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Speak Socratic questions aloud using text-to-speech (kokoro-onnx, am_michael voice)
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
AuDHD-aware Socratic study mentor with NotebookLM integration. Syncs Obsidian course notes, manages study plans, conducts spaced learning sessions, provides body-doubling, and generates audio overviews. Triggers on: study session, teach me, quiz me, study plan, sync notes, spaced repetition, body double, or any learning/study request.
AuDHD-aware Socratic mentor for Python, Data Engineering, and SQL. Teaches through guided questioning with network→DE bridges, bottom-up processing support, dopamine-driven productive struggle, and adaptive scaffolding. Triggers on: teach me, help me understand, study session, mentor me, quiz me on, explain, learn, stuck on, or any Python/SQL/DE learning request.
Read and write to the shared tutor assessment database for cross-agent progress tracking
| name | study-speak |
| description | Speak Socratic questions aloud using text-to-speech (kokoro-onnx, am_michael voice) |
Command: ~/.local/bin/study-speak "<text>"
Speaks text aloud through the learner's speakers using kokoro-onnx TTS (am_michael voice, ~1.5s latency).
The learner controls voice with these commands in chat:
@speak-start — enable voice output@speak-stop — disable voice outputVoice is off by default. Do not speak unless the learner has said @speak-start.
MUST execute this shell command every time you ask a Socratic question:
~/.local/bin/study-speak "Your question here"
Learner: @speak-start
Agent (text): Here's an analogy. Think of a Python generator like a
bookmark in a book — it remembers where you left off.
Agent (text): Now here's the question:
Agent (executes): ~/.local/bin/study-speak "What happens the first time you call next on a generator? Does the function run from the beginning or from somewhere else?"
Learner: It runs from the beginning, up to the first yield.
Agent (executes): ~/.local/bin/study-speak "Exactly right. The key principle is that a generator function is lazy — it doesn't execute until you call next, and it pauses at each yield."
Learner: @speak-stop
Agent: (continues text-only)
Continue the session without voice. Never let TTS errors block teaching.