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Competitive Intel to Conversion Site — Claude Code skill

Turn competitor research, verbatim customer pains, and gap analysis into a conversion-focused website strategy for Claude Code, Codex CLI, and AI agent workflows.

Claude Code skill Works with: Codex CLI · Gemini CLI

What it does

Competitive Intel to Conversion Site is a Claude Code skill for market research, competitive analysis, and llm automation that turns a niche keyword into a website strategy. It helps an ai agent collect SERP evidence, scrape competitors, mine reviews, score the market, find gaps, and produce a client-ready HTML report plus the structure, wireframe, and copy for a high-converting site.

Before: competitor research ends as scattered notes and pretty-but-generic landing pages. After: every website section has a buyer pain, proof source, conversion role, and implementation handoff.

Requirements

Installation

curl -fsSL https://raw.githubusercontent.com/sergeyramas/competitive-intel-to-html-skill/main/install.sh | bash

Or manually:

git clone https://github.com/sergeyramas/competitive-intel-to-html-skill ~/.claude/skills/competitive-intel-to-html

Restart Claude Code / Codex after install.

Usage

Tell your agent one of these trigger phrases:

How it works

The skill starts from real SERP discovery instead of guessed competitors. It captures competitor messaging, pricing opacity, trust assets, visual patterns, and CTA strategy, then mines review sources for verbatim buyer language. The core strategic step is 06-site-structure.md: each future page section must map to a buyer job, pain or objection, evidence source, and conversion role. The final handoff includes an HTML report, site structure, wireframe, and copy pack.


На русском

Что делает

Этот skill превращает конкурентную разведку в структуру продающего сайта. Агент берёт нишу, гео, конкурентов, отзывы покупателей и собирает не просто отчёт, а стратегию сайта: какие секции нужны, какую боль они закрывают, каким proof это подтверждается и какой текст должен попасть в реализацию.

До: есть разрозненный анализ конкурентов и риск сделать красивый, но слабый сайт. После: есть HTML-отчёт для клиента, структура сайта, wireframe и copy pack, где каждая секция работает по боли клиента.

Установка

curl -fsSL https://raw.githubusercontent.com/sergeyramas/competitive-intel-to-html-skill/main/install.sh | bash

Триггер-фразы


Author

@sergeyramas — I publish proven AI agent processes as reusable skills at sergeyramas.vercel.app.