Dependency Opportunity Scanner FAQs

Question 1

How does the scanner decide which libraries to recommend?

Accepted Answer

The skill evaluates library candidates based on popularity (npm downloads), maintenance frequency, bundle size impact, API quality, and license compatibility, prioritizing those with the highest benefit-to-effort ratio.

Question 2

Is it safe to let the AI automatically refactor my code?

Accepted Answer

Yes. The skill operates in an isolated git worktree and uses a test-driven development approach. It requires your explicit approval before making changes and provides a full PR for human review before any code is merged.

Question 3

Can I choose which opportunities to implement?

Accepted Answer

Absolutely. The skill presents a prioritized 'Dependency Opportunity Report' after the analysis phase, and you select exactly which (if any) recommendations you want the agent to execute.

Question 4

Will this increase my application's bundle size?

Accepted Answer

The workflow includes a dedicated impact analysis phase that calculates the minified bundle size increase, allowing you to make an informed decision on whether the maintenance savings outweigh the footprint.

Question 5

Does this work with languages other than JavaScript?

Accepted Answer

While the logic is optimized for the JavaScript/TypeScript ecosystem (npm/yarn), the underlying pattern detection and workflow strategy can be adapted for any language with a central package registry.

Dependency Opportunity Scanner

Dependency Opportunity Scanner

主な機能

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主な機能

ユースケース