codebase-scanner

To document a technology stack before migration, you can generate a factual inventory of the project's languages, frameworks, and build tools by scanning the source tree. This produces a comprehensive markdown report detailing the existing footprint.

The best way to detect programming languages in a source tree is to perform a comprehensive codebase scan that identifies every language in use, including TypeScript, JavaScript, Python, C#, and Java, and outputs the results in a markdown report.

Yes, codebase scanning identifies popular web frameworks, libraries, and toolchains like React, Angular, Django, and Webpack. It detects these technologies alongside the project's programming languages to build a complete inventory.

Yes, you can generate a codebase inventory without external dependencies. The codebase-scanner is a community Skill with no listed dependencies, allowing you to run it directly on your project's source code to produce the report.

The technology stack inventory report uses markdown format. After scanning the source code and detecting languages, frameworks, and tools, the Skill outputs a detailed markdown document with statistics and descriptions of the detected technologies.

You need to perform a codebase inventory when you are beginning migration, assessment, or modernization work. It documents all existing languages, frameworks, build tools, and entry points to establish a factual baseline of the project before making changes.