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ai-prompting
GitHub提供LLM交互模式与提示词工程技巧，涵盖角色设定、少样本学习、思维链及系统提示设计。用于优化AI助手行为、提升生成质量及解决复杂逻辑问题。
触发场景
用户要求编写或优化提示词
询问LLM交互最佳实践
涉及少样本提示或思维链技术
安装
npx skills add NeverSight/learn-skills.dev --skill ai-prompting -g -y
SKILL.md
Frontmatter
{
"name": "ai-prompting",
"description": "AI prompt engineering and LLM interaction patterns. Use when user asks to \"write prompts\", \"optimize prompts\", \"design system prompts\", \"few-shot prompting\", \"chain-of-thought\", \"prompt techniques\", \"LLM patterns\", \"prompt best practices\", \"model interactions\", \"AI assistant design\", or mentions prompt optimization, LLM interactions, or generative AI patterns."
}
AI Prompting & LLM Patterns
Prompt engineering techniques and LLM interaction patterns for Claude, GPT, and other AI models.
Prompt Techniques
Basic Structure
Role: [Specify role/expertise]
Task: [Clear, specific task]
Context: [Relevant background]
Format: [Desired output format]
Constraints: [Any limitations]
Few-Shot Prompting
Provide 2-3 examples of input-output pairs before the actual request to guide model behavior.
Chain-of-Thought
Ask model to "explain your reasoning step by step" for complex tasks. Improves accuracy on logical problems.
System Prompts
Design detailed system prompts that establish persona, expertise level, and behavioral guidelines.
Key Strategies
- Clarity - Be specific and unambiguous
- Examples - Provide concrete examples
- Constraints - Define output format and limits
- Role Definition - Specify expertise and perspective
- Iterative Refinement - Test and improve prompts
Common Patterns
- Classification & Categorization
- Text Generation & Creative Writing
- Code Generation & Debugging
- Data Extraction & Parsing
- Analysis & Reasoning
- Summarization & Synthesis
- Translation & Conversion
- Problem Solving & Ideation
References
- OpenAI Prompt Engineering Guide
- Anthropic Claude Best Practices
- Prompt Engineering Institute
版本历史
- e0220ca 当前 2026-07-05 20:41
