Writing clear instructions for AI assistants is a careful craft. Prompt engineering is the skill of designing those instructions so the AI does exactly what you want. Small changes in wording can lead to very different results.
This approach uses system prompts to set the role and rules for the AI. Few-shot examples show the AI what good answers look like. Chain-of-thought asks the AI to think step by step for better reasoning. Each technique helps the AI understand your intent.
You will learn to avoid vague instructions and test your prompts systematically. This skill works well for anyone building apps with large language models. It turns fuzzy ideas into reliable AI behavior.
Global
mkdir -p ~/.claude/skills/prompt-engineerProject
mkdir -p .claude/skills/prompt-engineerSource Repository
Cavemanjuliusbrussee/caveman
Talk like a smart caveman to save tokens without losing technical accuracy
Cavemanmattpocock/skills
Caveman mode for AI cuts token count 75% without losing technical accuracy
Enhance Promptgoogle-labs-code/stitch-skills
Turn vague UI ideas into clear, polished prompts with design system consistency
Humanizer Zhop7418/humanizer-zh
Remove AI writing patterns to make your text sound natural and human
Gws Modelarmorgoogleworkspace/cli
Filter harmful user content automatically with Google Model Armor for safety
Prompt Engineering Patternswshobson/agents
Master advanced prompt engineering patterns to get reliable and powerful AI outputs every time
Context Engineeringaddyosmani/agent-skills
Optimize your agent's context to improve output quality and focus
Writetw93/waza
Rewrite your prose to sound human and natural every time