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Code selection evaluates candidate references across four dimensions—tech stack compatibility, feature coverage, adaptation cost, and code quality—then scores and ranks them to identify the best match for your requirements. The Skill outputs the top candidate with an adaptation plan and alternative options.

Multi-criteria evaluation assesses tech stack fit, feature coverage, adaptation effort required, and code quality. Each dimension is scored on a predefined scale and can be weighted according to your project's priorities to produce a ranked selection.

Yes. The Skill supports optional custom weights for the four evaluation dimensions, allowing you to emphasize tech stack compatibility, feature completeness, adaptation cost, or code quality based on your project's specific needs.

After selecting the best candidate, the Skill outputs a structured adaptation plan that details the steps required to integrate and customize the reference code to match your project's requirements.

Yes. The Skill supports historical_success input to track and learn from past selections, improving future recommendations based on which candidates performed well in similar contexts.

Strict mode applies mandatory filtering rules to candidate evaluation, ensuring only references meeting your highest standards advance to the scoring phase, reducing risk in candidate selection.