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.
git clone https://github.com/holasoymalva/deepseek-cli.gitDeepSeek 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.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/holasoymalva/deepseek-cliCopy 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 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?
# 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
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