Generate ordered learning paths from vault notes with tiered staging and read-time estimates.
npx skills add https://github.com/wtyler2505/ProtoPulse --skill vault-teach
Please help me install this Agent Skill. Skill: vault-teach Source: https://github.com/wtyler2505/ProtoPulse/tree/main/.claude/skills/vault-teach Command: npx skills add https://github.com/wtyler2505/ProtoPulse --skill vault-teach
Generate a structured, topic-focused learning path from the Ars Contexta vault to accelerate pedagogy, ensure coherent progression, and tailor content to different learner audiences.
Provide a topic and optional audience to generate a tiered, step-by-step learn path from Ars Contexta vault.
High-intent search queries and answers about installing and using this skill.
Generate a structured learning path by providing a topic and optional audience to auto-build a tiered, pedagogically staged progression from foundation to pre-test sourced from vault notes.
The foundation to deep-dive model stages learning sequentially as foundation, mechanism, application, deep-dive, and pre-test, ensuring coherent pedagogical progression and tailored content for different learner audiences.
Yes, you can create tiered learning paths adjusted for beginner, intermediate, and expert audiences by specifying the desired audience level when requesting the vault note learning path.
Resume a learning path by optionally providing a specific slug or topic as a starting point, allowing the generated sequence to pick up from that exact position in the staged progression.
Yes, the learning path generator includes read time estimates for each step, providing clear expectations for the time required to progress through each staged vault note.
Resolve topics by gathering candidate notes via knowledge-base notes or qmd_deep_search results, surfacing the most relevant material and relationships to source the ordered learning path.
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