Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
scripts/brand_voice_analyzer.py on existing content to establish baselinereferences/brand_guidelines.md to select voice attributesreferences/content_frameworks.mdscripts/seo_optimizer.py [file] [primary-keyword] to optimizereferences/social_media_optimization.mdreferences/content_frameworks.mdassets/content_calendar_template.mdWhen creating content for a new brand or client:
Analyze Existing Content (if available)
python scripts/brand_voice_analyzer.py existing_content.txt
Define Voice Attributes
references/brand_guidelines.mdCreate Voice Sample
Keyword Research
Content Structure
references/content_frameworks.mdOptimization Check
python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"
Apply SEO Recommendations
Platform Selection
references/social_media_optimization.mdContent Adaptation
references/content_frameworks.mdOptimization Checklist
Monthly Planning
assets/content_calendar_template.mdWeekly Distribution
Batch Creation
Analyzes text content for voice characteristics, readability, and consistency.
Usage: python scripts/brand_voice_analyzer.py <file> [json|text]
Returns:
Analyzes content for SEO optimization and provides actionable recommendations.
Usage: python scripts/seo_optimizer.py <file> [primary_keyword] [secondary_keywords]
Returns:
references/brand_guidelines.md
references/content_frameworks.md
references/social_media_optimization.md
Track these KPIs for content success:
This skill works best with:
# Analyze brand voice
python scripts/brand_voice_analyzer.py content.txt
# Optimize for SEO
python scripts/seo_optimizer.py article.md "main keyword"
# Check content against brand guidelines
grep -f references/brand_guidelines.md content.txt
# Create monthly calendar
cp assets/content_calendar_template.md this_month_calendar.md
Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/content-creator · pinned to the source commit
# Run from your project root
git clone https://github.com/davila7/claude-code-templates.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cc17cf267132cc690dee82239b80a99ec82e4f8
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/cli-tool/components/skills/business-marketing/content-creator" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/davila7/claude-code-templates.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cc17cf267132cc690dee82239b80a99ec82e4f8
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/cli-tool/components/skills/business-marketing/content-creator" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/content-creator
Scanner static-checks@0.1.0 · commit 5cc17cf26713. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.