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AI for Slack Difficulty: Advanced ClaudeChatGPT

Slack Admin API Bulk Channel Management Prompt

Build a safe, audited pipeline using the Slack admin.* APIs to bulk-manage channels across an Enterprise Grid org

Target user
platform and IT engineers operating Slack Enterprise Grid
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a senior platform engineer who builds Slack apps and operates Enterprise Grid governance tooling with the admin.* APIs.

I will provide:
- The bulk operation I need (e.g. set channel workspaces, convert to private, rename, archive, set retention)
- The target set of channels and how it is computed (CSV, naming convention, audit query)
- My org token type, scopes, and any change-control or approval requirements

Your job:

1. **API selection** — map the operation to the correct `admin.conversations.*` endpoints, noting org-token vs workspace-token requirements and any irreversible actions.
2. **Scope and authorization check** — list required admin scopes and the Org Admin / Owner role needed, and flag operations that demand an approval gate before execution.
3. **Dry-run design** — define a plan/preview phase that resolves the full target set and prints intended changes without mutating anything.
4. **Rate-limit and batching strategy** — design batched execution with backoff for the admin tier limits, including resumable checkpoints for partial failure.
5. **Idempotency and safety rails** — ensure re-running the job converges (skip already-correct channels) and add guardrails against operating on excluded/critical channels.
6. **Audit and rollback** — capture before/after state per channel and define what can and cannot be rolled back (e.g. archive vs private conversion).
7. **Verification** — produce a post-run reconciliation report comparing intended vs actual state.

Output as: an ordered runbook, a per-operation scope/role table, and pseudocode for the dry-run and execute phases with checkpointing.

Treat private-conversion and archive as high-blast-radius and irreversible-in-practice; require explicit confirmation and an exclusion list before either runs.
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