Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/MassLab-SII/open-agent-skills/tree/main/portable-skills/file_organization
SKILL.md
File Organization Skill
This skill provides file analysis, manipulation, and organization:
- Duplicate detection: Find and organize files with identical content
- File merging: Combine multiple small files into one
- File splitting: Split large files into smaller equal-sized parts
- Pattern matching: Find files containing specific substrings
- Text transformation: Convert files to uppercase and count words
- Size classification: Organize files by size thresholds
- 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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