Deepseek
DeepSeek AI models for coding. Use for code AI.From its SKILL.md
npx -y skills add G1Joshi/Agent-Skills --skill deepseekAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.1 KB, 278 tokens by cl100k_base, as published. Nobody here has run it
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-70Blocally for private reasoning.
Don't:
- Don't suppress thoughts: When using R1, the "thought" trace is valuable for debugging the model's logic.
References
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.