content-creator

Analyze content marketing assets for brand voice and SEO with Python scripts.

97|18|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/thatrebeccarae/claude-marketing --skill content-creator-thatrebeccarae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-creator
Source: https://github.com/thatrebeccarae/claude-marketing/tree/main/skills/content-creator
Command: npx skills add https://github.com/thatrebeccarae/claude-marketing --skill content-creator-thatrebeccarae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Content teams struggle to maintain a consistent brand voice while producing optimized, platform-ready content across blogs, social media, and calendars.

Core Features & Use Cases

  • Brand Voice Development: analyze and define voice attributes, then apply consistently across content.
  • SEO and Readability: generate SEO-optimized blog posts and meta guidance using included scripts.
  • Multi-Platform Planning: design and plan content calendars and repurpose content for LinkedIn, Twitter, and newsletters.

Quick Start

Analyze a draft content piece with brand_voice_analyzer.py to generate a brand voice profile and actionable recommendations.

Frequently Asked Questions about content-creator

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

FAQPage Schema
How do I analyze and maintain brand voice consistency across blog and social media content?

You can analyze brand voice consistency by running draft content through the brand_voice_analyzer.py script to generate a voice profile and actionable recommendations for unified messaging. This defines your voice attributes and applies them across multi-channel formats.

What's the best way to generate SEO-optimized blog posts with readability and structure guidance?

Generating SEO-optimized blog posts is handled by the seo_optimizer.py script, which analyzes keyword usage, readability, and structure. It outputs actionable meta guidance and content recommendations to improve search performance.

Can I plan content calendars and repurpose assets for LinkedIn, Twitter, and newsletters?

Multi-platform planning is supported natively. You can design content calendars and repurpose existing marketing assets into platform-ready formats specifically tailored for LinkedIn, Twitter, and newsletter distribution.

Do I need Python to use the content-creator Skill for content marketing automation?

Yes, Python is required. The Skill's advanced implementation relies on executable Python scripts, specifically brand_voice_analyzer.py and seo_optimizer.py, to perform automated analysis and optimization tasks.

How does automated SEO analysis handle keyword usage and meta guidance for content assets?

Automated SEO analysis evaluates your content against requirements for keyword usage, readability, and document structure. It then generates optimization recommendations and meta guidance to ensure your blog posts meet search performance standards.

What are the limitations of using automated scripts for multi-channel content repurposing?

While the executable scripts analyze and repurpose content for multiple channels, they require Python execution and operate as standalone scripts. Complex campaign workflows may need manual integration to align all platform-ready outputs.