awesome-prompt-engineering

by brandonhimpfen · Agent Tool · ★ 250

About awesome-prompt-engineering

A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLMs) and generative AI.

aiawesomeawesome-listawesome-listsprompt-engineering

Quick Facts

Stars250
Forks45
LanguagePython
CategoryAgent Tool
Quality Score45.75/100
Last Updated2026-09-05
Created2025-06-28
Platformspython
Est. Tokens~2k

Compatible Skills

These tools work well together with awesome-prompt-engineering for enhanced workflows:

  • awesome-llm-skills — semantic(0.40)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • awesome-code-docs — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • awesome-mcp-gateways — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • awesome-legal-ai-zh — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
  • ai-microcore — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is awesome-prompt-engineering?

awesome-prompt-engineering is A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLMs) and generative AI.. It is categorized as a Agent Tool with 250 GitHub stars.

What programming language is awesome-prompt-engineering written in?

awesome-prompt-engineering is primarily written in Python. It covers topics such as ai, awesome, awesome-list.

How do I install or use awesome-prompt-engineering?

You can find installation instructions and usage details in the awesome-prompt-engineering GitHub repository at github.com/brandonhimpfen/awesome-prompt-engineering. The project has 250 stars and 45 forks, indicating an active community.

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