genaiscript and generative-ai-prompt-engineering

GenAI scripting automation with TypeScript-based workflows complements prompt engineering sample code by providing a production-ready framework to systematize and execute the experimental prompting patterns that the educational samples demonstrate.

genaiscript
74
Verified
generative-ai-prompt-engineering
42
Emerging
Maintenance 10/25
Adoption 20/25
Maturity 25/25
Community 19/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 19/25
Stars: 2,890
Forks: 221
Downloads: 11,450
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 36
Forks: 17
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT-0
No risk flags
Stale 6m No Package No Dependents

About genaiscript

microsoft/genaiscript

Automatable GenAI Scripting

Supports multi-model orchestration and tool integration through JavaScript, enabling programmatic prompt assembly with built-in file parsing (PDF, DOCX, CSV, XLSX), vector search, and schema validation. Provides VS Code integration for rapid iteration alongside command-line execution, with native support for GitHub Models, Copilot, OpenAI, Anthropic, local models via Ollama, and Model Context Protocol tools for agent-based workflows.

About generative-ai-prompt-engineering

build-on-aws/generative-ai-prompt-engineering

Sample code that helps us explore the world of generative AI through prompt engineering. It provides the resources for experimenting with this emerging skill through demos and sample applications such as simple chatbots.

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