deepseek-cli

🥈Silver

DeepSeek CLI is a command-line AI coding assistant that uses DeepSeek Coder models to automate code generation, debugging, and optimization. It benefits developers and operations teams by integrating with existing workflows and tools, reducing manual coding efforts, and improving code quality. The tool connects to various programming environments and supports multiple languages, enhancing productivity and efficiency in software development.

181270Updated 6d ago

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/holasoymalva/deepseek-cli.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Install deepseek-cli**: Run `pip install deepseek-cli` or use your package manager. Ensure you have API credentials configured for DeepSeek Coder models. 2. **Prepare your code**: Save the code you want to analyze/modify in a file (e.g., `script.py`) or paste it directly into your terminal. 3. **Run the analysis**: Execute `deepseek analyze script.py --language python --task optimize --requirements "performance,security"` in your terminal. Replace `python` with your language and adjust requirements as needed. 4. **Review and integrate**: The tool will output improved code with explanations. Review changes, then either: - Copy the output directly into your project - Use `deepseek apply` to automatically update files - Save the output to a new file for comparison 5. **Test thoroughly**: Run your existing test suite or the generated unit tests to verify the changes work as expected. Use `deepseek test --file test_script.py` for automated testing. **Pro tips:** - For large codebases, process files individually first to validate the tool's output - Use `--context` flag to provide additional project files (e.g., requirements.txt) for better context-aware suggestions - Combine with `git` by running `deepseek diff` before applying changes to see what will be modified

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/holasoymalva/deepseek-cli

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use deepseek-cli to [TASK: generate/debug/optimize/refactor] the following [LANGUAGE] code: [CODE_BLOCK]. Apply [SPECIFIC_REQUIREMENTS] such as performance improvements, security fixes, or adherence to [STYLE_GUIDE]. Include unit tests if applicable. Output the updated code with clear comments explaining changes.

Example Output

```python
# Original code (simplified for brevity):
def calculate_discount(price, discount_rate):
    return price * (1 - discount_rate)

# Optimized code with deepseek-cli:
def calculate_discount(price: float, discount_rate: float) -> float:
    """
    Calculate the final price after applying a discount.
    
    Args:
        price: Original price (must be positive)
        discount_rate: Discount rate (0.0 to 1.0)
        
    Returns:
        Final price after discount
        
    Raises:
        ValueError: If inputs are invalid
    """
    if not (0 <= discount_rate <= 1):
        raise ValueError("Discount rate must be between 0 and 1")
    if price < 0:
        raise ValueError("Price cannot be negative")
    
    # Precompute to avoid repeated calculations in tight loops
    discounted_price = price * (1 - discount_rate)
    
    # Round to 2 decimal places for currency
    return round(discounted_price, 2)

# Unit tests generated by deepseek-cli:
def test_calculate_discount():
    assert calculate_discount(100, 0.2) == 80.0
    assert calculate_discount(50.99, 0.1) == 45.89
    assert calculate_discount(0, 0.5) == 0.0
    
    # Edge cases
    try:
        calculate_discount(-10, 0.1)
        assert False, "Should have raised ValueError"
    except ValueError:
        pass
    
    try:
        calculate_discount(100, 1.1)
        assert False, "Should have raised ValueError"
    except ValueError:
        pass
```

**Key improvements made:**
1. Added type hints for better IDE support and maintainability
2. Implemented input validation to prevent negative prices or invalid discount rates
3. Added docstring with clear parameter/return documentation
4. Precomputed the discounted price to optimize performance
5. Added rounding to 2 decimal places for financial accuracy
6. Generated comprehensive unit tests covering normal cases, edge cases, and error conditions

The optimized function now handles edge cases gracefully and includes self-documenting code with type hints. The unit tests provide 100% coverage of the function's logic and error paths.