General

content-structure-analyzer - Claude MCP Skill

Analyzes raw content structure and provides detailed recommendations for blog post organization

SEO Guide: Enhance your AI agent with the content-structure-analyzer tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to analyzes raw content structure and provides detailed recommendations for blog post organization... Download and configure this skill to unlock new capabilities for your AI workflow.

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SKILL.md
# Content Structure Analyzer Skill

This skill analyzes raw, unstructured content and creates detailed structural assessments and improvement recommendations.

## Input Parameters:
  - raw_content: The unstructured text to analyze

- target_format: Desired output format blog_post, article, tutorial, etc.

- target_length: Desired word count range

## Process:
  1. Content Parsing: Break down the raw content into key concepts and ideas

2. Theme Identification: Identify main themes, sub-topics, and supporting points

3. Structure Assessment: Evaluate current organization and flow

4. Gap Analysis: Identify missing information or weak connections

5. Recommendation Generation: Suggest specific structural improvements

## Output Format:
  ## Content Analysis Summary

- Main Theme: [Primary topic/message]

- Key Points: [List of main ideas]

- Current Structure: [Assessment of existing organization]

- Strengths: [What works well]

- Weaknesses: [Areas needing improvement]

## Recommended Structure

1. Introduction: [Suggested opening approach]

2. Main Sections: [Proposed section breakdown]

3. Conclusion: [Suggested closing approach]

## Improvement Recommendations- [Specific suggestions for enhancement]- [Areas needing more detail]- [Sections to consolidate or remove]

## Estimated Reading Time: [X minutes]This skill works best when combined with the Blog Copy Editor persona for comprehensive content transformation.

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Information

Repository
mickdarling/dollhouse-portfolio
Author
mickdarling
Last Sync
1/14/2026
Repo Updated
10/25/2025
Created
1/13/2026

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