dakini

Automated module detection tools scan your source tree to generate a paper_config.yaml, removing manual configuration bottlenecks for research documentation by mapping codebase structure directly into documentation planning templates.

Module detection for research paper documentation scans a codebase to identify source modules and extract focus areas. It serves repositories requiring automated module discovery to guide literature synthesis and structured report planning.

Extract module priority and focus areas by running an automated scanner over your src/ directory. It detects modules under the source tree and determines their priority to guide literature synthesis, outputting a structured configuration file.

Yes, pyyaml is required because the configuration generation process relies on it to parse and output the structured paper_config.yaml file. This dependency serializes detected module data into the final YAML format.

Automated documentation generation supports large source trees by performing module discovery under the src/ path and producing modular configurations. It applies to repositories requiring automated module discovery and documentation planning at scale.