The paper aims to propose a competency-driven preference method based on comprehensive performance information of design resourcesto solve the problem of the preference decision of team members in a service-oriented virtual collaborative innovation environment. Starting from the design task workflow, the optimization and reorganization of design tasks based on design capabilities and task granularity are analyzed. Taking into account the personal information of design resources, collaborative ability and interest pursuit, the optimization index system based on comprehensive performance information and the matching model of resources and tasks are constructed, and the optimal solution is gained by means of comprehensive linear calculation. The method is applied to the resource selection of a tractor’s CMF design and development task, and the feasibility and effectiveness of the proposed method are verified. The capability-driven optimization and matching strategy based on the comprehensive performance information of resources can effectively exploit the advantages of resources and improve the scientific of matching.