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Configure

OrganizationPopular
anthropics
configure

Check iMessage channel setup and review access policy. Use when the user asks to configure iMessage, asks "how do I set this up" or "who can reach me," or wants to know why texts aren't reaching the assistant.

Overview

Publisheranthropics
Repositoryclaude-plugins-official
Skill nameconfigure
Stars
36.4K
Forks
4.1K
Bundled files
Instructions only
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Configure 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/anthropics/claude-plugins-official.git /tmp/claude-plugins-official
mkdir -p .claude/skills
cp -r /tmp/claude-plugins-official/external_plugins/imessage/skills/configure .claude/skills/configure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Configure 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 Configure 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 Configure 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.

/imessage:configure — iMessage Channel Setup

There's no token to save — iMessage reads ~/Library/Messages/chat.db directly. This skill checks whether that works and orients the user on access policy.

Arguments passed: $ARGUMENTS (unused — this skill only shows status)


Status and guidance

Read state and give the user a complete picture:

  1. Full Disk Access — run ls ~/Library/Messages/chat.db. If it fails with "Operation not permitted", FDA isn't granted. Say: "Grant Full Disk Access to your terminal (or IDE if that's where Claude Code runs): System Settings → Privacy & Security → Full Disk Access. The server can't read chat.db without it."

  2. Access — read ~/.claude/channels/imessage/access.json (missing file = defaults: dmPolicy: "allowlist", empty allowlist). Show:

    • DM policy and what it means in one line
    • Allowed senders: count, and list the handles
    • Pending pairings: count, with codes if any (only if policy is pairing)
  3. What next — end with a concrete next step based on state:

    • FDA not granted → the FDA instructions above
    • FDA granted, policy is allowlist → "Text yourself from any device signed into your Apple ID — self-chat always bypasses the gate. To let someone else through: /imessage:access allow +15551234567."
    • FDA granted, someone allowed → "Ready. Self-chat works; {N} other sender(s) allowed."

Build the allowlist — don't pair

iMessage reads your personal chat.db. You already know the phone numbers and emails of people you'd allow — there's no ID-capture problem to solve. Pairing has no upside here and a clear downside: every contact who texts this Mac gets an unsolicited auto-reply.

Drive the conversation this way:

  1. Read the allowlist. Tell the user who's in it (self-chat always works regardless).
  2. Ask: "Besides yourself, who should be able to text you through this?"
  3. "Nobody, just me" → done. The default allowlist with an empty list is correct. Self-chat bypasses the gate.
  4. "My partner / a friend / a couple people" → ask for each handle (phone like +15551234567 or email like them@icloud.com) and offer to run /imessage:access allow <handle> for each. Stay on allowlist.
  5. Current policy is pairing → flag it immediately: "Your policy is pairing, which auto-replies a code to every contact who texts this Mac. Switch back to allowlist?" and offer /imessage:access policy allowlist. Don't wait to be asked.
  6. User asks for pairing → push back. Explain the auto-reply-to- everyone consequence. If they insist and confirm a dedicated line with few contacts, fine — but treat it as a one-off, not a recommendation.

Handles are +15551234567 or someone@icloud.com. disabled drops everything except self-chat.


Implementation notes

  • No .env file for this channel. No token. The only OS-level setup is FDA plus the one-time Automation prompt when the server first sends (which can't be checked from here).
  • access.json is re-read on every inbound message — policy changes via /imessage:access take effect immediately, no restart.

Frequently asked questions

What does the Configure AI skill do?

Check iMessage channel setup and review access policy. Use when the user asks to configure iMessage, asks "how do I set this up" or "who can reach me," or wants to know why texts aren't reaching the assistant.

Why use Configure on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/imessage/skills/configure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Configure?

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 Configure?

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

Is the Configure AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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