seldon-teach

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Deliver knowledge adaptively — narrative for humans, structured for agents, with source citations

GuitarAlchemist By GuitarAlchemist schedule Updated 3/17/2026
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name: seldon-teach description: Deliver knowledge adaptively — narrative for humans, structured for agents, with source citations

Seldon Teach

Deliver knowledge from the Streeling three-layer curriculum.

Usage

/seldon teach [topic] [learner-type]

  • learner-type: human (narrative + analogies) or agent (structured + policy refs)

Process

  1. Identify which knowledge layer the topic belongs to (governance/experiential/domain)
  2. Gather source material (governance artifacts, PDCA outcomes, NotebookLM notebooks)
  3. Adapt delivery mode to learner type
  4. Deliver with source citations
  5. Hand off to /seldon assess for comprehension verification

NotebookLM Knowledge Base

  • Compound the Compounding — meta-engineering, DSL evolution
  • Probabilistic Grammars — constrained reasoning, neuro-symbolic AI
  • Semantic Event Routing — multi-agent orchestration, bounded fuzziness
  • Microsoft AI Agents — agentic patterns, 12 lessons

Query NotebookLM: use mcp__notebooklm__ask_question with the relevant notebook_id.

Source

policies/streeling-policy.yaml, logic/knowledge-state.schema.json

Install via CLI
npx skills add https://github.com/GuitarAlchemist/Demerzel --skill seldon-teach
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Occupations
Computer Science Teachers Postsecondary
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