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human-handoff-coordinator

Escalate automation conversations to human ad experts for Meta (Facebook/Instagram), Google Ads, TikTok Ads, and YouTube Ads operations.

danyangliu-sandwichlab0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install danyangliu-sandwichlab/human-handoff-coordinator

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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, prio...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/human-handoff-coordinator
Version
—
Commit
c3b11bd8ebb77011441a5cbc5502474bb6bbb9d5
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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, prio...

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