Linear App Setup logo

Linear App Setup

OrganizationPopular
vellum-ai
linear-app-setup

Create and configure a Linear agent app so the assistant can manage issues, projects, and workflows under its own identity

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namelinear-app-setup
Stars
1.3K
Forks
186
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Linear App Setup 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/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/linear-app-setup .claude/skills/linear-app-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linear App Setup 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 Linear App Setup 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 Linear App Setup 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.

Overview

Set up a Linear agent app so the assistant operates under its own identity in a Linear workspace — creating issues, commenting, updating status, etc. as itself.

Linear agent apps act as their own entity in the workspace. They're free (don't count as billable users), can be @mentioned, and can be delegated issues.

Total manual effort: ~3 interactions — create the app, grab the API key, (optionally) upload an avatar.

Prerequisites

  • User must be a workspace admin in Linear
  • User must be logged into Linear in their browser

Setup Flow

Step 1: Create the Application

Direct the user to create a new application:

Open https://linear.app/settings/api/applications/new to create a new application.

Guide them through the form:

FieldValue
Application nameThe assistant's name. This is how the agent appears in mentions and filters.
Developer nameThe user's name or org name
Developer URLAny valid URL

Click Create when done.

Step 2: Generate an API Key for the App

After creating the app, the user should generate a personal API key scoped to this app identity. This is how the assistant authenticates — simpler and more reliable than the full OAuth token refresh flow.

Direct the user:

On the app's settings page, look for the option to create an API key for this application. Copy the key.

Prompt for the API key via secure UI:

bash
assistant credentials prompt --service linear --field api_key \
  --label "Linear App API Key" \
  --placeholder "lin_api_xxxxxxxxxx" \
  --description "API key for your Linear app (used to authenticate API requests)" \
  --allowed-domains "api.linear.app" \
  --allowed-tools "bash" \
  --injection-templates '[{"hostPattern":"api.linear.app","injectionType":"header","headerName":"Authorization","valuePrefix":"Bearer "}]'

Step 3: Verify

After storing the key, verify the connection:

bash
curl -s -X POST https://api.linear.app/graphql \
  -H "Content-Type: application/json" \
  -d '{"query":"{ viewer { id name email } }"}'

Run with network_mode: "proxied" and the linear credential. A successful response returns the app's identity:

json
{
  "data": {
    "viewer": {
      "id": "...",
      "name": "MyAssistant",
      "email": "...@oauthapp.linear.app"
    }
  }
}

The @oauthapp.linear.app email confirms it's an app actor, not a user.

Step 4: Set the App Avatar (Optional)

Linear doesn't support setting the avatar via API — it must be uploaded through the web UI.

If the assistant has an avatar, send it to the user:

<vellum-attachment source="sandbox" path="data/avatar/avatar-image.png" />

Then direct them to the app settings page:

Go to https://linear.app/settings/api, find your app, and upload the avatar image under the app icon.

App Identity

The app appears as a distinct entity in Linear:

  • Issues it creates show the app as creator
  • Comments it posts show the app's name and avatar
  • It appears in mention menus if app:mentionable scope is enabled
  • Issues can be delegated to it if app:assignable scope is enabled — delegation sets the app as delegate, not assignee, so humans keep ownership

Acting on Behalf of a User

When the agent performs an action that originated from a specific user in a third-party system, use createAsUser and displayIconUrl to attribute it:

graphql
mutation {
  issueCreate(
    input: {
      title: "Bug report"
      teamId: "TEAM_UUID"
      createAsUser: "Jane"
      displayIconUrl: "https://example.com/jane-avatar.png"
    }
  ) {
    success
    issue {
      identifier
      url
    }
  }
}

This renders as "Jane (via AppName)" in Linear.

Team Access

After installation, workspace admins can modify the app's team access at any time through the app's details page in Linear settings.

Important Notes

  • The app's name and icon are how it appears everywhere in Linear — pick something short, recognizable, and unique.
  • Agent apps are free — they don't count toward the workspace's billable user seats.
  • The app gets a unique user ID per workspace.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linear App Setup AI skill do?

Create and configure a Linear agent app so the assistant can manage issues, projects, and workflows under its own identity

Why use Linear App Setup on TypingMind?

Because you install it once and use it with any model. Linear App Setup 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 Linear App Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/linear-app-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linear App Setup?

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 Linear App Setup?

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

Is the Linear App Setup AI skill free?

Yes. It is published on GitHub by vellum-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.

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