# Voice Note Ingest > Ingiere una nota de voz preservando el fraseo exacto (nunca parafraseado) y la enruta a originals/, concepts/, people/, companies/, ideas/, personal/ o voice-notes/ según un árbol de decisión. Fuente: https://skillsagentes.com/skills/garrytan/gbrain/voice-note-ingest Markdown: https://skillsagentes.com/skills/garrytan/gbrain/voice-note-ingest.md Repositorio: https://github.com/garrytan/gbrain Autor: garrytan Licencia: MIT Actualizado: hace 21 días Coste de contexto: 59 tok instalada, 1.7k tok al activarse, 1.9k tok con todos los archivos del bundle Bundle: 2 archivos, 7 KB Permisos que pide: ninguno declarado ## Instalación Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina. ```bash # Claude Code npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent claude-code # Cursor npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent cursor # Codex npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent codex # Gemini CLI npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent gemini # Windsurf npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent windsurf # Cline npx -y skills add garrytan/gbrain --skill voice-note-ingest --agent cline ``` ## Qué hace - Ingesta notas de voz preservando el fraseo exacto sin parafrasear - Sube el audio original al backend de almacenamiento de gbrain - Transcribe el audio si no se proporciona transcripción - Aplica un árbol de decisión para enrutar el contenido a la carpeta correcta - Crea back-links de línea de tiempo en las páginas de personas/empresas mencionadas ## Cuándo usarla - El usuario envía un mensaje de audio o nota de voz por cualquier canal (Telegram, memo de voz, adjunto de openclaw) - Se necesita archivar una idea original, concepto, reflexión personal o pensamiento aleatorio capturado en audio ## Cuándo no - Maneja una sola nota de voz por ciclo de ingesta; no hace procesamiento por lotes ## Qué la activa - "Ingiere esta nota de voz" - "Transcribe y archiva este memo de voz" - "Guarda esta nota de audio" ## Antes de instalar - Requiere un backend de almacenamiento gbrain (S3/Supabase/local) y, si no hay transcripción, una herramienta de transcripción como Groq Whisper u OpenAI Whisper. ## Archivos - SKILL.md — 7 KB - routing-eval.jsonl — 820 B ## SKILL.md Reproducido tal cual desde garrytan/gbrain bajo MIT. Esta sección es el documento original y está en inglés. # voice-note-ingest — Exact-Phrasing Voice Capture > **Convention:** see [conventions/quality.md](../conventions/quality.md) for > citation rules, back-link enforcement, and exact-phrasing requirements. > > **Convention:** see [_brain-filing-rules.md](../_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/.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/.md`. 3. **About a specific person** — new information, opinion, or observation about someone. → Update `people/.md` timeline. 4. **About a specific company** — new info about a company. → Update `companies/.md` timeline. 5. **A product or business idea** — something that could be built. → `ideas/.md`. 6. **A personal reflection** — therapy-adjacent, emotional, identity. → Append to appropriate `personal/.md`. 7. **None of the above / random thought / doesn't fit cleanly** — → `voice-notes/YYYY-MM-DD-.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 " --- # 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 — [Brief description] ``` ## Citation format ``` [Source: voice note, , YYYY-MM-DD] ``` Include timestamps when available: ``` [Source: voice note, , YYYY-MM-DD HH:MM PT] ``` ## Naming convention - Audio files: `YYYY-MM-DD-.` (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`). ## Dónde encaja - Categoría: [Productividad](https://skillsagentes.com/categorias/productividad.md) — Planificación, toma de notas y automatización de flujos personales. - Creador: [garrytan](https://skillsagentes.com/creators/garrytan.md) — 134 skills en el directorio - [Todas las skills](https://skillsagentes.com/skills.md) - [Ranking de instalaciones](https://skillsagentes.com/ranking.md) ## Otras skills del mismo repositorio - [Setup](https://skillsagentes.com/skills/garrytan/gbrain/setup.md): Configura GBrain con auto-aprovisionamiento de Supabase o PGLite, inyección en AGENTS.md y primera importación. - [Maintain](https://skillsagentes.com/skills/garrytan/gbrain/maintain.md): Chequeos de salud del brain: aplicación de back-links, auditoría de citas, validación de filing, detección de info obsoleta, páginas huérfanas y benchmarks. - [Schema Unify](https://skillsagentes.com/skills/garrytan/gbrain/schema-unify.md): Migra un brain de gbrain-base a la taxonomía de 14 tipos canónicos de gbrain-base-v2 usando gbrain onboard --check y el handler Minion unify-types. - [Retrieval Reflex](https://skillsagentes.com/skills/garrytan/gbrain/retrieval-reflex.md): Cuándo y qué recuperar: abre la página del brain de una entidad relevante antes de responder desde memoria. - [Minion Orchestrator](https://skillsagentes.com/skills/garrytan/gbrain/minion-orchestrator.md): Skill unificado de Minions para jobs deterministas de shell y orquestación de subagentes LLM: cola durable, observable y controlable, más la doctrina de ejecución durable para operaciones largas. --- Skills Agentes · [Índice de páginas en markdown](https://skillsagentes.com/sitemap.md) · [Inicio](https://skillsagentes.com/index.md)