Can I use this for code completion in my editor?

Absolutely. The skill includes specific examples for using the beta Fill-in-the-Middle (FIM) endpoint designed specifically for code completion tasks.

How does DeepSeek's pricing compare to other models?

DeepSeek is known for its highly affordable pricing, offering significant savings on input and output tokens compared to many other flagship LLMs, especially with prompt caching.

Is an API key required for this skill?

Yes, you must have a valid DeepSeek API key and set the DEEPSEEK_API_KEY environment variable to authenticate requests.

Is it compatible with existing OpenAI SDKs?

Yes, DeepSeek's API is fully OpenAI-compatible, allowing you to use existing OpenAI libraries by simply updating the base URL to api.deepseek.com.

What models are supported by the DeepSeek skill?

The skill supports the deepseek-chat model for general-purpose tasks and the deepseek-reasoner model for complex logical and mathematical problems.

DeepSeek AI Integration

Name: DeepSeek AI Integration
Author: vm0-ai

byvm0-ai

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Data Science & ML

Integrates DeepSeek's high-performance language models for cost-effective chat, reasoning, and code generation.

About

This skill enables Claude to interact with the DeepSeek API using direct curl commands, providing access to powerful models like DeepSeek-V3 and the DeepSeek Reasoner. It serves as a cost-effective, OpenAI-compatible alternative for complex reasoning tasks, structured JSON generation, and fill-in-the-middle code completion. By leveraging DeepSeek's 128K context window and specialized thinking modes, developers can solve difficult logical problems and generate high-quality code while benefiting from significant cost savings and prompt caching.

Key Features

OpenAI-compatible API architecture
18 GitHub stars
Access to DeepSeek-V3 and DeepSeek-Reasoner models
Streaming support for real-time response generation
Structured JSON output and function calling capabilities
Advanced Fill-in-the-Middle (FIM) code completion

Use Cases

Generating and completing code snippets using the specialized FIM endpoint
Reducing operational costs for high-volume LLM chat completions
Performing complex multi-step reasoning and logical problem solving

About

Key Features

OpenAI-compatible API architecture
18 GitHub stars
Access to DeepSeek-V3 and DeepSeek-Reasoner models
Streaming support for real-time response generation
Structured JSON output and function calling capabilities
Advanced Fill-in-the-Middle (FIM) code completion

Use Cases

Generating and completing code snippets using the specialized FIM endpoint
Reducing operational costs for high-volume LLM chat completions
Performing complex multi-step reasoning and logical problem solving