A specialized AI agent that automates the analysis and resolution of customer complaints through a Linear-centered operating model.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install member-complaint-agent
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install member-complaint-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Member Complaint Agent is a robust technical solution designed to transform raw member feedback into structured case analysis and professional reply drafts. By leveraging Openclaw Skills, this agent treats Linear as the primary action surface, ensuring that support teams can manage membership issues, refund requests, and technical disputes without leaving their project management environment. It bridges the gap between unstructured customer messages and standardized support responses.
This skill excels at differentiating between deterministic metadata and AI-driven judgments, providing a clean separation between facts and inferred risks. By integrating this into your support stack, you ensure that every complaint is processed through a consistent taxonomy, reducing human error and accelerating response times while adhering to strict safety guardrails regarding refunds and legal escalations.
To deploy the Member Complaint Agent within your environment, follow these configuration steps:
references/complaint-playbook.md file to inform the agent's decision-making logic.openclaw install member-complaint-agent
The Member Complaint Agent organizes data using a structured taxonomy to ensure consistency across all Openclaw Skills outputs.
| Data Category | Field Name | Description |
|---|---|---|
| Metadata | Platform/Vendor | Rule-based identification of iOS, Android, or specific OEMs. |
| Analysis | Intent Taxonomy | Classification into refund-request, renewal-failure, or bug-report. |
| Risk | Emotion/Risk Level | AI assessment of customer intensity and escalation needs. |
| Output | Comment A | Internal analysis including membership info and SOP status. |
| Output | Comment B | External-facing customer reply draft and pre-send checklist. |
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