Creating a good prompt is key to getting useful answers from AI. This skill helps you write, improve, and test prompts step by step. You can make your prompts clearer, save tokens, and check results.
Anyone building AI applications can use it. It covers techniques like chain-of-thought and few-shot learning. You can also create system prompts with rules and safety.
The skill includes patterns for structured outputs and evaluation rubrics. You will learn to debug inconsistent outputs and move prompts between different models.
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