You are helping me build the following AI agent workflow.

## Goal
HR Candidate Shortlisting: When candidates score above 70 in your resume sheet, it emails them a Calendly link and creates a screening task in ClickUp.

## Specification
- What it does: You instantly receive a notification when high-scoring candidates meet your criteria, allowing you to send them personalized Calendly links and create screening tasks in ClickUp without manual filtering. This automation ensures consistent communication with qualified applicants while reducing the time you spend on repetitive shortlisting work.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Google Sheets: Fetch candidate records and scores
  - Gmail: Send personalized advancement emails
  - ClickUp: Create screening tasks for HR team
  - LLM: Filter high-score candidates based on threshold

## Known pitfalls, handle each one explicitly in your implementation
1. Email sending can fail if a candidate email is malformed, add a validation step before calling the Gmail API.

## Reference implementation
https://n8n.io/workflows/8528 (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/automate-hr-candidate-shortlisting/ via usecasesforagents.com