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Pr Workflow

Community
686f6c61
pr-workflow

Crear pull requests completas con descripcion, labels y reviewers

Overview

Publisher686f6c61
Repositoryalfred-dev
Skill namepr-workflow
Stars
115
Forks
7
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 686f6c61 on GitHub. Read the source before you install it.

Installation

Install the Pr Workflow 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/686f6c61/alfred-dev.git /tmp/alfred-dev
mkdir -p .claude/skills
cp -r /tmp/alfred-dev/skills/pr-workflow .claude/skills/pr-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Workflow 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 Pr Workflow 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 Pr Workflow 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.

Crear pull requests completas

Resumen

Este skill guia el proceso de creacion de una pull request bien documentada, desde la verificacion de cambios hasta la asignacion de reviewers. Una PR no es solo un mecanismo de merge: es una pieza de comunicacion que explica a los revisores que se ha cambiado, por que y como verificarlo.

El objetivo es que cualquier miembro del equipo pueda entender la PR sin necesidad de leer cada linea de codigo antes de abrir el diff.

Proceso

  1. Verificar el estado de los cambios. Ejecutar git diff y git status para confirmar que los cambios pendientes corresponden a lo que se quiere incluir en la PR. Si hay cambios sin commitear, confirmar con el usuario si deben incluirse o quedarse fuera.

  2. Verificar la rama. Asegurarse de que se trabaja en una rama feature o fix, no directamente en main. Si no existe rama, crearla con un nombre descriptivo: feature/nombre-funcionalidad o fix/descripcion-bug.

  3. Redactar el titulo. El titulo debe tener menos de 70 caracteres y describir el cambio de forma clara. Formato recomendado: tipo: descripcion breve. Ejemplos:

    • feat: anadir filtro de busqueda por fecha
    • fix: corregir calculo de IVA en facturas
    • refactor: extraer logica de validacion a modulo propio
  4. Redactar la descripcion. Seguir esta estructura estandarizada:

    markdown
    ## Resumen
    - [1-3 puntos explicando que cambia y por que]
    
    ## Motivacion
    [Por que es necesario este cambio. Enlazar al issue si existe.]
    
    ## Plan de pruebas
    - [ ] [Pasos concretos para verificar que el cambio funciona]
    - [ ] [Comprobaciones de regresion]
    
    ## Notas para el revisor
    [Contexto adicional, decisiones de diseno, areas que necesitan atencion especial]
  5. Asignar labels. Etiquetar la PR segun el tipo de cambio (bug, feature, refactor, docs) y la prioridad si aplica. Usar gh pr edit --add-label para asignarlas.

  6. Enlazar issues. Si la PR resuelve un issue, incluir Closes #XX en la descripcion para que GitHub lo cierre automaticamente al hacer merge.

  7. Asignar reviewers. Seleccionar revisores relevantes segun el area del codigo afectada. Usar gh pr create --reviewer usuario1,usuario2 o gh pr edit --add-reviewer si la PR ya existe.

  8. Crear la PR. Ejecutar gh pr create con titulo, descripcion, labels y reviewers. Verificar que la PR aparece correctamente en GitHub y que los checks de CI arrancan.

  9. Revisar el resultado. Comprobar que la descripcion se renderiza bien, que los enlaces a issues funcionan y que los reviewers han sido notificados.

Que NO hacer

  • No incluir lineas Co-Authored-By ni menciones a asistentes o herramientas de IA en la PR.
  • No crear PRs sin descripcion: el titulo no es suficiente para comunicar el contexto.
  • No asignar reviewers de forma indiscriminada; elegir a quienes conocen el area afectada.
  • No mezclar cambios no relacionados en la misma PR.

Frequently asked questions

What does the Pr Workflow AI skill do?

Crear pull requests completas con descripcion, labels y reviewers

Why use Pr Workflow on TypingMind?

Because you install it once and use it with any model. Pr Workflow 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 Pr Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/686f6c61/alfred-dev/tree/main/skills/pr-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pr Workflow?

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 Pr Workflow?

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

Is the Pr Workflow AI skill free?

Yes. It is published on GitHub by 686f6c61 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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