project-conventions

Document and enforce project-specific coding conventions for AI agents.

1|Updated Jul 16, 2023
One-click install
npx skills add https://github.com/jmservera/aithena --skill project-conventions-jmservera
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-conventions
Source: https://github.com/jmservera/aithena/tree/main/.squad/templates/skills/project-conventions
Command: npx skills add https://github.com/jmservera/aithena --skill project-conventions-jmservera

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a standardized way to document and communicate the core conventions, patterns, and anti-patterns used within a codebase, ensuring consistency and improving agent understanding.

Core Features & Use Cases

  • Codebase Conventions: Documents specific practices for error handling, testing, code style, and file structure.
  • Agent Guidance: Trains AI agents on project-specific norms to improve code generation and review quality.
  • Use Case: An AI agent needs to understand how to properly log errors in the project. By consulting the project-conventions Skill, it learns to use a specific logging library and format.

Quick Start

Consult the project-conventions skill to understand the error handling strategy for this codebase.

Frequently Asked Questions about project-conventions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce coding standards and project conventions for AI agents?

You can enforce coding standards by documenting project-specific conventions, patterns, and anti-patterns for AI agents. This ensures consistent development by detailing error handling, testing frameworks, code style, and file organization.

What is the best way to document code style and anti-patterns for an AI codebase?

The best way to document code style is to create a standardized reference that communicates core conventions and anti-patterns. This improves AI agent understanding and ensures consistency across the codebase.

How do I make an AI agent follow specific error handling and testing frameworks?

To make an AI agent follow specific error handling and testing frameworks, you provide it with documented project guidelines. Consulting these conventions trains the agent on project-specific norms for code generation.

Does documenting project guidelines improve AI code generation quality?

Documenting project guidelines does improve AI code generation quality by training AI agents on established project norms. This ensures adherence to specific practices for error handling, code style, and file structure.

Can I use a single reference to manage file organization and code style for AI development?

Yes, you can use a single reference to manage file organization and code style. It documents specific practices and facilitates consistent development by ensuring AI adherence to established project guidelines.

When do I need to define project-specific coding conventions for AI agents?

You need to define project-specific coding conventions when you want to ensure consistency and improve agent understanding across your codebase. This is essential for maintaining quality in error handling, testing, and code style.