llm-prompt-engineering
Design, manage, and version prompts for LLM applications. Covers prompt design patterns (zero-shot, few-shot, chain-of-thought, ReAct, tree-of-thought), system prompt engineering, prompt templates with variables, prompt versioning and A/B testing, prompt management platforms (LangSmith, PromptLayer, Helicone), structured output (JSON mode, function calling, Pydantic), prompt injection defense, prompt optimization and compression, multi-turn conversation design, and prompt evaluation. Use when designing prompts, managing prompt versions, optimizing prompt performance, or defending against prompt injection.
- Version
- 1.0
- License
- Apache-2.0
Pinned to revision 45cf0fa3c5e7, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/llm-prompt-engineering/SKILL.md
- skills/llm-prompt-engineering/references/REFERENCE.md
- skills/llm-prompt-engineering/scripts/prompt_manager.py
- skills/llm-prompt-engineering/scripts/prompt_optimizer.py
Every link opens the file at its source, pinned to the revision this page describes.