You can make your AI give better answers by testing different prompts. This process uses real data from your users to find what works best. It runs automatically to improve your AI's responses.
The system looks at how your AI performed with past prompts. It checks user feedback and automated scores. Then it tries small changes to the prompt to see if the AI gets better results.
This helps you improve output quality without guessing. The tool does the hard work of finding the best prompt for your AI using your own data.
Global
mkdir -p ~/.claude/skills/arize-prompt-optimizationProject
mkdir -p .claude/skills/arize-prompt-optimizationSource 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