Finalize tutoring sessions by calculating concept-based XP and collecting structured feedback.
npx skills add https://github.com/Flagrare/llm-tutor --skill tutor-done
Please help me install this Agent Skill. Skill: tutor-done Source: https://github.com/Flagrare/llm-tutor/tree/main/plugins/llm-tutor/skills/tutor-done Command: npx skills add https://github.com/Flagrare/llm-tutor --skill tutor-done
This skill resolves the ambiguity of ending a learning session by formalizing the completion process, calculating earned experience points, and capturing structured feedback to improve the tutoring experience.
Invoke the tutor-done skill to finalize your current learning topic and receive your XP summary.
High-intent search queries and answers about installing and using this skill.
To close a tutoring session and calculate XP, invoke the tutor-done skill to finalize your current learning topic. It automatically computes mastery-based experience points from your first-attempt performance across concepts and updates your progress.
Gamified progress tracking works by calculating concept-based experience points and updating the system state when you end a study session. It manages tier transitions and logs session data to ensure your learning progress is accurately persisted.
Yes, you can collect structured feedback to improve your tutoring pedagogical approach. The skill executes a two-step feedback mechanism featuring thumbs ratings and rotating questions to capture qualitative data for continuous refinement.
Yes, you need jq installed to finalize a learning session and track progress. The skill requires the jq dependency to operate on the user's current learning state and execute the structured feedback collection flow successfully.
The best way to manage tier-up notifications during a tutoring session is to use the tutor-done skill. It handles tier transitions automatically by updating the user's progress in the system state and cycling rewards upon session completion.
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