Zor is an open-source, terminal-based AI pair programmer that assists developers with coding tasks. It benefits software engineers and operations teams by providing real-time code suggestions, debugging help, and automation support. Zor integrates with Python workflows and connects to Claude agents for enhanced functionality.
git clone https://github.com/admincodes7/zor.gitZor is an open-source, terminal-based AI pair programmer that assists developers with coding tasks. It benefits software engineers and operations teams by providing real-time code suggestions, debugging help, and automation support. Zor integrates with Python workflows and connects to Claude agents for enhanced functionality.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/admincodes7/zorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm working on a Python script for [COMPANY] in the [INDUSTRY] sector. The script is supposed to [DESCRIBE TASK]. I've tried [DESCRIBE ATTEMPT] but keep getting [ERROR MESSAGE]. Can you help me debug this and suggest improvements?
# Debugging and Improving Python Script for Data Processing
## Current Issues
- The script fails to process large datasets efficiently
- Error message: `MemoryError: Unable to allocate array of size 128 MB`
- Slow performance when handling multiple files
## Suggested Improvements
1. **Memory Management**: Implement chunking for large datasets
```python
def process_in_chunks(file_path, chunk_size=1000):
with open(file_path, 'r') as file:
while True:
chunk = file.readlines(chunk_size)
if not chunk:
break
process_chunk(chunk)
```
2. **Parallel Processing**: Use multiprocessing for concurrent file handling
3. **Error Handling**: Add comprehensive error handling for file operations
## Implementation Plan
1. Refactor the current script to implement chunking
2. Add multiprocessing support for file processing
3. Implement comprehensive error handling
4. Test with various dataset sizes
5. Optimize performance based on test resultsAI assistant built for thoughtful, nuanced conversation
IronCalc is a spreadsheet engine and ecosystem
Service Management That Turns Chaos Into Control
Customer feedback management made simple
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan