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Notification Routing

CommunityPopular
bradygaster
notification-routing

Route agent notifications to specific channels by type — prevent alert fatigue from single-channel flooding

Overview

Publisherbradygaster
Repositorysquad
Skill namenotification-routing
Stars
3.3K
Forks
506
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 bradygaster on GitHub. Read the source before you install it.

Installation

Install the Notification Routing 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.
    https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/notification-routing
  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/bradygaster/squad.git /tmp/squad
mkdir -p .claude/skills
cp -r /tmp/squad/packages/squad-cli/templates/skills/notification-routing .claude/skills/notification-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Notification Routing 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 Notification Routing 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 Notification Routing 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.

Context

When a Squad grows beyond a few agents, notifications flood a single channel — failure alerts drown in daily briefings, tech news buries security findings, and everything gets ignored. This is the pub-sub problem: a single message queue for everything is a recipe for missed alerts.

The fix is topic-based routing: agents tag notifications with a channel type, and a routing function sends them to the appropriate destination.

Trigger symptoms:

  • Important alerts missed because they're buried in routine notifications
  • Team members turning off notifications entirely (signal overwhelm)
  • Onboarding friction: "where do I look for X?"

Patterns

Channel Config Schema

Define a .squad/teams-channels.json (or equivalent) mapping notification types to channel identifiers:

json
{
  "teamId": "your-team-id",
  "channels": {
    "notifications": "squad-alerts",
    "tech-news":     "tech-news",
    "security":      "security-findings",
    "releases":      "release-announcements",
    "daily-digest":  "daily-digest"
  }
}

Place this in .squad/ (git-tracked, shared across the team). For platforms that use channel IDs instead of names (Teams, Slack), store the resolved ID alongside the name to avoid name-collision bugs:

json
{
  "channels": {
    "notifications": { "name": "squad-alerts", "id": "channel-id-opaque-string" }
  }
}

CHANNEL: Tag Convention

Agents prefix their output with CHANNEL:<type> to signal where the notification should go:

CHANNEL:security
Security Reviewer found 3 new CVEs in dependency scan: lodash@4.17.15, minimist@1.2.5

Routing Dispatcher (shell pseudocode)

bash
dispatch_notification() {
  local raw_output="$1"
  local channel="notifications"  # default

  if echo "$raw_output" | grep -qE '^CHANNEL:[a-z][a-z0-9-]*'; then
    channel=$(echo "$raw_output" | head -1 | cut -d: -f2)
    raw_output=$(echo "$raw_output" | tail -n +2)
  fi

  send_notification --channel "$channel" --message "$raw_output"
}

Provider-Agnostic Adapter

The routing layer is provider-agnostic. Plug in your platform adapter:

.squad/notify-adapter.sh   # Teams / Slack / Discord / webhook -- swappable

The routing config and CHANNEL: tags never change. Only the adapter changes per deployment.

Anti-Patterns

Never send all notification types to one channel:

send_notification --channel "general" --message "$anything"

Never use display names as identifiers (name collision risk):

send_to_team --name "Squad" --channel "notifications"

Resolve channel IDs once at setup. Use IDs at runtime.

Distributed Systems Pattern

This is pub-sub with topic routing -- the same principle as Kafka topics, RabbitMQ routing keys, and AWS SNS topic filtering. Route by type. Each consumer subscribes to the topics it cares about.

Frequently asked questions

What does the Notification Routing AI skill do?

Route agent notifications to specific channels by type — prevent alert fatigue from single-channel flooding

Why use Notification Routing on TypingMind?

Because you install it once and use it with any model. Notification Routing 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 Notification Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/notification-routing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Notification Routing?

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 Notification Routing?

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

Is the Notification Routing AI skill free?

Yes. It is published on GitHub by bradygaster 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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