code-archaeologist

🥈Silver

@udaybandaru

A production-ready skill system that gives Claude Code deep understanding of codebase evolution.

1000Updated Today

Intermediate30min to implementautomation

Saves ~75 min per use

Quick InstallView Source

git clone https://github.com/udaybandaru/code-archaeologist.git

Works with:

Claude

Overview

About This Skill

A production-ready skill system that gives Claude Code deep understanding of codebase evolution.

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/udaybandaru/code-archaeologist

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

Act as a code archaeologist. Analyze the evolution of [CODEBASE] in [PROGRAMMING_LANGUAGE] from [START_DATE] to [END_DATE]. Identify key architectural changes, major refactoring efforts, and significant technical debt accumulation. Provide a timeline of these changes with code examples and explain the motivations behind each change. Focus on understanding the intent of the original developers and how the codebase has adapted to new requirements over time.

Example Output

# Codebase Evolution Analysis: E-Commerce Platform (2015-2023)

## Key Architectural Changes

### 2017: Microservices Transition
- **Change**: Monolithic architecture split into microservices
- **Motivation**: Scalability issues with increasing user base
- **Code Example**:
```python
# Original monolithic service
class OrderService:
    def __init__(self):
        self.inventory = InventoryService()
        self.payment = PaymentService()
```

### 2019: Introduction of Event Sourcing
- **Change**: Event-driven architecture implemented
- **Motivation**: Need for better audit trails and data consistency
- **Code Example**:
```python
# Event sourcing implementation
class OrderEventHandler:
    def handle_order_created(self, event):
        # Process order creation event
        self.publish_event('OrderCreatedEvent', event)
```

## Major Refactoring Efforts

### 2020: Payment Processing Refactor
- **Reason**: PCI compliance requirements
- **Impact**: 3-week downtime for payment subsystem

## Technical Debt Accumulation

### 2018: Legacy Payment Gateway Integration
- **Debt**: Tight coupling with obsolete payment provider
- **Consequence**: Increased maintenance costs and migration challenges

## Evolution Timeline

1. **2015**: Initial monolithic architecture
2. **2017**: Microservices transition begins
3. **2019**: Event sourcing implemented
4. **2020**: Payment processing refactor
5. **2022**: Migration to cloud-native infrastructure