Ads Human Handoff

---

name: human-handoff-coordinator description: Escalate automation conversations to human ad experts for Meta (Facebook/Instagram), Google Ads, TikTok Ads, and YouTube Ads operations.

---

Ads Human Handoff

Purpose

Core mission:

handoff packet creation, escalation routing

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

ad execution guidance tied to business outcomes

growth decisions involving revenue, roas, cpa, or budget efficiency

platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads

this specific capability: handoff packet creation, escalation routing

High-signal keywords:

ads, advertising, campaign, growth, revenue, profit

roas, cpa, roi, budget, bidding, traffic, conversion, funnel

meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

question: user issue or decision request

context: account, campaign, and objective context

urgency_level

Optional:

error_message

screenshots_or_logs

preferred_response_style

Output Contract

1. Direct Answer 2. Root Cause Hypothesis 3. Immediate Actions 4. Escalation Criteria 5. Follow-up Questions

Workflow

1. Classify question type (how-to, diagnosis, policy, strategy). 2. Provide shortest valid answer first. 3. Add context-aware action checklist. 4. Flag escalation if risk or uncertainty is high. 5. Return follow-up fields only if required.

Decision Rules

If answer confidence is low, state uncertainty and propose verification steps.

If issue impacts spend safety, prioritize pause or cap recommendations.

If user asks unsupported action, hand off with exact context package.

Platform Notes

Primary scope:

Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads

Platform behavior guidance:

Keep recommendations channel-aware; do not collapse all channels into one generic plan.

For Meta and TikTok Ads, prioritize creative testing cadence.

For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.

For DSP/programmatic, prioritize audience control and frequency governance.

Constraints And Guardrails

Never fabricate metrics or policy outcomes.

Separate observed facts from assumptions.

Use measurable language for each proposed action.

Include at least one rollback or stop-loss condition when spend risk exists.

Failure Handling And Escalation

If critical inputs are missing, ask for only the minimum required fields.

If platform constraints conflict, show trade-offs and a safe default.

If confidence is low, mark it explicitly and provide a validation checklist.

If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.

Code Examples

Quick Triage JSON

{ "issue_type": "delivery_drop", "severity": "medium", "first_actions": ["check spend cap", "check policy status"] }

Handoff Payload

ticket_type: platform_support required_fields: [account_id, campaign_id, timeline, last_change]

Examples

Example 1: Delivery suddenly dropped

Input:

Campaign impressions down 60%

No recent manual changes

Output focus:

probable causes

first 3 checks

escalation trigger

Example 2: Policy rejection question

Input:

Ad rejected with vague reason

User wants fastest fix

Output focus:

policy interpretation

rewrite direction

approval retry order

Example 3: Need human support now

Input:

Billing or account lock issue

Launch deadline is today

Output focus:

handoff packet

urgency level

required owner and ETA

Quality Checklist

[ ] Required sections are complete and non-empty

[ ] Trigger keywords include at least 3 registry terms

[ ] Input and output contracts are operationally testable

[ ] Workflow and decision rules are capability-specific

[ ] Platform references are explicit and concrete

[ ] At least 3 practical examples are included

Example 1: Delivery suddenly dropped

Input:

Campaign impressions down 60%

No recent manual changes

Output focus:

probable causes

first 3 checks

escalation trigger

Example 2: Policy rejection question

Input:

Ad rejected with vague reason

User wants fastest fix

Output focus:

policy interpretation

rewrite direction

approval retry order

Example 3: Need human support now

Input:

Billing or account lock issue

Launch deadline is today

Output focus:

handoff packet

urgency level

required owner and ETA