voice-note-ingest

Transcribe voice notes verbatim and route them into a knowledge graph.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/Ninatuzi/gbrain --skill voice-note-ingest-ninatuzi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice-note-ingest
Source: https://github.com/Ninatuzi/gbrain/tree/main/skills/voice-note-ingest
Command: npx skills add https://github.com/Ninatuzi/gbrain --skill voice-note-ingest-ninatuzi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of losing the nuance and raw insight found in stream-of-consciousness voice notes by ensuring they are captured, transcribed, and filed into your knowledge graph without paraphrasing or loss of detail.

Core Features & Use Cases

  • Verbatim Preservation: Enforces an Iron Law that prohibits paraphrasing, ensuring the user's exact words and tone are preserved in the brain.
  • Intelligent Routing: Automatically categorizes voice notes into specific directories like originals, concepts, people, or companies based on content analysis.
  • Cross-Linking: Automatically creates timeline back-links to relevant entities, ensuring that new insights are connected to existing knowledge.

Quick Start

Use the voice-note-ingest skill to transcribe and file the audio message I just uploaded into the appropriate brain directory.

Frequently Asked Questions about voice-note-ingest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture voice notes without losing the original context?

Voice note ingestion preserves verbatim transcripts to capture spontaneous ideas and meeting reflections without paraphrasing. It enforces rules prohibiting paraphrasing and archives exact words by routing transcripts into a structured knowledge graph.

How does voice transcription route into a knowledge graph?

Voice transcription routes into a knowledge graph using a decision-tree-based filing system. It analyzes content to automatically categorize audio transcripts into directories like originals, concepts, people, or companies while maintaining data integrity.

Can I automatically cross-link voice transcripts to existing entities?

Yes, you can automatically cross-link voice transcripts to existing entities. The ingestion process creates timeline back-links to relevant entities, ensuring new observations from audio input are connected to your existing knowledge base.

Do I need a transcription service to archive audio observations?

Yes, archiving audio observations requires integration with external transcription services. The skill processes the provided transcripts to preserve verbatim text and applies a decision-tree-based filing system to route the data.

What is the best way to file spontaneous ideas from audio input?

The best way to file spontaneous ideas from audio input is verbatim preservation combined with intelligent routing. This approach archives exact transcripts and automatically categorizes them into specific brain directories like concepts or people.