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.
git clone https://github.com/JordanCoin/codemap.githttps://github.com/JordanCoin/codemap
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.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/JordanCoin/codemapCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Provide a comprehensive architectural overview for the project [PROJECT_NAME]. Include key components such as [COMPONENTS], their interactions, and any relevant technologies used. Additionally, outline potential challenges and solutions related to [SPECIFIC_ASPECT].
For the project 'SmartHome Automation', the architectural overview includes the following key components: the central control hub, IoT devices (thermostats, lights, security cameras), and the mobile application. The control hub communicates with IoT devices via MQTT protocol, allowing real-time updates and commands. The mobile app serves as the user interface, enabling remote access and control of the system. Potential challenges include ensuring data privacy and managing network latency. To address these, implementing end-to-end encryption for data transmission and optimizing the device communication protocols can enhance security and performance. Overall, this architecture supports a seamless user experience while maintaining robust security measures.
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