System prompts from top GPTs, plus engineering rigor to build your own

What it does awesome-prompts is a curated awesome-list that gathers open system prompts from highly rated GPTs in the GPT Store, alongside prompt engineering frameworks, academic papers, and tooling. It organizes them into copy-paste recipes for dozens of domains—coding, DevOps, legal, healthcare—and pairs them with resources for automatic optimization, red-teaming, and agent harness design. The repo explicitly tries to nudge users from “Camp 1” (persona templates) toward “Camp 2” (prompts as engineered, testable artifacts).

The interesting bit The maintainers explicitly weight the list toward engineering discipline over novelty: you will find prompts for designing MCP protocol mappings, vendor-diverse multi-agent ensembles, and cost-observability architectures, many derived directly from OpenAI, Anthropic, and Google guidance. It also catalogs leaked production system prompts and academic papers on reasoning, RAG, and safety—material that is usually scattered across arXiv and Discord threads.

Key highlights

• Hundreds of ready-made system prompts sorted by domain, from Agentic Coder to SQL Assistant
• Engineering-focused sections covering DSPy, promptfoo, Guidance, TextGrad, and automatic prompt optimization
• Red-team and security resources, plus a collection of real-world system prompt leaks
• Curated paper lists spanning optimization, agents, multi-agent systems, memory, and multimodal
• Agent ecosystem coverage including MCP, A2A protocol advice, skill packaging, and harness design

Verdict Grab this if you are building LLM applications and need production-derived system prompts or a reading list to graduate from ad-hoc prompting to reproducible engineering. Skip it if you want a managed service or a CLI tool that runs out of the box—it is strictly a curated reference library.