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Teach

Turn the current conversation topic into an interactive lesson with spoken explanations and text diagrams in the terminal. Answer one question at each step, receive feedback, and check your understanding with a short quiz and recap.

中文简介正在准备中。当前显示英语简介。

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Interactive voice-narrated tutorial on whatever the current conversation is about — teaches the topic beat by beat with ASCII diagrams in the terminal while speaking the actual lesson content aloud, asking one question per beat and quizzing until the ideas land. USE WHEN teach me, /teach-me, tutorial, teach me this, walk me through this interactively, explain this like a lesson, learn mode, quiz me, help me actually understand what we just did. NOT FOR plain written explanations with no dialogue (just answer directly), authored/published content, or discovery interviews that shape a half-formed idea (use grill-me).

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适用场景

  • Understand the work you just completed
  • Learn a named topic step by step
  • Check your understanding with a quiz
  • Follow a process through text diagrams

包含的文件(2)

  • SKILL.md3.5 KB
  • Workflows/Teach.md4.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Teach

Turns the current conversation topic into a live, spoken, Socratic tutorial. Each teaching beat is narrated aloud through the voice system, drawn as ASCII in the terminal, and ends with one question to the learner. The session is a dialogue: answer, response, next beat, quiz, recap.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification:

    curl -s -X POST http://localhost:31337/notify \
      -H "Content-Type: application/json" \
      -d '{"message": "Starting a tutorial on TOPIC"}' \
      > /dev/null 2>&1 &
    
  2. Output text notification:

    Running the **Teach** workflow in the **Teach** skill to tutor TOPIC...
    

Workflow Routing

WorkflowTriggerFile
Teach"teach me", "/teach-me", "tutorial", "quiz me"Workflows/Teach.md

Gotchas

  • The completion hook already speaks the 🗣️ closer line. Never repeat the beat's narration in the closer or the learner hears it twice. The intended shape: the narration curl speaks the teaching, the closer carries the question — two distinct voice moments per turn.
  • Spoken text goes to TTS raw. No markdown, no ASCII art, no code, no symbols in the curl message — they get read aloud literally. Write narration as plain spoken English and spell out anything a voice would say differently ("H T T P" reads better than "HTTP" for some engines; when unsure, rephrase).
  • One narration curl per turn, ≲350 characters. Multiple rapid POSTs queue and overlap into noise, and long messages become a synthesized wall. If a beat needs more speech than that, the beat is too big — split it.
  • A beat ends at its question. Stop the turn there. Answering your own question and continuing turns the tutorial back into a lecture — the failure mode this skill exists to prevent.
  • Voice endpoint down (non-200 or connection refused): keep teaching, silently text-only. Note it once at session start; do not retry every beat.

Examples

Example 1: Teach the thing we just built

User: "teach me" (after a session debugging DNS records)
→ Invokes Teach workflow
→ Names the topic, speaks a spoken intro, draws a concept map of 3-5 ideas
→ Beat 1: speaks how DNS resolution flows, draws the resolver chain in ASCII, asks "which server actually holds the answer?"
→ User answers; skill responds to the answer, corrects or confirms, moves to beat 2
→ Ends with a 2-3 question quiz and a recap diagram

Example 2: Explicit topic override

User: "/teach-me OAuth refresh tokens"
→ Teaches the named topic instead of the conversation default
→ Same beat/question/quiz loop

Example 3: Quiz-only

User: "quiz me on what we just covered"
→ Skips the lesson beats, runs the quiz protocol directly on the session's material

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