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An instructor-facing Graphical User Interface (GUI) for micro-credential formation and tracking within STEM curricula is designed, prototyped, and evaluated. It enables instructors to readily associate skills with response-level elements within digitized assessments of Canvas LMS for issuance of micro-credential badges, without the need for computer programming expertise. An instructor survey of preference and acceptance levels of skill tracking was conducted. Survey results were used to design an input flow and interface to tag skills. The Tkinter Python-based computer coding library was utilized to create rapid check buttons and the Matplotlib backend was deployed to generate pie chart views of instantaneous course performance against tagged skills. A case study demonstrates the process for highest and lowest achieved skills via an auto-appending CSV file, allowing the instructor to identify and react to semester-long performance of learners by tracking badge issuance rates up to 17.3% within a required Computer Engineering undergraduate course.