Quickly launch Claude with custom personas and models for coding tasks. Ideal for developers and operations teams needing fast, interactive model selection.
git clone https://github.com/NTCoding/claude-skillz.gitQuickly launch Claude with custom personas and models for coding tasks. Ideal for developers and operations teams needing fast, interactive model selection.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/NTCoding/claude-skillzCopy 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.
Write a Python script to [TASK]. The script should include error handling and be well-commented. Use [LIBRARIES] if needed. Here's an example of what the input data will look like: [EXAMPLE_INPUT].
Here's a Python script that reads a CSV file, processes the data, and writes the results to a new CSV file. The script includes error handling for file operations and data processing.
```python
import csv
# Define the input and output file paths
task_input_file = 'input.csv'
task_output_file = 'output.csv'
# Define a function to process each row of data
def process_data(row):
# Example processing: convert string to uppercase
return row.upper()
# Read the input CSV file
try:
with open(task_input_file, 'r') as input_file:
reader = csv.reader(input_file)
# Skip the header row
next(reader)
# Process each row of data
processed_data = [process_data(row) for row in reader]
# Write the processed data to the output CSV file
with open(task_output_file, 'w', newline='') as output_file:
writer = csv.writer(output_file)
# Write the header row
writer.writerow(['Processed Data'])
# Write the processed data
writer.writerows([[row] for row in processed_data])
print(f'Data processing complete. Results saved to {task_output_file}')
except FileNotFoundError:
print(f'Error: The file {task_input_file} was not found.')
except Exception as e:
print(f'An error occurred: {str(e)}')
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