AI Agent Guidelines
Provides a suite of professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning via a Model Context Protocol server.
About
This Model Context Protocol (MCP) server delivers a comprehensive set of professional tools and templates designed to enhance AI agent development and interaction. It enables users to streamline complex tasks such as building structured prompts, ensuring code quality through hygiene analysis, generating visual diagrams, optimizing memory usage for efficient AI model interactions, and facilitating agile project planning. The server integrates seamlessly with chat clients and development environments like VS Code, offering a powerful toolkit for developers working with large language models and AI-driven workflows.
Key Features
- Mermaid Diagram Generation: Create professional diagrams (flowcharts, sequence, class, etc.) from text descriptions.
- Code Hygiene Analysis: Identify outdated patterns and hygiene issues within codebases.
- 0 GitHub stars
- Memory Context Optimization: Enhance prompt caching and optimize context window usage for AI models.
- Hierarchical Prompt Building: Construct structured prompts with clear hierarchies for AI models.
- Sprint Timeline Calculation: Calculate optimal development cycles and sprint timelines based on tasks and team size.
Use Cases
- Visualizing software architecture, processes, or data flows using auto-generated diagrams.
- Automating code quality checks and identifying areas for refactoring or improvement.
- Streamlining AI prompt engineering by building well-structured, hierarchical prompts.