Expand raw interview question seeds into dual-language Markdown files.
npx skills add https://github.com/josenaldo/gca-toolkit --skill process-question
Please help me install this Agent Skill. Skill: process-question Source: https://github.com/josenaldo/gca-toolkit/tree/main/skills/process-question Command: npx skills add https://github.com/josenaldo/gca-toolkit --skill process-question
This Skill solves the bottleneck of manually drafting high-quality interview preparation materials by automating the expansion of raw question seeds into structured, professional-grade Q-files.
Activate the skill by typing process-question followed by the specific question ID you wish to expand from your backlog.
High-intent search queries and answers about installing and using this skill.
Dual-language interview preparation files are structured Markdown documents containing both EN and PT translations. They follow a strict canonical template to maintain professional-grade formatting and consistent voice across career development materials.
Generating dual-language interview files requires access to a structured backlog, a personal user roadmap, and reference templates. These inputs ensure the expanded content reflects your specific career positioning and maintains strategic voice alignment.
Yes, a structured backlog is required to automate interview question expansion. The Skill pulls raw question IDs from this backlog and uses your roadmap and reference templates to generate contextually aligned, dual-language Markdown files.
Career roadmap integration works by pulling personal positioning data and GCA domain knowledge during content generation. This ensures expanded interview answers reflect your specific career trajectory and maintain strategic alignment with professional goals.
Yes, you can manage backlog status updates automatically during interview question expansion. The workflow automatically updates backlog status and links related notes to keep your vault organized after generating Q-files.
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