promptslab/Awesome-Prompt-Engineering

Project overview

A hand-curated, structured catalog of prompt engineering and context engineering resources, including papers, tools, APIs, and courses. It serves as a static reference accessible via web browsing without requiring software installation or coding skills.

Project type

MCP · Data Processing · Evaluation & Observability

Use cases

Learning & Education

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Researchers, developers, and general users who need a categorized, static directory for discovering prompt engineering papers, APIs, and tools without writing code.

Key capabilities

• A hand-curated collection of resources for Prompt Engineering and Context Engineering covering papers, tools, models, APIs, benchmarks, courses, and communities.
• Provides a recommended learning path for beginners to learn the basics, read guides, study provider docs, and understand research.

Limitations and risks

• The project operates as a static README and hosted documentation site; it does not execute code, manage external services, or process data locally.
• Hardware, operating system, telemetry, data boundary, and cost dependency requirements are not documented, as the project is consumed purely via web navigation.

Getting started

• Read the README.md directly on the GitHub repository or visit the hosted GitHub Pages documentation site to begin navigating the resource categories.

Evidence and sources

• README: <a href="https://awesome.re"><img src="https://awesome.re/badge.svg" alt="Awesome" /></a>
• README: A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with…
• README: New to prompt engineering? Follow this path:
• README: https://promptslab.github.io
• README: - [MCP (Model Context Protocol)](#mcp-model-context-protocol)

Reviewed at: 2026-07-15T16:45:44Z