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    masslab-sii

    file-organization

    masslab-sii/file-organization
    Productivity
    142

    About

    SKILL.md

    Install

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    About

    File organization toolkit. Provides duplicate detection, file merging/splitting, pattern matching, text processing (like case conversion, word counting), and file classification by size or time.

    SKILL.md

    File Organization Skill

    This skill provides file analysis, manipulation, and organization:

    1. Duplicate detection: Find and organize files with identical content
    2. File merging: Combine multiple small files into one
    3. File splitting: Split large files into smaller equal-sized parts
    4. Pattern matching: Find files containing specific substrings
    5. Text transformation: Convert files to uppercase and count words
    6. Size classification: Organize files by size thresholds
    7. Time classification: Organize files by creation time

    1. Duplicate File Detection

    Scans all files in a directory, identifies files with duplicate content, and moves them to a separate subdirectory.

    Example

    # Find and organize duplicate files (default directory name: 'duplicates')
    python find_duplicates.py /path/to/directory
    
    # Use a custom directory name for duplicates
    python find_duplicates.py /path/to/directory --duplicates-dir my_duplicates
    

    2. File Merging

    Identifies the N smallest .txt files, sorts them alphabetically, and merges their content into a single file.

    Example

    # Merge the 10 smallest .txt files (default)
    python merge_files.py /path/to/directory
    
    # Merge the 5 smallest files
    python merge_files.py /path/to/directory --count 5
    
    # Use a custom output filename
    python merge_files.py /path/to/directory --output merged_content.txt
    

    3. File Splitting

    Splits a large text file into multiple smaller files with equal character counts.

    Example

    # Split large_file.txt into 10 equal parts (default)
    python split_file.py /path/to/directory large_file.txt
    
    # Split into 5 parts
    python split_file.py /path/to/directory large_file.txt --parts 5
    

    4. Pattern Matching

    Finds all files that contain a substring of N or more characters that also appears in a reference file.

    Example

    # Find files with 30+ character matches (default)
    python pattern_matching.py /path/to/directory large_file.txt
    
    # Use a custom minimum length
    python pattern_matching.py /path/to/directory large_file.txt --min-length 50
    

    5. Text Transformation (Uppercase)

    Converts text files to uppercase and counts words in each file.

    Example

    # Convert specific files to uppercase
    python convert_uppercase.py /path/to/directory --files file_01.txt file_02.txt file_03.txt
    

    6. File Size Classification

    Classifies files into different subdirectories based on their file sizes.

    Example

    # Using default thresholds (300 and 700 bytes)
    python classify_files_by_size.py /path/to/directory
    
    # Custom thresholds
    python classify_files_by_size.py /path/to/directory --small 1024 --large 10240
    
    # Custom category names
    python classify_files_by_size.py /path/to/directory --small-category tiny --medium-category normal --large-category huge
    

    7. File Time Classification

    Classifies files into MM/DD directory structure based on their creation time.

    Example

    # Classify files by creation time
    python classify_files_by_time.py /path/to/directory
    
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    Repository
    masslab-sii/open-agent-skills
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