AgentSkillsCN

gemini-prompt-construction

为Gemini设计有效的提示结构策略，包括零样本、少样本、角色扮演，以及系统级提示。通过这些策略，优化查询方式，提升准确性和表达风格。

SKILL.md
--- frontmatter
name: gemini-prompt-construction
description: effective prompt structure strategies for Gemini, including Zero-shot, Few-shot, Role, and System prompting. Use this to refine queries for better accuracy and style.

Gemini Prompt Construction Strategies

Goal

Design high-quality prompts that guide Gemini to produce accurate, relevant, and stylistically appropriate outputs by applying proven prompting techniques.

Core Techniques

1. Zero-Shot Prompting

  • •Usage: Use for simple tasks where no prior examples are needed.
  • •Format: Provide a clear description of the task and the input text.
  • •Constraint: Best for straightforward requests like "Summarize this text" or "Translate this sentence."

2. Few-Shot Prompting

  • •Usage: Use when you need to steer the model toward a specific output structure, pattern, or style.
  • •Rule of Thumb: Provide 3 to 5 examples of the input-output pattern.
  • •Classification Tasks: When using few-shot for classification, ensure you mix up the classes in your examples to prevent the model from overfitting to a specific order.
  • •Format:
    text
    Input: [Example 1]
Output: [Desired Result 1]
Input: [Example 2]
Output: [Desired Result 2]
...
Input: [Actual Task]
Output:

3. Role Prompting

  • •Usage: Assign a specific persona (e.g., "book editor," "travel guide") to control the tone, style, and perspective of the response.
  • •Implementation: Start the prompt with "Act as a [Role]..." or "You are a [Role]...".
  • •Benefit: Improves relevance and consistency with the desired domain expertise.

4. System vs. Contextual Prompting

  • •System Prompting: Define the "big picture" goal or overarching rule (e.g., "Always return JSON," "Be respectful").
  • •Contextual Prompting: Provide immediate, task-specific background info (e.g., "Context: You are writing for a blog about retro 80's arcade games").

Configuration Guidelines

  • •Creativity (Temperature):
    • •Factual/Math: Set Temperature to 0.
    • •Balanced: Set Temperature to 0.2, Top-P to 0.95, Top-K to 30.
    • •Creative: Set Temperature to 0.9, Top-P to 0.99, Top-K to 40.

Best Practices

  • •Simplicity: Use positive instructions (what to do) rather than negative constraints (what not to do).
  • •Specificity: Be specific about the output format. For data extraction, explicitly request JSON output to limit hallucinations.