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Voice Note Ingest

CommunityPopular
garrytan
voice-note-ingest

Ingest a voice note with exact-phrasing preservation (never paraphrased). Routes content to originals/, concepts/, people/, companies/, ideas/, personal/, or voice-notes/ based on a decision tree. The user's exact words are the signal.

Overview

Publishergarrytan
Repositorygbrain
Skill namevoice-note-ingest
Stars
30.1K
Forks
4.5K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by garrytan on GitHub. Read the source before you install it.

Installation

Install the Voice Note Ingest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/garrytan/gbrain.git /tmp/gbrain
mkdir -p .claude/skills
cp -r /tmp/gbrain/plugin-variants/gbrain-daily/skills/voice-note-ingest .claude/skills/voice-note-ingest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Voice Note Ingest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Voice Note Ingest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Voice Note Ingest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

voice-note-ingest — Exact-Phrasing Voice Capture

Convention: see conventions/quality.md for citation rules, back-link enforcement, and exact-phrasing requirements.

Convention: see _brain-filing-rules.md for the filing decision protocol.

Iron Law

The user's exact words are the insight. Never paraphrase. Never clean up. The vivid, unpolished, stream-of-consciousness phrasing captures something that cleaned-up prose does not. Preserve it in block quotes. The Analysis section can interpret; the transcript section is sacred.

  • "The ambition-to-lifespan ratio has never been more fucked"
  • User noted the tension between ambition and mortality

When to invoke

The user sends an audio or voice message via any channel (Telegram, voice memo upload, openclaw audio attachment). The host agent typically provides the transcript text. If not, transcribe it with your host's transcription tool (Groq Whisper is fast and cheap; OpenAI Whisper works too — segment audio > 25MB via ffmpeg first).

The pipeline

1. STORE       → Upload original audio to gbrain storage backend
                 (S3 / Supabase Storage / local — pluggable per
                 src/core/storage.ts).
2. TRANSCRIBE  → Use the agent-provided transcript verbatim, OR
                 transcribe the audio yourself (see "When to invoke")
                 if no transcript was supplied.
3. ROUTE       → Apply the decision tree (below) to find the right
                 destination directory.
4. WRITE       → Create / update the destination brain page; preserve the
                 verbatim transcript in a block-quoted "User's Words"
                 section.
5. CROSS-LINK  → For every entity mentioned (person, company), add a
                 timeline back-link from THEIR brain page to THIS one
                 (Iron Law per conventions/quality.md).

Decision tree (where the content goes)

Apply in order. First match wins. If multiple categories apply, file to the primary directory and cross-link to the others.

  1. Original idea, observation, or thesis — the user is expressing a novel thought, framework, or connection THEY generated. → originals/<slug>.md. Use the user's vivid language for the slug.

  2. About a world concept they encountered — a framework or model someone else created that the user is referencing. → concepts/<slug>.md.

  3. About a specific person — new information, opinion, or observation about someone. → Update people/<person>.md timeline.

  4. About a specific company — new info about a company. → Update companies/<company>.md timeline.

  5. A product or business idea — something that could be built. → ideas/<slug>.md.

  6. A personal reflection — therapy-adjacent, emotional, identity. → Append to appropriate personal/<slug>.md.

  7. None of the above / random thought / doesn't fit cleanly — → voice-notes/YYYY-MM-DD-<slug>.md (catch-all).

Multiple categories? Create the primary page, then cross-link to all others. If the voice note covers a person AND a novel idea, create the originals/ page AND update the person's timeline.

Brain page format

For ALL voice-note-derived pages, include this skeleton:

markdown
---
title: "[Title derived from content]"
type: [original | concept | voice-note | ...]
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags: [voice-note, relevant-tags]
sources:
  voice-note:
    type: voice_note
    storage_path: "[gbrain storage URL or relative path]"
    acquired: YYYY-MM-DD
    acquired_via: "voice note from <channel>"
---

# Title

> Executive summary of what was said and why it matters.

## User's Words

> "Exact transcript, verbatim, preserving every word, hesitation, and verbal
> tic. This is the primary source material. Do not edit."

🔊 [Audio]([gbrain storage URL or relative path])

## Analysis

[What this means, why it matters, connections to other thinking. The
analysis is the agent's interpretation; the transcript above is sacred.]

## See Also

- [Related brain pages with relative links]

---

## Timeline

- **YYYY-MM-DD** | voice note from <channel> — [Brief description]

Citation format

[Source: voice note, <channel>, YYYY-MM-DD]

Include timestamps when available:

[Source: voice note, <channel>, YYYY-MM-DD HH:MM PT]

Naming convention

  • Audio files: YYYY-MM-DD-<brief-slug>.<ext> (e.g., 2026-04-13-rick-rubin-creative-philosophy.ogg)
  • Brain pages: match the slug of the destination directory.

Bulk vs. single

This skill handles ONE voice note at a time. Each is its own ingest cycle. No batching.

Anti-Patterns

  • Paraphrasing the transcript. The exact words are the signal.
  • Cleaning up hesitations or filler words ("um", "like", "you know"). The texture matters.
  • Creating a page with no entity cross-links when people/companies were mentioned. Iron Law fail.
  • Skipping the audio storage step. Always upload the original; the brain page has a 🔊 [Audio] link back to it.

Related skills

  • skills/signal-detector/SKILL.md — same exact-phrasing pattern for text-channel idea capture
  • skills/idea-ingest/SKILL.md — for typed-text idea ingestion
  • skills/conventions/quality.md — citation + back-link rules

Contract

This skill guarantees:

  • Routing matches the canonical triggers in the frontmatter.
  • Output written under the directories listed in writes_to: (when applicable).
  • Conventions referenced (quality.md, brain-first.md, _brain-filing-rules.md) are followed.
  • Privacy contract preserved: no real names, no fork-specific filesystem path literals, no upstream-fork references.

The full behavior contract is documented in the body sections above; this section exists for the conformance test.

Output Format

The skill's output shape is documented inline in the body sections above (see "Output", "Brain page format", or equivalent). The literal section header here exists for the conformance test (test/skills-conformance.test.ts).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Voice Note Ingest AI skill do?

Ingest a voice note with exact-phrasing preservation (never paraphrased). Routes content to originals/, concepts/, people/, companies/, ideas/, personal/, or voice-notes/ based on a decision tree. The user's exact words are the signal.

Why use Voice Note Ingest on TypingMind?

Because you install it once and use it with any model. Voice Note Ingest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Voice Note Ingest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrytan/gbrain/tree/master/plugin-variants/gbrain-daily/skills/voice-note-ingest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Voice Note Ingest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Voice Note Ingest?

As many as you like. As long as a model supports skills, you can use Voice Note Ingest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Voice Note Ingest AI skill free?

Yes. It is published on GitHub by garrytan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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