by masci · LLM Plugin · ★ 127
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banks Banks) is the linguist professor who will help you generate meaningful LLM prompts using a template language that makes sense. If you're still using for the job, keep reading. Docs are availab
| Stars | 127 |
| Forks | 20 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 55.83/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-18 |
| Created | 2023-06-04 |
| Platforms | python |
| Est. Tokens | ~16k |
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banks is LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management. It is categorized as a LLM Plugin with 127 GitHub stars.
banks is primarily written in Python. It covers topics such as chatgpt, llm, nlp.
You can find installation instructions and usage details in the banks GitHub repository at github.com/masci/banks. The project has 127 stars and 20 forks, indicating an active community.
banks is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to banks on Agent Skills Hub include Awesome-LLM-Eval, ai-microcore, gateway. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.