LLM Prompt Library

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Basic Information

This repository is a curated, evolving library of experimental prompts and Jinja2 templates designed to provide ready-made and modifiable prompts for large language models. It collects 164 enterprise-style Jinja2 templates across domains including Finance, Private Equity, Venture Capital, Legal, Medical, Pro Code, AI Research and Governance, and more than 60 community prompts organized by categories such as Programming, Writing, Finance, Medical, Legal, Marketing and Creative. Templates are written to be filled with parameters or edited inline and then rendered and sent to an LLM. Several enterprise templates are aligned with standards and regulatory goals mentioned in the README such as Basel, ILPA, IFRS, GDPR, HIPAA, FHIR and OWASP. The project is presented as an experimenter’s prompt library for prompt engineering and template reuse rather than a standalone application.

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Features
A large collection of Jinja2 enterprise-style templates (164) covering finance, legal, medical, governance, pro code and AI research use cases. Over 60 curated community prompts organized by domain, including programming, writing, meta prompt-engineering examples and creative prompts. Templates reference compliance or standardization goals where applicable, for example Basel/IFRS for finance, ILPA for private equity, GDPR/HIPAA for legal/medical, FHIR for clinical contexts and OWASP for code security. Simple usage model: copy a .j2 template, fill params or edit placeholders, render and send to your chosen LLM. No external Python libraries or special template loaders are required. The README also highlights community and star history metrics showing active maintenance.
Use Cases
The library accelerates prompt engineering by offering reusable, domain-specific templates that reduce the need to write prompts from scratch. Enterprise-style templates help teams produce prompts aligned with regulatory or standards goals in sensitive domains such as finance, healthcare and legal work, which aids consistency and auditability. Community prompts provide examples for programming help, writing tasks, debugging and creative generation, which can be used for rapid prototyping. The Jinja2 format allows parameterization and templated workflows so prompts can be programmatically generated or adapted for experiments across different LLMs. The project is useful to researchers, engineers and practitioners who want a practical starting point for LLM prompt design and standardization.

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