prompt-engineering
Advanced prompt patterns for few-shot learning, chain-of-thought reasoning, optimization, templates, and system prompt design.
- Covers five core pattern categories: few-shot example selection with semantic diversity, chain-of-thought reasoning traces, iterative optimization workflows with A/B testing, modular template systems with variable interpolation, and comprehensive system prompt architecture
- Includes structured implementation workflows for creating new prompts, optimizing existing ones, and scaling systems to production with versioning and monitoring
- Provides quality assurance frameworks with validation requirements (10+ test scenarios, edge cases, consistency checks) and performance standards (>90% task completion, <5% variance)
- References five detailed pattern guides covering few-shot strategies, CoT frameworks, optimization methodologies, template design, and system prompt best practices
Prompt Engineering
Overview
Use this skill to design prompt systems that are clear, testable, and reusable. It covers prompt drafting, optimization, evaluation, and production-oriented patterns for few-shot prompting, reasoning workflows, templates, and system prompts.
Keep the main workflow in this file and load the targeted reference files only for the pattern you are applying.
When to Use
Use this skill when:
- A user asks to write, rewrite, or improve a prompt
- A prompt needs better structure, reliability, or output formatting
- Few-shot examples or reasoning scaffolds are needed
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