Generate a cacheable Stage 0 YAML fingerprint by scanning a codebase subset.
npx skills add https://github.com/lis186/SourceAtlas --skill overview-lis186
Please help me install this Agent Skill. Skill: overview Source: https://github.com/lis186/SourceAtlas/tree/main/plugin/commands/overview Command: npx skills add https://github.com/lis186/SourceAtlas --skill overview-lis186
This Skill helps teams quickly understand a project by generating a Stage 0 fingerprint with a minimal scan, reducing the time spent on manual exploration.
Run the overview skill to generate a fingerprint by scanning a subset of the repository (default: current directory). You can also pass a path to focus the scan, for example: /sourceatlas:overview path/to/module.
High-intent search queries and answers about installing and using this skill.
To generate a project fingerprint for codebase onboarding, run the overview skill to scan a subset of your repository. It outputs a YAML file capturing the core structure, prioritizing configuration, models, and entry points for rapid architecture reconnaissance.
A Stage 0 fingerprint in architecture reconnaissance is a concise YAML representation of a codebase's core structure. It captures high-entropy targets like documentation and configurations from a minimal scan, enabling rapid understanding and historical comparison of multi-language repositories.
To scan a specific module and get a project overview, pass the target directory path as an argument to the overview skill. This focuses the fingerprinting process on the specified module rather than the default current working directory.
Yes, you can cache codebase fingerprints for rapid re-analysis. The overview skill generates a cacheable YAML fingerprint, allowing teams to perform historical comparisons and quickly re-evaluate project architecture without scanning the entire codebase again.
Yes, architecture fingerprinting works with multi-language repositories. The overview skill targets onboarding and rapid reconnaissance across various languages and configurations by prioritizing high-entropy files like models, documentation, and entry points to form a concise overview.
When generating a project fingerprint, the overview skill prioritizes high-entropy files such as documentation, configuration files, models, and entry points. This ensures the concise output captures the most critical components of the codebase structure.
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