codemap

🥈Silver

codemap provides instant architectural context to LLMs, reducing token usage. Developers and operations teams benefit from faster, more accurate AI responses. It integrates with CLI tools and project management workflows.

506350Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/JordanCoin/codemap.git

Works with:

Claude

Overview

About This Skill

https://github.com/JordanCoin/codemap

How to Use

["1. **Install codemap**: Integrate codemap with your CLI tools by following the installation guide on the official website. Ensure it's compatible with your project management workflows (e.g., GitHub, GitLab, or Bitbucket).","2. **Prepare your repository**: Make sure your project is well-organized and follows a consistent coding style. Codemap works best with modular, well-documented code.","3. **Generate a codemap**: Use the prompt template provided above, replacing the placeholders with your project name, specific module, and any other relevant details. Run the prompt in your preferred AI tool (e.g., Claude or ChatGPT).","4. **Analyze the output**: Review the codemap analysis, focusing on the architectural context, key dependencies, data flows, and recommendations. Use this information to optimize your module and improve your project's overall architecture.","5. **Iterate and improve**: Based on the codemap analysis, make necessary changes to your code. Regenerate the codemap to see the impact of your changes and continue iterating until you achieve the desired results."]

Use Cases

Quickly visualize the structure of a project to understand its architecture.

Analyze dependencies in your code to identify potential issues or optimize performance.

Track changes in your codebase with diff mode to ensure code quality.

Generate a skyline view of your project to present to stakeholders or team members.

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/JordanCoin/codemap

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

Generate a codemap for the [PROJECT_NAME] repository. Focus on the [SPECIFIC_MODULE] module. Highlight key dependencies, data flows, and architectural patterns. Include recommendations for optimizing the [SPECIFIC_MODULE] module based on the codemap analysis.

Example Output

Based on the codemap analysis of the 'E-Commerce Platform' repository, focusing on the 'Payment Processing' module, here are the key insights:

1. **Architecture Overview**: The module follows a layered architecture with clear separation between API, business logic, and data access layers. The module heavily relies on external payment gateways (Stripe, PayPal) and internal services like 'Order Management' and 'Inventory'.

2. **Key Dependencies**: The module has direct dependencies on 'Order Management' (synchronous) and 'Inventory' (asynchronous) services. It also integrates with third-party payment gateways via REST APIs.

3. **Data Flows**: Payment requests flow from the API layer to the business logic layer, which orchestrates the payment process. Successful payments update the 'Order Management' service, while failures trigger refunds and notifications.

4. **Recommendations**: To optimize the 'Payment Processing' module, consider the following:
   - Implement a circuit breaker pattern for third-party payment gateway calls to handle failures gracefully.
   - Introduce caching for frequently accessed payment methods and customer payment details to reduce latency.
   - Consider event-driven architecture for asynchronous updates to 'Inventory' to improve scalability.

5. **Token Usage**: This codemap analysis used approximately 30% fewer tokens than a traditional code analysis, thanks to the structured architectural context provided by codemap.