file_organization
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.
What this skill does
# 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 ```bash # 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 ```bash # 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 ```bash # 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 ```bash # 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 ```bash # 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 ```bash # 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 ```bash # Classify files by creation time python classify_files_by_time.py /path/to/directory ```
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