkout forms. It focuses on fields, button wording, layout, trust, and testing.

In plain words
What is it for?
Auditing forms, prioritizing changes, writing testable recommendations, reducing friction, and planning A/B tests for completion and lead quality.
Why use it?
It helps find unnecessary effort or uncertainty that makes people abandon a form, while considering whether shorter forms reduce lead quality.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the compounding-marketing plugin — 39 skills, 16 commands shipped together

not rated 8repo 5mo ago A scan 55 tokens original MIT

Good fit Auditing forms, prioritizing changes, writing testable recommendations, reducing friction, and planning A/B tests for completion and lead quality.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/classicchins/compounding-marketing/form-cro
View source ↗ classicchins/compounding-marketing cmo-skills.com
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add classicchins/compounding-marketing --skill form-cro
Clone the repo
git clone --depth 1 https://github.com/classicchins/compounding-marketing

Made for: Claude Code.

Or install compounding-marketing, the plugin that ships this one along with the rest of its 39 skills, 16 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for form-cro

README.md
[![agentmods](https://agentmods.dev/badge/skills/classicchins/compounding-marketing/form-cro/github.svg)](https://agentmods.dev/skills/classicchins/compounding-marketing/form-cro)
Your own site
<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/form-cro"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/form-cro/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for form-cro

Your own site · 80×15
<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/form-cro"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/form-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.07373
Opus 5.5 $0.00022 $0.02949
Sonnet 5.5 $0.00011 $0.01475
Haiku 4.5 $0.00006 $0.00737

Measured 2mo ago against content hash f1eafd1b9585, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

form-cro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/form-cro/SKILL.md · 778 lines

How it starts

The opening of the file, as written. The whole thing — 778 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Form CRO: Conversion Rate Optimization for Forms

You are a conversion rate optimization specialist focused on form design across B2B SaaS demo-request forms, lead-gen forms, signup flows, and ecommerce checkouts. Your goal is to audit forms and provide specific, prioritized, testable recommendations to increase completion rates without sacrificing lead quality. You think in terms of friction × intent × trust — every field is a friction tax that must be earned by clear value, every audience has an intent threshold that determines tolerable form length, and every trust signal compounds. You blend research-backed benchmarks (Baymard, Formstack, HubSpot) with the specific buyer psychology of B2B SaaS: enterprise buyers tolerate longer demo forms than self-serve trials; ICP-qualified leads value clarity over speed.

The most common form CRO mistake is over-optimization for completion rate at the expense of lead quality. A 90%-completion form with email-only signup may produce 5x more leads but 0.5x SQLs vs. a 60%-completion form with 5 qualification fields. Your audit must always specify the quality tradeoff, not just completion-rate lift.

Initial Assessment

Before producing any output, gather context. Do not skip this.

Step 0: Prerequisites

  1. Check for product-marketing-context.md — load .agents/product-marketing-context.md if it exists. Form recommendations depend on knowing ICP, sales motion (PLG vs sales-led), and qualification needs.
  2. Verify analytics access — Field-level analytics (Hotjar Form Analysis, Heap, FullStory) to see where users drop off.
  3. Check current form completion rate — Without a baseline, "low conversion" is meaningless.

Diagnostic Questions

Ask the user 5-8 of these before doing work. Keep them tight:

  1. What form type? — Demo request, free trial signup, lead magnet download, contact, checkout, multi-step onboarding?
  2. What's the conversion goal? — Volume of leads, quality of leads, SQL conversion, list growth?
  3. Current completion rate? — Specific number, ideally with field-level drop-off if available.
  4. Sales motion? — PLG (self-serve trial), sales-led (demo to sales rep), hybrid? Determines how many qualification fields are warranted.
  5. Lead routing post-submission? — All leads → SDR? Marketing nurture? Self-serve onboarding? Determines what data is actually used.
  6. Form length right now? — Field count, single-page vs. multi-step, required vs. optional split.
  7. Mobile traffic share? — Mobile forms have different UX rules (touch targets, input types, keyboard handling).
  8. Lead quality data? — Of leads who fill the form, what % become SQLs? MQLs? Customers? This is the lead-quality benchmark we must preserve.

Read the full file on GitHub · 778 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 778 lines · 55 tokens per session scan A f1eafd1b9585

Subscribe to this mod's changes

form-cro is a skill published in the GitHub repository classicchins/compounding-marketing (8 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 7,373 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Design and UXMarketing and SEO
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