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Incident Response

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686f6c61
incident-response

Protocolo de respuesta ante incidentes en produccion: triaje, mitigacion, causa raiz y postmortem. Usar ante caidas, errores criticos, incidentes de seguridad o degradacion de servicio.

Overview

Publisher686f6c61
Repositoryalfred-dev
Skill nameincident-response
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 Incident Response 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/incident-response .claude/skills/incident-response
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Incident Response 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 Incident Response 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 Incident Response 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.

Respuesta ante incidentes

El usuario ha reportado o detectado un incidente en produccion. Sigue este protocolo paso a paso para gestionar la respuesta de forma estructurada, desde el triaje inicial hasta el postmortem final.

Resumen

Los incidentes en produccion requieren una respuesta rapida pero ordenada. La tentacion es saltar directamente al codigo, pero sin un triaje previo se pierde tiempo en diagnosticos erroneos. Este protocolo exige documentar cada paso y registrar las lecciones aprendidas para reducir recurrencias.

Proceso

Fase 1: Triaje (qa-engineer)

Usa la herramienta Agent para lanzar al agente qa-engineer con la siguiente mision:

  1. Clasificar la severidad del incidente (P0 critico, P1 alto, P2 medio, P3 bajo).
  2. Identificar el impacto: usuarios afectados, funcionalidad comprometida, datos en riesgo.
  3. Recopilar evidencia: logs, trazas, capturas, mensajes de error.
  4. Definir si hay workaround inmediato.

Artefacto: informe de triaje con severidad, impacto y evidencia.

Fase 2: Mitigacion (senior-dev)

Si el triaje indica P0 o P1, ejecutar mitigacion inmediata:

  1. Aplicar workaround si existe (rollback, feature flag, redirect de trafico).
  2. Si no hay workaround, desarrollar hotfix minimo con test de regresion.
  3. Desplegar la mitigacion y verificar que el impacto se reduce.

Artefacto: commit de mitigacion con test de regresion.

Fase 3: Analisis de causa raiz (senior-dev + security-officer)

Una vez mitigado el impacto, investigar la causa raiz:

  1. Trazar la cadena de eventos desde el trigger hasta el fallo.
  2. Identificar la causa raiz (no el sintoma).
  3. Si el incidente tiene componente de seguridad, el security-officer audita la cadena.
  4. Registrar la causa raiz como decision en la memoria del proyecto.

Artefacto: documento de RCA (Root Cause Analysis).

Fase 4: Postmortem

Generar un informe postmortem completo:

  1. Cronologia del incidente (cuando se detecto, cuando se mitigo, cuando se resolvio).
  2. Causa raiz confirmada.
  3. Acciones correctivas con responsable y fecha limite.
  4. Acciones preventivas para evitar recurrencia.
  5. Lecciones aprendidas.

Artefacto: documento postmortem en formato Markdown.

Formato del postmortem

markdown
# Postmortem: [titulo del incidente]

**Fecha:** YYYY-MM-DD
**Severidad:** P0/P1/P2/P3
**Duracion:** X horas/minutos
**Impacto:** [descripcion del impacto]

## Cronologia
- HH:MM - [evento]
- HH:MM - [evento]

## Causa raiz
[Explicacion detallada]

## Acciones correctivas
- [ ] [accion] - Responsable: [nombre] - Fecha: YYYY-MM-DD

## Acciones preventivas
- [ ] [accion] - Responsable: [nombre] - Fecha: YYYY-MM-DD

## Lecciones aprendidas
1. [leccion]

Criterios de exito

  • El incidente tiene una severidad asignada con criterios objetivos.
  • La mitigacion se aplica antes de investigar la causa raiz (primero apagar el fuego).
  • Existe un documento de RCA que identifica la causa raiz real, no solo el sintoma.
  • El postmortem esta completo con cronologia, acciones correctivas y preventivas.
  • Las lecciones aprendidas quedan registradas en la memoria del proyecto.
  • Las acciones correctivas tienen responsable y fecha limite asignados.

Que NO hacer

  • No saltar el triaje para ir directamente al codigo. Sin un triaje previo se pierde tiempo en hipotesis equivocadas y se corre el riesgo de aplicar cambios que empeoren la situacion. El triaje estructura la respuesta y prioriza correctamente.
  • No cerrar el incidente sin postmortem. Un incidente sin postmortem es una oportunidad perdida de aprendizaje. Aunque el fix sea trivial, documentar que fallo y por que evita recurrencias y genera conocimiento institucional.
  • No culpar personas en el postmortem. El postmortem se enfoca en procesos y sistemas, no en individuos. La pregunta correcta es "que fallo en el sistema que permitio este error" y no "quien cometio el error". Un postmortem punitivo destruye la confianza y desincentiva la transparencia.

Frequently asked questions

What does the Incident Response AI skill do?

Protocolo de respuesta ante incidentes en produccion: triaje, mitigacion, causa raiz y postmortem. Usar ante caidas, errores criticos, incidentes de seguridad o degradacion de servicio.

Why use Incident Response on TypingMind?

Because you install it once and use it with any model. Incident Response 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 Incident Response in TypingMind?

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

Which AI models can use Incident Response?

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 Incident Response?

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

Is the Incident Response 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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