inky-gigachad

🥈Silver

Inky analyzes GitHub repositories to generate personalized coding rules. It integrates with AI coding assistants to maintain consistent coding styles across IDEs. Developers benefit from standardized codebases, reducing errors and improving collaboration.

1400Updated 2mo ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/enkhbold470/inky-gigachad.git

Works with:

Claude

Overview

About This Skill

Inky is a memory layer for personalized coding that analyzes your GitHub repositories to extract coding patterns and generate custom rules. The tool integrates seamlessly with AI coding assistants like Cursor, Windsurf, Claude Code, and CodeX through the Model Context Protocol (MCP). Inky solves the problem of inconsistent coding styles across different development environments and team members by creating version-controlled, searchable rules that maintain codebase standards. Developers use Inky to reduce errors, improve collaboration, and enforce consistent coding practices without manual style guides. The platform combines repository analysis, AI-powered rule generation, and semantic search to deliver personalized coding standards.

How to Use

Clone the repository and install dependencies with pnpm. Configure environment variables for PostgreSQL (Neon), Clerk authentication, Pinecone vector search, and OpenAI API. Set up Clerk for GitHub OAuth and Pinecone with a 1536-dimension index, then run pnpm dev. Configure MCP integration in your IDE settings using HTTP or stdio transport with your user ID.

Use Cases

Enforce consistent code style across team members working in different IDEs

Generate coding standards automatically from existing repository patterns

Maintain personalized rules that work across Cursor, Claude Code, and Windsurf

Create version-controlled coding guidelines with semantic search capabilities

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/enkhbold470/inky-gigachad

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the [REPOSITORY] in the [COMPANY] GitHub account. Generate personalized coding rules based on the existing codebase. Ensure the rules align with [INDUSTRY] standards and best practices. Provide a detailed breakdown of the rules and how they can be integrated with AI coding assistants.

Example Output

# Coding Rules for [REPOSITORY]

## Indentation and Formatting
- Use 4 spaces for indentation.
- Ensure consistent spacing around operators and after commas.
- Limit line length to 120 characters.

## Naming Conventions
- Use camelCase for variable and function names.
- Use PascalCase for class names.
- Use UPPER_CASE for constants.

## Documentation
- Include JSDoc comments for all public methods.
- Provide a brief description of the purpose of each function.

## Error Handling
- Use try-catch blocks for asynchronous operations.
- Validate all user inputs before processing.

## Integration with AI Coding Assistants
- Configure the AI assistant to enforce these rules during code reviews.
- Set up automated checks to flag violations of these rules.

## Example Rule Implementation
```javascript
// Example function adhering to the rules
function calculateTotalPrice(items) {
  let total = 0;
  for (const item of items) {
    total += item.price;
  }
  return total;
}
```