LLM Essentials - Library of Skills, Agents, Workflows

A curated collection of AI agents, skills, workflows, etc., that can work across industries - providing Python-based utility functions to synchronize the library across multiple systems using a version-controlled system. The project also provides connectors for universal loading across different LLM tools (Anthropic's Claude Code, CodeX, Cursor AI, etc.) that can read skills either directly (Claude Code) or follow prompts based control. 🤖✨

🧠 Introduction to LLM Library

Artificial Intelligence (AI) systems are revolutionizing the way industries operate. From everyday tasks to specialized, automated tasks - AI brings efficiency, innovation, and scalability. With the release of Claude Skills, AI Agent Skills and other niche, fast-paced developments in this space - it is now a fundamental requirement to maintain a unified, standardized repository of these capabilities.

🤖 Project Capabilities

The project provides a curated list of AI agents, skills, and other essential tools that enhances the way AI agents works and performs. In addition, the skills also provides different customization rules (e.g., generate an code output the way you write code, or generate email content based on your own writing styles).

• A categorized list of AI Skills in a standard Agent Skills format to give new capabilities and expertise.
• A list of AI Agents to break tasks into seperate functional groups that can work concurrently or in a sequential manner as per the design pattern.
• A dedicated open-source Python framework to manage all above skills, agents, etc. from any version controlled remote repositories across different systems and projects using single source of truth.
• A set of adapters to convert standard Agent Skills to other AI coding agents (which does not support native SKILLS.md, or AGENTS.md file) by converting files to prompts.

🚀 Getting Started

LLM Tools like Anthropic's Claude Code can directly work with the Agent Skills format that invokes SKILLS.md (or AGENTS.md) file natively based on skill description or keywords defined in a settings file. However, some other tools may require an adapter to safely convert to system prompts. The Python framework is designed to address the issue by importing the required skills from any version controlled systems such that one single source of truth can be maintained across different production environment or projects having the same functionalities - thus providing consistent output.

The package is hosted at PyPI and can be installed using the pip package manager as:

$ pip install polyskills

To install the package from source, you need to have git client available on your system and install the binaries using the below command:

$ git clone https://github.com/PyUtility/polyskills
$ pip install . # cd into polyskills; editable install using -e

The **library** requires Python 3.12+ and is designed to have minimal overheads, thus providing long-term compatibility with the upcoming releases (requires standard libraries which is shipped by default) of Python language and AI tools.

⚖️ Project License

This project is licensed under the MIT License. Permission is granted to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software. The software is provided “as is”, without warranty of any kind, express or implied. See the LICENSE file for full details.

⚠️ Project Disclaimer

The project provides a curated lists of skills, agents, etc. which can alter the performance of AI tools significantly. AI makes mistakes and the tools listed here can worsen the performance. Please read, verify and research before using any content.

AI tools often charges based on token consumptions (approx. number of input + output words) and using contents from this library may significantly increase the consumption cost. Always check and track usage of the model with/without using the skills.