voice-first-planning

To convert speech to text for feature spec writing, you dictate raw thoughts and the Skill processes the transcript using LLMs to generate structured documents like feature specifications, requirements, and architectural decisions.

Typing limits initial ideation and spec writing by enforcing self-editing that filters out context. Speaking thoughts naturally captures richer intent and unfiltered ideas for LLMs to structure into formal documents.

Yes, you can dictate architectural decisions and have AI structure them into requirements. The Skill processes raw spoken transcripts to generate organized formal requirements, feature specs, and architectural documents.

The best way to capture unfiltered ideas for new feature ideation is speaking freely without self-editing. The Skill preserves this raw context and uses LLMs to structure it into formal feature specifications.

You need a speech-to-text tool to capture raw transcripts before this Skill processes them. The Skill leverages speech-to-text tools and LLMs to structure spoken language into formal feature specifications.