A specialized skill for triaging advertising automation and generating structured escalation packets for human experts across major ad platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install human-handoff-coordinator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install human-handoff-coordinator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Human Handoff Coordinator?
The Human Handoff Coordinator is a technical framework within the Openclaw Skills ecosystem designed to bridge the gap between AI automation and human advertising specialists. It focuses on high-stakes advertising workflows where decisions impact revenue, ROAS, and budget efficiency. By providing actionable plans rather than generic advice, this skill ensures that complex issues involving Meta, Google Ads, TikTok Ads, and YouTube Ads are handled with professional precision.
This component of Openclaw Skills specializes in creating detailed handoff packets and routing escalations based on urgency and risk. It enables developers and marketers to automate the initial diagnosis of campaign performance drops, policy rejections, and billing discrepancies, only involving human experts when technical thresholds or uncertainty levels are met.
Human Handoff Coordinator Use Cases
- Managing sudden drops in ad campaign impressions or performance without recent manual changes.
- Interpreting and resolving vague policy rejections from major ad platforms like Google or Meta.
- Handling high-risk account issues such as billing locks or account-level restrictions.
- Routing growth and strategy decisions that involve complex budget efficiency and demand-capture analysis.
- Creating structured support tickets for platform-specific technical issues like tracking breakage.
How Human Handoff Coordinator Works
- Classification: The skill analyzes the input to classify the question type into categories like how-to, diagnosis, policy, or strategy.
- Triage and Response: It provides the most direct answer first to resolve immediate concerns without unnecessary overhead.
- Context-Aware Checklist: An actionable checklist is generated based on the specific ad platform (e.g., prioritizing creative testing for TikTok or intent for Google Ads).
- Risk Assessment: If confidence is low or the issue impacts spend safety, the skill flags the situation for manual escalation.
- Handoff Generation: A structured payload is produced, containing all critical account, campaign, and context data for the human owner.
Human Handoff Coordinator Setup
To deploy the Human Handoff Coordinator within your Openclaw Skills library, ensure your agent is configured with access to your advertising account metadata and support ticketing API. Define your specific urgency levels and preferred response styles in the skill configuration.
# Integrate the skill into your project
openclaw install human-handoff-coordinator
# Trigger a manual handoff packet for a specific campaign
openclaw run human-handoff-coordinator --input '{"question": "Impressions down 60%", "urgency_level": "high"}'
Human Handoff Coordinator Data Schema & Taxonomy
The skill organizes its output into a rigorous format to ensure data integrity across Openclaw Skills integrations:
| Component | Description | Format |
|---|---|---|
issue_type |
The category of the problem (e.g., delivery_drop, policy_violation) | String |
severity |
Impact assessment (low, medium, high) | Enum |
first_actions |
Immediate technical steps to take (e.g., check spend caps) | Array |
handoff_payload |
The complete context package for human experts | Object |
escalation_criteria |
Specific triggers that necessitated the handoff | List |
Human Handoff Coordinator Advanced Features
- Platform-Specific Logic: Native intelligence for Meta, Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSPs.
- Spend Safety Guardrails: Automatic prioritization of spend caps or pausing recommendations when high risk is detected.
- Structured Handoff Payloads: Generates ready-to-use JSON objects for platform support tickets and internal team communication.
- Automated Root Cause Hypothesis: Uses diagnostic logic to identify probable causes before human intervention occurs.
- Channel-Aware Testing Cadence: Recommends platform-specific strategies like creative testing for Meta and query intent for Google.
SKILL.md
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