Unlock DeepSeek’s 13 Prompt Templates: From Code Optimization to AI‑Powered Content Generation

This article introduces DeepSeek’s 13 ready‑to‑use prompt templates, explains how to rewrite and optimize code, decode algorithm logic, generate full‑stack applications, classify text, produce structured JSON, role‑play personas, craft prose, poetry, outlines, slogans, and even translate technical statements, showcasing the versatility of modern AI prompting.

Java High-Performance Architecture
Java High-Performance Architecture
Java High-Performance Architecture
Unlock DeepSeek’s 13 Prompt Templates: From Code Optimization to AI‑Powered Content Generation

DeepSeek released 13 common prompt templates for users familiar with AI and programming.

Reading Guide

Prompt : USER and SYSTEM instructions.

DeepSeek Sample Output : Example responses.

API Code Mode : Code snippets for developers (can be ignored by non‑developers).

1. Code Rewrite

Original inefficient Fibonacci function is analyzed for repeated calculations, missing negative‑input handling, and recursion depth limits.

def fib(n):
    if n <= 2:
        return n
    return fib(n-1) + fib(n-2)

Solutions include memoization and iterative implementation.

Method 1: Memoized Recursion

def fib(n, memo={}):
    if n < 0:
        raise ValueError("Input must be a non‑negative integer")
    if n <= 2:
        return 1
    if n in memo:
        return memo[n]
    memo[n] = fib(n-1, memo) + fib(n-2, memo)
    return memo[n]

Method 2: Iterative

def fib(n):
    if n < 0:
        raise ValueError("Input must be a non‑negative integer")
    if n <= 2:
        return 1
    a, b = 1, 1
    for _ in range(3, n+1):
        a, b = b, a + b
    return b

2. Code Explanation

The provided DP code solves the classic 0/1 knapsack problem.

for(int i = 1; i < weight.size(); i++) {
    for(int j = 0; j <= bagweight; j++) {
        if (j < weight[i]) dp[i][j] = dp[i-1][j];
        else dp[i][j] = max(dp[i-1][j], dp[i-1][j-weight[i]] + value[i]);
    }
}

Explanation covers initialization, outer/inner loops, and state transition equation, concluding that dp[i][j] stores the maximum value for the first i items with capacity j.

3. Code Generation

Prompt to generate a complete Gomoku game in a single HTML file.

<!DOCTYPE html>
<html lang="zh-CN">
<head>
  <meta charset="UTF-8">
  <title>五子棋游戏</title>
  <style>/* CSS omitted for brevity */</style>
</head>
<body>
  <div id="board"></div>
  <div id="message"></div>
  <script>/* JavaScript omitted for brevity */</script>
</body>
</html>

4. Content Classification

Prompt for automatic news categorization; example classifies a SpaceX launch article as "Technology".

5. Structured Output

Prompt to extract key information from news into JSON format.

{
  "entity": "猎鹰9号运载火箭",
  "time": "2023-08-31 03:43:00",
  "summary": "8月31日,猎鹰9号运载火箭两次成功发射,将42颗星链卫星送入轨道,创下最短发射间隔纪录。..."
}

6. Role‑Playing (Custom Persona)

System instruction makes the model act as a fancy overseas‑returnee; example response mixes Chinese and English slang.

7. Scenario Continuation

Simulated dialogue between Zhuge Liang and Liu Bei in the afterlife.

8. Prose Writing

750‑word essay titled “孤独的夜行者”, describing a wanderer’s feelings in a silent city night.

9. Poetry

Seven‑line poem about an airplane in the style of Li Bai, followed by analysis.

10. Outline Generation

Creative outline for an article on “China’s agriculture”, including title, introduction, three body sections, and conclusion.

11. Slogan Generation

Greek‑yogurt slogan: "希腊酸奶,浓滑如诗,健康滋味,一口知!"

12. Prompt Generation

Markdown‑formatted prompt for a “Linux Assistant” covering positioning, abilities, knowledge base, and usage example.

13. Translation

Chinese statement of Newton’s First Law rendered in fluent English.

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Code Generationcode optimizationtranslationAI promptingalgorithm explanation
Java High-Performance Architecture
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