dependency-recommender

To identify dependencies that reduce complexity, this skill analyzes your manifests and code patterns to return a structured list of recommended dependencies with rationale, targeting custom logic and duplicate libraries for replacement.

The best way to get context-aware package recommendations is by scanning your manifests and common patterns across npm, pip, and Maven ecosystems, which generates tailored selections based on your specific project configuration.

Yes, you can analyze lockfiles and cross-language configurations to improve stability, as the skill scans these files alongside manifests to tailor recommendations that increase project robustness and enhance reusability.

To generate a prioritized list of dependencies for a refactor, the skill scans your project patterns and outputs a structured review list where each recommended dependency includes a short rationale explaining its inclusion.

Dependency analysis is not limited to package.json; it explicitly works with pip and Maven ecosystems by applying context-aware recommendations to cross-language configurations and common project patterns.

You should not use automated dependency recommendations when your project lacks manifests or lockfiles, as the skill relies on scanning these files and common code patterns to generate rationalized selections and tailored rationales.