Agent Skills: prompt-engineering

Designs and optimizes prompts for large language models including system prompts, agent signals, and few-shot examples. Covers instruction design, prompt security, chain-of-thought reasoning, and in-context learning for orchestrated AI agents. Trigger keywords: prompt, LLM, GPT, Claude, AI, system prompt, user prompt, few-shot, chain of thought, CoT, in-context learning, prompt template, prompt injection, jailbreak prevention, agent signal, agent instruction, agent orchestration, reasoning, instruction tuning.