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.

163270Updated Today

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

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

I'm using DeepSeek CLI to automate my coding workflow. Here's my task: [TASK]. I need help with [SPECIFIC_PROGRAMMING_LANGUAGE] code. Can you provide a step-by-step guide to accomplish this using DeepSeek CLI?

Example Output

# Automating Data Analysis with DeepSeek CLI

## Task: Automate Data Cleaning and Analysis

### Step 1: Initialize DeepSeek CLI
```bash
deepseek init --model deepseek-coder-33b
```

### Step 2: Define the Data Cleaning Task
```bash
deepseek run --task "Clean and preprocess a CSV file named 'sales_data.csv' by removing duplicates, handling missing values, and standardizing date formats."
```

### Step 3: Generate the Analysis Script
```bash
deepseek run --task "Create a Python script to analyze the cleaned data, including calculating total sales, average sales per region, and identifying top-performing products."
```

### Step 4: Execute the Script
```bash
python analyze_sales.py
```

## Output
The script will generate a detailed analysis report, including:
- Total sales: $1,250,000
- Average sales per region: $250,000
- Top-performing products: Product A, Product B, Product C