Team Routing logo

Team Routing

Organization
WellApp-ai
team-routing

Detect domain from context and find appropriate team member

Overview

PublisherWellApp-ai
RepositoryWell
Skill nameteam-routing
Stars
342
Forks
48
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 WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Team 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.
  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/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/team-routing .claude/skills/team-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Team 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 Team 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 Team 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.

Team Routing Skill

Automatically detect domain from branch names or file paths and find the appropriate reviewer.

When to Use

  • Push PR mode: auto-assign reviewer
  • Init mode: show domain context
  • Any mode needing domain owner lookup

Phases

Phase 1: Extract Keywords

Extract domain keywords from context:

From branch name:

feature/tables-filter     → keywords: ["tables"]
fix/auth-token-expired    → keywords: ["auth"]
chore/settings-refactor   → keywords: ["settings"]

From changed files:

bash
git diff --name-only origin/develop | head -20

Match file paths against known patterns:

  • apps/web/features/tables/ → "tables"
  • apps/api/routes/auth/ → "auth"
  • apps/web/features/settings/ → "settings"

Phase 2: Query Notion Domains Database

API-query-database: [Domains-DB-ID]
Filter: Keywords contains [extracted-keyword]
        OR Codebase_Paths contains [file-pattern]

Expected result:

  • Domain name
  • Topology type (stream-aligned, platform, enabling, complicated-subsystem)
  • Primary keywords

Phase 3: Query Team Capabilities

API-query-database: Team Capabilities
Filter: Primary_Domain matches [domain-name]
        AND Availability = "Available"
Sort: Open_PR_Count ASC

Expected result:

  • Person name
  • GitHub handle
  • Max Open PRs
  • Current Open PR count

Phase 4: Check Availability

For each candidate:

  1. Query current open PRs:
    bash
    gh pr list --state open --author [github_handle] --json number | jq length
  2. Compare against Max_Open_PRs threshold
  3. Skip if at or over capacity

Phase 5: Fallback Logic

If no available primary owner:

  1. Backup Owners: Query Skills table for overlapping skills
  2. Skills Match: Match changed file extensions to skill file patterns
  3. No Match: Return warning: "No available reviewer found for domain [X]"

Output

Present findings as:

## Domain Detection

**Branch:** [branch-name]
**Detected Domain:** [domain-name]
**Topology:** [stream-aligned | platform | enabling | complicated-subsystem]

### Reviewer Assignment

**Primary Owner:** @[github_handle] ([person_name])
**Availability:** [Available | At capacity (X/Y PRs)]
**Assignment:** [Assigned | Fallback to @backup | No available reviewer]

Integration

This skill is invoked by:

  • push-pr.mdc - Phase 1.2 (Find Reviewer)
  • init.mdc - Domain context display

Notion Databases Required:

  • Domains (keywords, codebase paths)
  • Team Capabilities (person, domain, availability, max PRs)
  • Skills (file patterns for fallback matching)

Frequently asked questions

What does the Team Routing AI skill do?

Detect domain from context and find appropriate team member

Why use Team Routing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/team-routing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Team 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 Team Routing?

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

Is the Team Routing AI skill free?

Yes. It is published on GitHub by WellApp-ai 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇