generate-entity-context

You can automate feature documentation by scanning code directories to identify entry points and services, then generating structured CONTEXT.md files to provide technical briefings for AI entities.

A CONTEXT.md file provides standardized technical documentation for codebase features, capturing quick facts, architecture, key files, and dependencies to facilitate AI entity maintenance and code analysis.

Run the generate-entity-context command with the target feature path. It analyzes the directory structure and uses a template to output the CONTEXT.md documentation file.

Yes, Python is required as the execution environment for running the code analysis scripts and generating the standardized feature documentation files.

Using template-based documentation generation ensures consistent technical briefings by automatically extracting architecture, key files, and dependencies into a standardized CONTEXT.md format for each feature.

Feature documentation generation scans directories to identify entry points, services, state management, and test files, mapping these elements into the generated CONTEXT.md template.