Member Complaint Agent for Openclaw

A specialized AI agent that automates the analysis and resolution of customer complaints through a Linear-centered operating model.

qwqcode
v1.0.0
Mar 17, 2026
0
821
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install member-complaint-agent

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Member Complaint Agent?

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.

Member Complaint Agent Use Cases

  • Processing membership and refund-related complaints directly within Linear.
  • Automatically classifying customer intent and emotional intensity to prioritize urgent tickets.
  • Generating platform-specific response drafts for iOS and Android billing disputes.
  • Summarizing daily support trends and high-risk issues for management reporting.
  • Standardizing internal analysis comments to assist support staff in decision-making.

How Member Complaint Agent Works

  1. The agent extracts raw customer data, member identifiers, and technical metadata from a new or existing Linear issue.
  2. Rule-based logic parses deterministic fields such as platform, app version, and device model to ensure technical accuracy.
  3. AI models analyze the complaint to determine primary intent, risk levels, and whether a Standard Operating Procedure (SOP) applies.
  4. The agent routes the issue based on the parsed platform (e.g., Apple vs. Android) to the appropriate internal playbook.
  5. Two structured comments are generated: an internal AI analysis for the team and a ready-to-use draft for the customer.
  6. For long-term tracking, the agent compiles daily digests identifying recurring causes and unresolved high-priority complaints.

Member Complaint Agent Setup

To deploy the Member Complaint Agent within your environment, follow these configuration steps:

  1. Ensure your Openclaw Skills environment has the necessary Linear API credentials configured.
  2. Add your specific support policies to the references/complaint-playbook.md file to inform the agent's decision-making logic.
  3. Initialize the skill using the command line:
openclaw install member-complaint-agent
  1. Configure your webhook or intake workflow to pass Linear issue IDs to the agent for automated processing.

Member Complaint Agent Data Schema & Taxonomy

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.

Member Complaint Agent Advanced Features

  • Linear-centered operating model that treats project issues as the single source of truth.
  • Automated SOP routing based on channel-dependent billing rules (e.g., Apple vs. vendor-specific Android SOPs).
  • High-risk escalation triggers for mentions of regulators, legal threats, or viral exposure.
  • Daily digest mode for aggregating intent distribution and platform-specific complaint trends.
  • Minimum-safe drafting logic to prevent unauthorized refund commitments or policy exceptions.

SKILL.md


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