promptslab/Awesome-Prompt-Engineering

Organized by research area (reasoning, in-context learning, multimodal, agent systems) and practical tools (prompt management, LLM evaluation, agent frameworks), this collection spans 1,500+ papers with a taxonomy of 58+ prompting techniques alongside benchmarks, open-source implementations, and provider documentation. It bridges theory and practice by pairing foundational research with evaluation frameworks, red-teaming resources, and code repositories for prompt optimization, compression, and security testing.

5,537 stars. Actively maintained with 23 commits in the last 30 days.