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Speak Socratic questions aloud using text-to-speech (kokoro-onnx, am_michael voice)
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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.