content-analysis

majiayu000's avatarfrom majiayu000

Analyze any text content including meeting notes, emails, book excerpts, or generic text files. Use when the user wants to analyze content that doesn't fit YouTube, article, or paper categories, or mentions notes, documents, or generic analysis.

⭐5stars🔀1forks📁View on GitHub🕐Updated Jan 11, 2026

When & Why to Use This Skill

This Claude skill provides a comprehensive automated workflow for analyzing diverse text formats including meeting notes, emails, and book excerpts. It streamlines knowledge management by transforming raw text files into structured, categorized reports, complete with automated file organization and activity logging for enhanced productivity.

Use Cases

  • Meeting Productivity: Convert raw meeting notes into structured reports with clear action items, titles, and categorized summaries.
  • Information Synthesis: Analyze long-form content such as book chapters or complex email threads to extract key insights and maintain a searchable archive.
  • Automated Documentation: Streamline the process of reading local text files and generating standardized reports saved directly to a structured directory system.
  • Knowledge Base Organization: Automatically maintain an activity log of all analyzed content, ensuring a chronological and categorized record of research and documents.
namecontent-analysis
descriptionAnalyze any text content including meeting notes, emails, book excerpts, or generic text files. Use when the user wants to analyze content that doesn't fit YouTube, article, or paper categories, or mentions notes, documents, or generic analysis.

Generic Content Analysis

Analyze any text content and generate a structured report.

When to Use

Activate this skill when the user:

  • Wants to analyze content that isn't a YouTube transcript, web article, or arXiv paper
  • Mentions "notes", "meeting notes", "email", "document", "book", "chapter"
  • Has a text file they want analyzed but doesn't specify a category
  • Asks for generic analysis of some content

Instructions

  1. Get the file path - Ask the user for the file path if not provided
  2. Read the content file at the path provided
  3. If file not found:
    • Inform user: "File not found at [path]"
    • Suggest checking the path
    • Stop here
  4. Ask the user for:
    • A title for this content
    • Category: video, article, paper, or other
  5. Read the appropriate analysis prompt:
    • If video: prompts/yt.md
    • If article: prompts/article.md
    • If paper: prompts/paper.md
    • If other: prompts/default.md
  6. Generate analysis following the prompt structure exactly
  7. Save the report to reports/{category}/YYYY-MM-DD_sanitized-title.md where:
    • {category} is youtube, articles, papers, or other
    • YYYY-MM-DD is today's date
    • sanitized-title is the title in lowercase, spaces replaced with hyphens, special chars removed
  8. Update the activity log at logs/YYYY-MM-DD.md:
    • Create file if it doesn't exist
    • Add entry under appropriate section based on category
    • Format: - [Title](../reports/{category}/filename.md) - HH:MM
  9. Confirm to user what was saved and where

Report Format

Include this header in the report:

# [Title]

**Source**: [File path]
**Date**: YYYY-MM-DD
**Type**: [Category]

---

[Analysis content following appropriate prompt structure]

---

## My Notes

[Empty space for user notes]

Error Handling

  • If file is empty: Inform user and ask if they want to proceed
  • If prompt file missing: Use prompts/default.md or basic structure
  • Slash command equivalent: /analyze <filepath>
  • Prompt files: prompts/default.md (or category-specific)
  • Output location: reports/{category}/