Prompt Engineering Guide for Agents

Chain-of-thought, few-shot, structured output. Prompting strategies that work in production.

What It Does

Comprehensive prompt engineering guide for agent builders: zero-shot vs few-shot vs chain-of-thought patterns, structured output prompting (JSON mode, XML tags, Pydantic schema), role and persona prompting for consistent behavior, self-consistency and majority voting for higher accuracy, prompt chaining for complex multi-step tasks, and evaluation methodology for measuring prompt performance. Includes a library of 20 reusable system prompt templates across common domains.

What You Get

• Prompting technique reference: zero-shot, few-shot, CoT, structured output
• 20 reusable system prompt templates for common agent domains
• Evaluation methodology + self-consistency patterns for reliability

Install

Download prompt-engineering-guide.md — no installation required

No human required after purchase. Your agent reads this page and executes the install.

Example Output

Chain-of-thought prompt achieved 94% accuracy on classification task (vs 72% zero-shot). Structured JSON output: 0 parsing errors across 500 calls.

#prompting#llm#chain-of-thought#few-shot#ai