Use when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques.
Quickly install prompt-engineering AI skill to your development environment via command line
Source: rfxlamia/claude-skillkit.
This skill helps create highly effective prompts by selecting the optimal technique and format based on task characteristics. Analyzes complexity, target LLM, accuracy needs, and context to recommend the best approach from 10+ proven methods and 4 structured formats.
| Need | Method | Best Format | Reference |
| Simple task | Zero-Shot | Natural Language | zero-shot.md | | Style consistency | Few-Shot | Same as examples | few-shot.md | | Multi-step reasoning | CoT | Natural/XML | chain-of-thought.md | | Tool interaction | ReAct | JSON | react.md | | Complex planning | ToT | YAML/XML | tree-of-thoughts.md |
Use when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques. Source: rfxlamia/claude-skillkit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/rfxlamia/claude-skillkit --skill prompt-engineeringUse when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques. Source: rfxlamia/claude-skillkit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rfxlamia/claude-skillkit --skill prompt-engineering Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/rfxlamia/claude-skillkit