What problem does it solve?
This skill solves communication friction between AI assistants and users who rely on voice dictation or rapid, stream-of-consciousness input, preventing misunderstandings and costly task thrash.
Core Features & Use Cases
- Assumption Surfacing: Explicitly identifies and validates load-bearing assumptions before executing code or changing scope.
- Terminal-Optimized Formatting: Uses specific tagging and bottom-line positioning to ensure critical corrections are read first in terminal-based chat interfaces.
- Use Case: When a user provides a long, rambling dictated request with multiple self-corrections, this skill forces the AI to summarize its interpretation and surface key assumptions before taking any irreversible action.
Quick Start
Activate the speak-to-zach protocol to ensure all future responses lead with the bottom line and explicitly surface any assumptions made during our conversation.