You are helping me build the following AI agent workflow.

## Goal
GitHub Release Monitor Translation: Monitors GitHub repos for new releases, uses AI to summarize and translate them into Chinese.

## Specification
- What it does: Get instant Chinese summaries of new GitHub releases directly in your Slack channel. This workflow automatically detects updates, uses AI to translate them, and prevents you from seeing duplicate notifications.
- Trigger: On a schedule (Scheduled · every 10 minutes)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - GitHub: Monitoring repository releases via RSS
  - Google Gemini Chat Model: Summarizing and translating release notes
  - Redis: Storing processed release IDs to prevent duplicates
  - Slack: Sending formatted notifications and error alerts

## Known pitfalls, handle each one explicitly in your implementation
1. RSS feeds may not update instantly so implement a small delay or check the last modified header to avoid missing recent releases.
2. Long release notes might exceed token limits, so truncate or summarize aggressively before sending to Gemini.

## Reference implementation
https://n8n.io/workflows/3452 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/github-release-monitor-with-ai-translation/ via usecasesforagents.com