Prompt Engineering Patterns
技能 已验证 活跃Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
功能
- Few-shot learning with example selection strategies
- Chain-of-Thought prompting for step-by-step reasoning
- Structured outputs using Pydantic for reliable parsing
- Prompt optimization workflows and A/B testing
- Template systems for reusable and modular prompts
- System prompt design for specialized AI assistants
使用场景
- Designing complex prompts for production LLM applications
- Optimizing prompt performance, consistency, and token usage
- Implementing structured reasoning and few-shot learning
- Building reusable prompt templates and system prompts
- Debugging and refining prompts for improved LLM outputs
非目标
- Providing pre-built prompts for specific LLM tasks (focuses on patterns)
- Interacting directly with LLM APIs (demonstrates patterns)
- Managing LLM infrastructure or deployment
安装
请先添加 Marketplace
/plugin marketplace add wshobson/agents/plugin install llm-application-dev@claude-code-workflows质量评分
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