deepseek

DeepSeek AI models for coding. Use for code AI.

7 stars

byG1Joshi

View on GitHub Installation ↓

Best use case

deepseek is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

DeepSeek AI models for coding. Use for code AI.

Teams using deepseek should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/deepseek/SKILL.md --create-dirs "https://raw.githubusercontent.com/G1Joshi/Agent-Skills/main/skills/ai-ml/deepseek/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/deepseek/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How deepseek Compares

Feature / Agent	deepseek	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

DeepSeek AI models for coding. Use for code AI.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DeepSeek

DeepSeek (from China) disrupted the market in late 2024/2025 by releasing **DeepSeek-V3** and **R1** (Reasoning) with performance matching Claude/GPT-4 at 1/10th the cost.

## When to Use

- **Cost Efficiency**: The API is incredibly cheap.
- **Reasoning**: **DeepSeek-R1** uses Chain-of-Thought reinforcement learning (like OpenAI o1) but is open weights.
- **Coding**: DeepSeek-Coder-V2 is a top-tier coding model.

## Core Concepts

### MLA (Multi-Head Latent Attention)

Architectural innovation that drastically reduces KV cache memory usage (allowing huge context).

### DeepSeek-R1

A reasoning model that outputs its "thought process" before the final answer.

## Best Practices (2025)

**Do**:

- **Use R1 for Math/Logic**: It rivals o1-preview in math benchmarks.
- **Local Distillations**: Run `DeepSeek-R1-Distill-Llama-70B` locally for private reasoning.

**Don't**:

- **Don't suppress thoughts**: When using R1, the "thought" trace is valuable for debugging the model's logic.

## References

- [DeepSeek GitHub](https://github.com/deepseek-ai)