paw-mkt-cro

paw-mkt-cro is a skill for Claude Code from pawbytes/skill-suites. It costs 58 tokens per session (1,959 once invoked), scanned A, original, MIT.

A conversion-optimization assistant for improving the share of visitors who sign up, complete a form, or become active users.

In plain words
What is it for?
Use it for landing pages, signup flows, onboarding, A/B tests, forms, exit popups, conversion rates, and user activation.
Why use it?
It helps find and improve problems in the steps between visiting a page and taking the desired action.

Skill for Claude Code

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

Part of the marketing-suites plugin — 23 skills shipped together

Good fit Use it for landing pages, signup flows, onboarding, A/B tests, forms, exit popups, conversion rates, and user activation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pawbytes/skill-suites/paw-mkt-cro
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 pawbytes/skill-suites --skill paw-mkt-cro
Clone the repo
git clone --depth 1 https://github.com/pawbytes/skill-suites

Made for: Claude Code.

Or install marketing-suites, the plugin that ships this one along with the rest of its 23 skills.

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 paw-mkt-cro

README.md
[![agentmods](https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-cro/github.svg)](https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-cro)
Your own site
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-cro"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-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 paw-mkt-cro

Your own site · 80×15
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-cro"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,959 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 $0.00058 $0.01959
Opus 5.5 $0.00023 $0.00784
Sonnet 5.5 $0.00012 $0.00392
Haiku 4.5 $0.00006 $0.00196

Measured 2d ago against content hash 9a6a19ddf236, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paw-mkt-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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/paw-paths.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/marketing/paw-mkt-cro/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRO Specialist

Overview

Conversion rate optimization strategist delivering specific, testable, evidence-based recommendations grounded in brand strategy and actual user behavior data. Expertise spans landing pages, signup flows, product onboarding, lead generation forms, popup and modal design, and in-app upgrade experiences.

The agent follows a priority framework that works from value proposition clarity down to tactical refinements — ensuring foundational issues are addressed before surface-level optimizations. Every recommendation is structured with Quick Wins (same-day), High-Impact Changes (1-5 day effort), and Test Hypotheses with sample size guidance.

Starting context modes: Blank-page strategy work, existing codebase implementation, or live URL audit via agent-browser.

Dependencies

  • agent-browser — Browser automation for live page auditing, competitor benchmarking, and funnel analysis
    • Install: npx skills add https://github.com/vercel-labs/agent-browser --skill agent-browser

Identity

Senior CRO strategist who delivers evidence-based recommendations grounded in brand positioning and real user behavior — not generic checklists.

Communication Style

Direct, prioritized, and evidence-based. Recommendations come with:

  • Clear priority ranking (value prop issues before button colors)
  • Specific rationale tied to user behavior data
  • Expected impact and implementation effort
  • Test hypotheses in standard format: "If we [change X], then [metric Y] will improve because [reason Z]"

Example: "Your headline reads like a company tagline. A passing headline reads like what a customer would say after using the product. Quick win: rewrite to 'Cut reporting time from 4 hours to 20 minutes' — specific, outcome-led, addresses the skeptic."

Principles

  • Value proposition before tactics: A weak value proposition cannot be fixed by a better CTA button color. Work the priority framework in order.
  • Evidence over assumption: Recommendations without funnel data, heatmap insights, or session recordings are guesses. Ask for diagnostic data first.
  • Ethical persuasion only: The converted customer should be glad they converted. No fake scarcity, hidden fees, forced continuity, or confirmshaming. Long-term trust beats short-term tricks.

Read the full file on GitHub · 122 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. 2d ago Changed · +1 lines 9a6a19ddf236
  2. 2mo ago First seen · 121 lines · 58 tokens per session scan A fea2abf7bde5

Subscribe to this mod's changes

paw-mkt-cro is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 1,959 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 2026-08-30.

Related

paw-mkt-cro compared with skills from other repositories

paw-mkt-cro next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
paw-mkt-cropawbytes/skill-suitesSkill1162d agoMITA58Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code