2025年被朋友圈刷爆的deepseek保姆级教学来了。

Deepseek Simplified Prompt Strategy (1000+ Words)

Avoid Complex Prompts: DeepSeek is a reasoning model, and using structured prompts may limit its reasoning ability. Therefore, it is recommended to ask questions directly and allow the model to reason on its own.
Clearly Express Needs: When asking questions, be clear about specific goals, background, and requirements, avoiding vague and general statements. For example, instead of saying “Help me write a plan,” say “As a cross-border e-commerce entrepreneur, I need to develop a promotion plan for new products on Amazon, please elaborate according to the following framework…”.

Scenario-Based Template: Clearly define the goal, audience, effect, and problem. For example, “I want to design a PPT framework to share with a group of manufacturing industry bosses around 50 years old, the theme is the overseas strategic layout of traditional factories…”.
Terminology Explanation Template: Explain professional terms in simple language, such as “Explain RLHF in terms that a primary school student can understand”.
Style Transfer Template: Imitate a specific author or writing style for creation, for example, “Using Jin Yong’s martial arts novel style, describe a scene of a programmer efficiently coding with DeepSeek-R1”.

4-Step Questioning Method: Define identity, specific tasks, detail constraints, and output format. For example, “As a marketing specialist, please compare the social media sentiment of BYD and Tesla in Q4 2024 regarding the ‘price reduction strategy’, and present the analysis in a table”.
Step-by-Step Questioning: For complex issues, break them down into multiple simple steps and ask step by step. For example, “Step 1: Summarize the five major trends in social media marketing; Step 2: Select the three most suitable trends for our product; Step 3: Design an implementation plan…”.

The Importance of Background Information: Providing background information can help DeepSeek better understand the context of the problem, leading to more accurate answers. For example, “I am preparing for the CET-4 exam, please explain the key points of this technology article using simple vocabulary”.

Follow-Up Questioning Techniques: Follow-up questions can further explore the details and depth of the problem. For example, “Based on this plan, what implementation risks might arise? Provide countermeasures”.
Feedback Correction: If the answer does not meet expectations, you can correct it by providing additional information or adjusting the question. For example, “The previous answer was too professional; please explain it again in terms that a grocery shopping aunt can understand”.

Clear Output Requirements: Tell DeepSeek the format you want for the answer, such as lists, tables, bullet points, etc. For example, “Please present the heating principles, applicable scenarios, and energy consumption differences between microwave ovens and air fryers in a comparison table”.

Avoid Vague Questions: Avoid using overly vague or general questioning methods, such as “How do I do this?” or “What about that thing?”.
Avoid Asking Multiple Questions at Once: Try to ask one question at a time to avoid confusion in the answers.
Avoid Lack of Key Information: When asking questions, provide enough key information, such as including code and error messages when inquiring about code issues.

Role-Playing Method: Let DeepSeek play a specific role to answer questions, such as “You are a senior programmer, please help me explain the recursive function in Python”.
Cross-Modal Fusion: Combine images, text, data, and other modalities for questioning, such as “Interpret this user behavior heat map, point out three key points of user loss, and use arrows to indicate improvement directions”.
Reverse Questioning Techniques: When unsure of specific needs, let DeepSeek help you list key questions, such as “I plan to start a project but am unsure how to describe the specific requirements, please help me list 5 key questions to clarify my thoughts”.

Direct Data Processing: Paste CSV data directly into DeepSeek for analysis or to generate chart code.
Translation Comparison: Ask DeepSeek to translate the same sentence in different styles simultaneously, such as “Translate this sentence into English in both GPT style and DeepSeek style”.
Using as a Search Engine: By adding specific keywords (such as site:知乎 or site:arxiv.org), you can make DeepSeek search for information on specific websites.

Simplify Answers: If the answer is too complex or professional, you can ask DeepSeek to explain it in simpler terms, such as “Explain it in a way that a primary school student can understand”.
Code Errors: When encountering code problems, paste the error message and code directly for DeepSeek to help debug.
Avoid Lengthy Answers: If a detailed answer is not needed, you can ask DeepSeek to output only the core steps or key conclusions.

Think of DeepSeek as a smart but naive new colleague: When asking questions, be clear about specific goals, background, and requirements, avoiding leaving it to guess, while providing enough information to help it better understand the problem.
Efficient Questioning Formula: “Identity + Task + Requirements + Example”, for example, “As a fitness coach (identity), help me create a weight loss meal plan (task), that varies each week (requirement), like this (example)…”.
Core Philosophy: Clearly tell DeepSeek what you want, what reference materials to use, what the output should look like, and what to avoid, which can greatly improve the accuracy and practicality of its answers.

Information Source: Special Love for Progress

Editor: Li Jiaxian

Reviewer: Xu Junjun

Issued by: Chen Weiwei

Comprehensive DeepSeek Usage Techniques!