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Incident Response

Community
korallis
incident-response

Respond to production incidents systematically with triage, investigation, resolution, and post-mortem analysis to minimize downtime and prevent recurrence. Use when handling production outages, triaging incidents, investigating critical bugs, coordinating incident response, implementing hotfixes, conducting post-mortems, or establishing incident response procedures.

Overview

Publisherkorallis
RepositoryDroidz
Skill nameincident-response
Stars
89
Forks
9
Bundled files
Instructions only
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 korallis 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/korallis/Droidz.git /tmp/Droidz
mkdir -p .claude/skills
cp -r /tmp/Droidz/droidz_installer/payloads/claude/default/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.

Incident Response - Production Issue Management

When to use this skill

  • Responding to production outages
  • Triaging critical incidents
  • Investigating high-severity bugs
  • Coordinating incident response teams
  • Implementing emergency hotfixes
  • Conducting post-mortem analyses
  • Establishing incident response procedures
  • Communicating status during incidents
  • Creating runbooks for common issues
  • Implementing rollback strategies
  • Documenting incident timelines
  • Preventing incident recurrence

When to use this skill

  • Responding to outages, managing incidents, conducting postmortems.
  • When working on related tasks or features
  • During development that requires this expertise

Use when: Responding to outages, managing incidents, conducting postmortems.

Incident Response Process

1. Detect

  • Monitoring alerts
  • User reports
  • Automated checks

2. Triage

  • Assess severity (P0-P4)
  • Page on-call engineer
  • Create incident channel

3. Mitigate

  • Rollback to last known good
  • Scale resources
  • Apply hotfix
  • Communicate status

4. Resolve

  • Verify fix
  • Monitor metrics
  • Update status page
  • Close incident

5. Postmortem

  • Timeline of events
  • Root cause analysis
  • Action items
  • Follow-up tasks

Severity Levels

  • P0 (Critical): Complete outage, data loss
  • P1 (High): Major feature broken, revenue impact
  • P2 (Medium): Degraded performance, workaround exists
  • P3 (Low): Minor bug, cosmetic issue
  • P4 (Informational): Enhancement request

Example Runbook

```markdown

High CPU Usage Runbook

Symptoms

  • Server CPU > 90%
  • Slow response times
  • Request timeouts

Investigation

  1. Check top processes: `top`
  2. Check memory: `free -h`
  3. Check logs: `tail -f app.log`

Mitigation

  1. Scale horizontally: Add servers
  2. Restart service: `systemctl restart app`
  3. Rate limit: Enable aggressive rate limiting

Resolution

  1. Identify root cause (N+1 query, memory leak, etc.)
  2. Deploy fix
  3. Monitor for 1 hour ```

Communication Template

``` [INCIDENT] Service X degraded

Status: Investigating Impact: 20% of users seeing slow load times ETA: 30 minutes

Updates:

  • 10:00 AM: Issue detected
  • 10:05 AM: On-call paged, investigation started
  • 10:15 AM: Root cause identified (database bottleneck)
  • 10:30 AM: Fix deployed, monitoring

Next update: 11:00 AM ```

Resources

Frequently asked questions

What does the Incident Response AI skill do?

Respond to production incidents systematically with triage, investigation, resolution, and post-mortem analysis to minimize downtime and prevent recurrence. Use when handling production outages, triaging incidents, investigating critical bugs, coordinating incident response, implementing hotfixes, conducting post-mortems, or establishing incident response procedures.

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/korallis/Droidz/tree/main/droidz_installer/payloads/claude/default/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?

It is published on GitHub by korallis. Check the repository for licensing terms. 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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