content-creator

davila7/claude-code-templates · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/davila7/claude-code-templates --skill content-creator
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summary

SEO-optimized content creation with brand voice consistency, frameworks, and social media templates.

  • Includes brand voice analyzer and SEO optimizer scripts to establish voice attributes, measure consistency, and improve keyword targeting across content types
  • Provides content frameworks for blog posts, social media, and repurposing strategies, plus platform-specific optimization guidelines for major social channels
  • Covers full workflow from keyword research and outline creation throu
skill.md

Content Creator

Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.

Keywords

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

Quick Start

For Brand Voice Development

  1. Run scripts/brand_voice_analyzer.py on existing content to establish baseline
  2. Review references/brand_guidelines.md to select voice attributes
  3. Apply chosen voice consistently across all content

For Blog Content Creation

  1. Choose template from references/content_frameworks.md
  2. Research keywords for topic
  3. Write content following template structure
  4. Run scripts/seo_optimizer.py [file] [primary-keyword] to optimize
  5. Apply recommendations before publishing

For Social Media Content

  1. Review platform best practices in references/social_media_optimization.md
  2. Use appropriate template from references/content_frameworks.md
  3. Optimize based on platform-specific guidelines
  4. Schedule using assets/content_calendar_template.md

Core Workflows

Establishing Brand Voice (First Time Setup)

When creating content for a new brand or client:

  1. Analyze Existing Content (if available)

    python scripts/brand_voice_analyzer.py existing_content.txt
    
  2. Define Voice Attributes

    • Review brand personality archetypes in references/brand_guidelines.md
    • Select primary and secondary archetypes
    • Choose 3-5 tone attributes
    • Document in brand guidelines
  3. Create Voice Sample

    • Write 3 sample pieces in chosen voice
    • Test consistency using analyzer
    • Refine based on results

Creating SEO-Optimized Blog Posts

  1. Keyword Research

    • Identify primary keyword (search volume 500-5000/month)
    • Find 3-5 secondary keywords
    • List 10-15 LSI keywords
  2. Content Structure

    • Use blog template from references/content_frameworks.md
    • Include keyword in title, first paragraph, and 2-3 H2s
    • Aim for 1,500-2,500 words for comprehensive coverage
  3. Optimization Check

    python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"
    
  4. Apply SEO Recommendations

    • Adjust keyword density to 1-3%
    • Ensure proper heading structure
    • Add internal and external links
    • Optimize meta description

Social Media Content Creation

  1. Platform Selection

    • Identify primary platforms based on audience
    • Review platform-specific guidelines in references/social_media_optimization.md
  2. Content Adaptation

    • Start with blog post or core message
    • Use repurposing matrix from references/content_frameworks.md
    • Adapt for each platform following templates
  3. Optimization Checklist

    • Platform-appropriate length
    • Optimal posting time
    • Correct image dimensions
    • Platform-specific hashtags
    • Engagement elements (polls, questions)

Content Calendar Planning

  1. Monthly Planning

    • Copy assets/content_calendar_template.md
    • Set monthly goals and KPIs
    • Identify key campaigns/themes
  2. Weekly Distribution

    • Follow 40/25/25/10 content pillar ratio
    • Balance platforms throughout week
    • Align with optimal posting times
  3. Batch Creation

    • Create all weekly content in one session
    • Maintain consistent voice across pieces
    • Prepare all visual assets together

Key Scripts

brand_voice_analyzer.py

Analyzes text content for voice characteristics, readability, and consistency.

Usage: python scripts/brand_voice_analyzer.py <file> [json|text]

Returns:

  • Voice profile (formality, tone, perspective)
  • Readability score
  • Sentence structure analysis
  • Improvement recommendations

seo_optimizer.py

Analyzes content for SEO optimization and provides actionable recommendations.

Usage: python scripts/seo_optimizer.py <file> [primary_keyword] [secondary_keywords]

Returns:

  • SEO score (0-100)
  • Keyword density analysis
  • Structure assessment
  • Meta tag suggestions
  • Specific optimization recommendations

Reference Guides

When to Use Each Reference

references/brand_guidelines.md

  • Setting up new brand voice
  • Ensuring consistency across content
  • Training new team members
  • Resolving voice/tone questions

references/content_frameworks.md

  • Starting any new content piece
  • Structuring different content types
  • Creating content templates
  • Planning content repurposing

references/social_media_optimization.md

  • Platform-specific optimization
  • Hashtag strategy development
  • Understanding algorithm factors
  • Setting up analytics tracking

Best Practices

Content Creation Process

  1. Always start with audience need/pain point
  2. Research before writing
  3. Create outline using templates
  4. Write first draft without editing
  5. Optimize for SEO
  6. Edit for brand voice
  7. Proofread and fact-check
  8. Optimize for platform
  9. Schedule strategically

Quality Indicators

  • SEO score above 75/100
  • Readability appropriate for audience
  • Consistent brand voice throughout
  • Clear value proposition
  • Actionable takeaways
  • Proper visual formatting
  • Platform-optimized

Common Pitfalls to Avoid

  • Writing before researching keywords
  • Ignoring platform-specific requirements
  • Inconsistent brand voice
  • Over-optimizing for SEO (keyword stuffing)
  • Missing clear CTAs
  • Publishing without proofreading
  • Ignoring analytics feedback

Performance Metrics

Track these KPIs for content success:

Content Metrics

  • Organic traffic growth
  • Average time on page
  • Bounce rate
  • Social shares
  • Backlinks earned

Engagement Metrics

  • Comments and discussions
  • Email click-through rates
  • Social media engagement rate
  • Content downloads
  • Form submissions

Business Metrics

  • Leads generated
  • Conversion rate
  • Customer acquisition cost
  • Revenue attribution
  • ROI per content piece

Integration Points

This skill works best with:

  • Analytics platforms (Google Analytics, social media insights)
  • SEO tools (for keyword research)
  • Design tools (for visual content)
  • Scheduling platforms (for content distribution)
  • Email marketing systems (for newsletter content)

Quick Commands

# 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
how to use content-creator

How to use content-creator on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add content-creator
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill content-creator

The skills CLI fetches content-creator from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/content-creator

Reload or restart Cursor to activate content-creator. Access the skill through slash commands (e.g., /content-creator) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.554 reviews
  • Noah Harris· Dec 24, 2024

    content-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Olivia Garcia· Dec 12, 2024

    Solid pick for teams standardizing on skills: content-creator is focused, and the summary matches what you get after install.

  • Advait Khanna· Dec 8, 2024

    Registry listing for content-creator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mateo Bhatia· Nov 27, 2024

    Useful defaults in content-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Advait Desai· Nov 19, 2024

    Keeps context tight: content-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Olivia Zhang· Nov 15, 2024

    content-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Nov 11, 2024

    content-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Noah Gill· Nov 3, 2024

    We added content-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Noah Robinson· Oct 22, 2024

    content-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Martinez· Oct 18, 2024

    I recommend content-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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