Transform technical documents into structured learning journeys with mastery verification.
npx skills add https://github.com/adamos486/skills --skill teach-adamos486
Please help me install this Agent Skill. Skill: teach Source: https://github.com/adamos486/skills/tree/main/teach Command: npx skills add https://github.com/adamos486/skills --skill teach-adamos486
This Skill turns dense technical documents into structured, rigorous learning journeys that enforce collegiate-style mastery. It uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification to ensure durable understanding before moving forward.
To begin a learning session, reference the documents you want mastered: /teach @doc1.md @doc2.md or simply /teach to prompt for topic/files.
High-intent search queries and answers about installing and using this skill.
To turn technical documentation into a structured learning path, reference your files to initiate a session that breaks content into teachable chunks with explicit mastery criteria and Bloom's taxonomy progression.
Mastery verification works by enforcing an 80% threshold across multi-level assessments, requiring learners to demonstrate understanding through 3-5 questions per chunk before advancing to subsequent material.
Yes, you can use Bloom's taxonomy progression for professional onboarding by applying the framework to technical documents, ensuring learners progress through Remember, Understand, Apply, Analyze, Evaluate, and Create levels.
If a learner fails a mastery assessment, the session management workflow includes probing prerequisites and reteaching material when needed, preventing advancement until the 80% mastery threshold is met.
Yes, session management supports progress tracking and backfilling by recording detailed session logs, enabling consolidation across chunks, and allowing sessions to be updated over time for continuous education.
The best way to assess prior knowledge before starting a learning journey is through the intake process, which probes prerequisites during initial chunking to determine if reteaching is needed before advancing.
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