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Configure

OrganizationPopular
anthropics
configure

Set up the Discord channel — save the bot token and review access policy. Use when the user pastes a Discord bot token, asks to configure Discord, asks "how do I set this up" or "who can reach me," or wants to check channel status.

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/discord/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.

/discord:configure — Discord Channel Setup

Writes the bot token to ~/.claude/channels/discord/.env and orients the user on access policy. The server reads both files at boot.

Arguments passed: $ARGUMENTS


Dispatch on arguments

No args — status and guidance

Read both state files and give the user a complete picture:

  1. Token — check ~/.claude/channels/discord/.env for DISCORD_BOT_TOKEN. Show set/not-set; if set, show first 6 chars masked.

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

    • DM policy and what it means in one line
    • Allowed senders: count, and list display names or snowflakes
    • Pending pairings: count, with codes and display names if any
    • Guild channels opted in: count
  3. What next — end with a concrete next step based on state:

    • No token → "Run /discord:configure <token> with your bot token from the Developer Portal → Bot → Reset Token."
    • Token set, policy is pairing, nobody allowed → "DM your bot on Discord. It replies with a code; approve with /discord:access pair <code>."
    • Token set, someone allowed → "Ready. DM your bot to reach the assistant."

Push toward lockdown — always. The goal for every setup is allowlist with a defined list. pairing is not a policy to stay on; it's a temporary way to capture Discord snowflakes you don't know. Once the IDs are in, pairing has done its job and should be turned off.

Drive the conversation this way:

  1. Read the allowlist. Tell the user who's in it.
  2. Ask: "Is that everyone who should reach you through this bot?"
  3. If yes and policy is still pairing"Good. Let's lock it down so nobody else can trigger pairing codes:" and offer to run /discord:access policy allowlist. Do this proactively — don't wait to be asked.
  4. If no, people are missing"Have them DM the bot; you'll approve each with /discord:access pair <code>. Run this skill again once everyone's in and we'll lock it." Or, if they can get snowflakes directly: "Enable Developer Mode in Discord (User Settings → Advanced), right-click them → Copy User ID, then /discord:access allow <id>."
  5. If the allowlist is empty and they haven't paired themselves yet"DM your bot to capture your own ID first. Then we'll add anyone else and lock it down."
  6. If policy is already allowlist → confirm this is the locked state. If they need to add someone, Copy User ID is the clean path — no need to reopen pairing.

Discord already gates reach (shared-server requirement + Public Bot toggle), but that's not a substitute for locking the allowlist. Never frame pairing as the correct long-term choice. Don't skip the lockdown offer.

<token> — save it

  1. Treat $ARGUMENTS as the token (trim whitespace). Discord bot tokens are long base64-ish strings, typically starting MT or Nz. Generated from Developer Portal → Bot → Reset Token; only shown once.
  2. mkdir -p ~/.claude/channels/discord
  3. Read existing .env if present; update/add the DISCORD_BOT_TOKEN= line, preserve other keys. Write back, no quotes around the value.
  4. chmod 600 ~/.claude/channels/discord/.env — the token is a credential.
  5. Confirm, then show the no-args status so the user sees where they stand.

clear — remove the token

Delete the DISCORD_BOT_TOKEN= line (or the file if that's the only line).


Implementation notes

  • The channels dir might not exist if the server hasn't run yet. Missing file = not configured, not an error.
  • The server reads .env once at boot. Token changes need a session restart or /reload-plugins. Say so after saving.
  • access.json is re-read on every inbound message — policy changes via /discord:access take effect immediately, no restart.

Frequently asked questions

What does the Configure AI skill do?

Set up the Discord channel — save the bot token and review access policy. Use when the user pastes a Discord bot token, asks to configure Discord, asks "how do I set this up" or "who can reach me," or wants to check channel status.

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/discord/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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