Interactive project learning coach via interview-style Q&A. Reads codebase and docs, dynamically generates interview questions per knowledge domain and sub-topic, conducts up to 4 follow-up rounds, scores answers, provides learning guidance with code/doc references, and persists progress. 10 domains × 3-5 sub-topics = 45 knowledge points for comprehensive interview coverage. Use when user says '学习项目', '了解项目', '检验项目', '项目学习', '面试准备', 'learn project', 'study project', 'review project', 'interview prep', 'knowledge check', or wants to understand/master the project through guided Q&A.
How to install project-learner?
jerry-ai-dev/modular-rag-mcp-server/project-learner
$npx -y skills add jerry-ai-dev/modular-rag-mcp-server --skill project-learnerInstalls into the current project.
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Run `npx skills use "https://github.com/jerry-ai-dev/modular-rag-mcp-server" --skill "jerry-ai-dev/modular-rag-mcp-server/project-learner"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jerry-ai-dev/modular-rag-mcp-server" that are relevant to the current task. Run `npx skills add "https://github.com/jerry-ai-dev/modular-rag-mcp-server"` and select the relevant skills, then follow their instructions.
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