Platform Specific Architecture

DeepSeek-R1 & V3 Prompt Guide

Maximize open-weights reasoning power, chain-of-thought deliberation, and mathematical precision.

View DeepSeek-R1 & V3 on AlsoClick → Compatible Skills & Extensions (0+)

Ideal Use Cases & Strengths

Complex mathematical reasoning, competitive algorithmic coding, algorithmic optimizations, deep logical verification, and cost-effective high-volume API batching.

Recommended Prompt Architecture

### The DeepSeek Pure-Reasoning Framework 1. **Direct Problem Statement**: DeepSeek-R1 works best with direct, unadorned mathematical or technical problem statements. Avoid overly conversational preambles. 2. **Explicit Verification Mandate**: Tell the model to 'Verify all intermediate invariants and cross-check boundary conditions before concluding'. 3. **Deliberation Guidance**: Encourage step-by-step thinking for algorithm complexity analysis.

Output Formatting Tips

• Request LaTeX formatting for all mathematical equations ($...$ inline, $$...$$ display). • Ask for formal computational complexity analysis (Big-O time and space) in markdown tables.

Common Pitfalls to Avoid

• Constraining the thinking tokens too tightly, which truncates the model's self-correction loops. • Asking for creative prose without specifying tone (reasoning models default to highly analytical registers).

Advanced Techniques & Power Features

• Chain-of-Thought Steering: DeepSeek-R1 natively generates <think> tokens. Allow the model to deliberate without artificially truncating max_tokens. • Distilled Model Prompting: When using DeepSeek-R1-Distill-Qwen/Llama, provide 1-shot examples to maintain structural fidelity.

Tested DeepSeek-R1 & V3 Templates

Copy, customize, and paste these verified templates directly into DeepSeek-R1 & V3.

CodingDeepSeek-R1 & V3

High-Performance Algorithm Optimization & Benchmark

Rewrites performance-critical algorithms for maximum cache locality and zero-allocation execution.

You are a Low-Level Systems Performance Engineer.

Analyze the following algorithmic hot path:
[INSERT CODE]

Task:
Optimize the routine to minimize CPU cache misses, eliminate heap allocations on the hot path, and improve throughput.

Provide:
- Asymptotic complexity comparison
- Optimized implementation
- Detailed rationale for cache line alignment and branch predictability.

Ready to paste

ReasoningDeepSeek-R1 & V3

Mathematical Formal Proof & Invariant Verification

Harnesses DeepSeek-R1's deep reasoning tokens to verify complex mathematical and distributed system proofs.

You are a Theoretical Computer Scientist.

Problem:
We have a distributed state machine with dynamic quorum reassignment. Formally prove safety and liveness invariants under asynchronous network conditions.

Instructions:
- Provide rigorous inductive proofs for each lemma.
- Format equations using standard LaTeX ($ and $$).
- Identify any boundary failure modes where consensus could deadlock.

Ready to paste