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pedrovelasquez9pedrovelasquez9/fragua/skills/setup/SKILL.md

setup

Skill12 starsChanged 3 months agoMITView on GitHub

Prepara las dependencias de Fragua — ffmpeg, Python, whisper.cpp, el modelo de transcripción y las fuentes — y verifica que el pipeline funciona.

191 other projects use a version of this.

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Used with

Projects with it also use add-voice-transcription, add-discord and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • juancruzmunozalbeloSkill

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    Also in 5 projects that use this

  • MicrosoftSkill

    add-discord

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    Also in 11 projects that use this

  • MicrosoftSkill

    add-slack

    Add Slack channel integration via Chat SDK.

    Also in 11 projects that use this

  • juancruzmunozalbeloSkill

    add-telegram-swarm

    Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".

    Also in 7 projects that use this

  • +8 more from microsoft

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    En Linux o macOS falla la compilación de whisper.cpp: No publica binario para esas plataformas, así que hacen falta git, cmake y un …

    line 53

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Preparar Fragua

El usuario ha escrito /fragua:setup. Deja la skill lista para editar vídeo.

<skill> es la raíz de Fragua: dos niveles por encima de este archivo (../../ desde skills/<nombre>/SKILL.md). Es la carpeta que contiene presets.json, test_pipeline.py y scripts/. Resuélvela antes de nada; si la instalación es plana, en vez de en skills/, es la carpeta que contiene este mismo archivo.

Qué hacer

Lanza el setup de la plataforma correspondiente desde la carpeta de la skill:

powershell -ExecutionPolicy Bypass -File <skill>/scripts/setup.ps1
bash <skill>/scripts/setup.sh

Si el usuario pasó un modelo en $ARGUMENTS (por ejemplo ggml-medium), añádelo: -Model ggml-medium en Windows, o como primer argumento en el resto.

Descarga alrededor de 1,6 GB, así que puede tardar varios minutos. Avisa antes de empezar y no lo interrumpas.

Después verifica:

python <skill>/test_pipeline.py

Tiene que terminar en todo verde.

Si algo falla

ffmpeg o Python no aparecen tras instalarse. Es el PATH de la sesión. El script ya lo refresca, pero si persiste, dile al usuario que abra un terminal nuevo y repita.

En Windows dice que Python no arranca. Windows trae alias de ejecución de 0 bytes en WindowsApps para python, python3 y py que existen aunque no haya Python y abren el Microsoft Store. Comprueba cuál funciona de verdad ejecutando --version con cada uno, no dando por buena su existencia.

En Linux o macOS falla la compilación de whisper.cpp. No publica binario para esas plataformas, así que hacen falta git, cmake y un compilador. Dile cuál falta.

El setup es idempotente: si algo quedó a medias, se puede relanzar tantas veces como haga falta y no redescarga lo que ya está.

Al terminar

Dile al usuario que ya puede pedirte una edición pasándote la ruta de un vídeo, y que si tiene música, efectos o stickers propios los configure con /fragua:assets <carpeta>.

Download now (ZIP)

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Your trail

Files you open will collect here, so you can find them again.

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