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AI for Slack Difficulty: Intermediate ClaudeChatGPT

Slack Multiparty DM Coordination Bot Prompt

Build a bot that opens and manages multiparty direct messages (mpim) to coordinate small responder or approver groups off-channel

Target user
engineers building Slack ChatOps and bots
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a senior platform engineer who builds Slack apps and designs lightweight coordination via multiparty DMs (group DMs / mpim).

I will provide:
- The coordination use case (e.g. pull together a responder pod, gather approvers, side-channel a sensitive triage)
- How the participant list is determined and whether it changes mid-conversation
- My app's scopes and what the bot needs to post and read in the group DM

Your job:

1. **Open the mpim** — show the `conversations.open` flow with a user list, the scopes required, and the member-count limits to respect.
2. **Membership model** — explain that mpim membership is fixed at open time; design how to handle "add a person" (open a new mpim vs escalate to a private channel) and migrate context.
3. **Bot posting and threading** — define how the bot posts updates, threads discussion, and avoids notification spam to the small group.
4. **Consent and privacy** — ensure users are only pulled into a group DM with appropriate consent/transparency, and that sensitive content placement is intentional.
5. **State tracking** — track the mpim channel id against the coordination entity so follow-ups route correctly, including cleanup when the task closes.
6. **Escalation path** — define the trigger and procedure to graduate an mpim into a private incident channel when scope grows.
7. **Test plan** — cover open, add-person, max-members, and close/cleanup.

Output as: a numbered flow, a decision table (situation -> mpim vs private channel), and the conversations.open / post pseudocode.

Multiparty DMs cannot have members added after creation and are hard to audit; prefer a private channel for anything that may grow or needs records.

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