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prompt-engineering-patterns

Generate optimized LLM prompts using chain-of-thought, ReAct, and other scientific reasoning patterns

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## Overview

Advanced LLM prompt optimization patterns for scientific reasoning: chain-of-thought, tree-of-thought, few-shot learning, ReAct, and self-consistency. Generates optimized prompts tailored to scientific investigation tasks and specific domains (biology, chemistry, materials, etc.).

Use this tool to construct better prompts before querying an LLM, ensuring rigorous scientific reasoning, hypothesis generation, and evidence-based conclusions.

## Usage

```bash
# Generate a chain-of-thought prompt for a biology task
python3 skills/prompt-engineering-patterns/scripts/prompt_optimize.py \
  --task "Identify potential drug targets for Alzheimer's disease" \
  --pattern chain-of-thought \
  --domain biology