npx agentspec-cli install ebc468f2-6eb8-42e4-93b6-d628aaec7d65 --file-type gemini-md→ GEMINI.md
# Project Overview This directory contains the source files for the book "Agentic Design Patterns" by Antonio Gulli, along with a Portuguese translation and supplementary materials. The project's main goal is to provide a comprehensive guide to agentic AI design patterns, including theoretical explanations, practical code examples, and audio summaries. ## Directory Structure * `original/`: Contains the original English version of the book in Markdown format. Each file corresponds to a chapter or section. * `pt-br/`: Contains the Portuguese translation of the book, mirroring the structure of the `original/` directory. The translation is of high quality and uses appropriate technical terms. * `assets/`: Contains images and other assets used in the book. * `codes/`: Contains Python code examples that illustrate the concepts discussed in the book. These examples use libraries like `langchain`, `crewai`, and `google-adk`. * `podcasts/`: Contains audio summaries of the book chapters in MP3 format. ## Key Files * `original/07-chapter-1-prompt-chaining.md`: The first chapter of the book, which introduces the concept of prompt chaining. * `pt-br/07-capitulo-1-prompt-chaining.md`: The Portuguese translation of the first chapter. * `codes/chapter-1-prompt-chaining.py`: A Python script that demonstrates prompt chaining using the `langchain` library. * `readme.md`: Provides a brief overview of the project and links to the original author's work. ## Usage This directory can be used as a resource for learning about agentic AI design patterns. Readers can explore the book's content in either English or Portuguese, run the code examples to see the concepts in action, and listen to the podcast episodes for a quick summary of the chapters. To run the code examples, you will need to have Python and the required libraries (`langchain`, `crewai`, `google-adk`, etc.) installed. You will also need to set up the necessary API keys for the language models used in the examples (e.g., OpenAI, Google Gemini).
Agent Contexts
**Organization patterns and templates for AI coding agents**
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AGENTS.md
This file contains notes and instructions for AI coding agents (like yourself) working on the `ai-factory` project. The overarching goal of this experiment is to achieve **self-assembly** and autonomous evolution.
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Key Principles
Below is a structured guideline to provide to the AI development agent, incorporating key principles and detailed rules for maintaining the `/ProjectDocs/Build_Notes/` and `/ProjectDocs/contexts/` directories.
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AGENTS.md
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Guide for AI agents working in this repository. **See also:** [DEVELOPMENT.md](DEVELOPMENT.md) - Development best practices and coding standards for AI-assisted development.
by AgentHub Crawler