A comprehensive 12-step onboarding wizard designed to transform blank AI agents into fully operational retail digital employees.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install retail-agent-setup
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 retail-agent-setup 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 Retail Agent Setup Onboarding Wizard?
Retail Agent Setup is a specialized onboarding framework within the Openclaw Skills ecosystem. It guides businesses through the technical and operational journey of configuring a digital employee tailored to specific retail environments. The skill ensures that every aspect of a store's operations—from POS system integration and inventory data mapping to persona design and escalation protocols—is systematically addressed.
By following a structured execution protocol, this skill creates persistent artifacts in the agent's memory. This allows the 20–40 minute setup process to be entirely cumulative and resumable, ensuring that retail businesses can transition from zero configuration to a live, channel-integrated AI assistant with confidence and technical accuracy.
Retail Agent Setup Onboarding Wizard Use Cases
- Initial configuration of a new retail digital employee for a store or chain.
- Customizing an existing agent's role, such as switching from customer service to supply chain support.
- Integrating an AI agent with existing retail tech stacks like POS, ERP, or CRM systems.
- Scaling AI assistant deployments across multiple retail verticals including apparel, electronics, and pharmacies.
How Retail Agent Setup Onboarding Wizard Works
- The user triggers the process by requesting a retail agent setup or digital employee configuration.
- The wizard performs a system inventory and data infrastructure assessment to map existing tech stacks and API availability.
- Data is imported and auto-structured into a knowledge base using specialized Python scripts for parsing products and policies.
- Users select a specific role and configure associated skill bundles, parameters, and escalation rules.
- The agent's persona and communication channels (e.g., WeCom, WhatsApp, Lark) are integrated and tested.
- A pre-launch suite of test cases is executed; the agent must achieve a readiness score of 80+ before going live.
- Upon launch, the system generates staff onboarding materials and schedules continuous improvement digests.
Retail Agent Setup Onboarding Wizard Setup
To begin the onboarding process, ensure your environment is ready to interface with Openclaw Skills and execute the following command in your terminal:
# Start the retail agent setup wizard
openclaw run retail-agent-setup
If you are resuming a previous session, the agent will automatically detect the retail_setup_state from memory and prompt you to continue from the last completed step.
Retail Agent Setup Onboarding Wizard Data Schema & Taxonomy
The skill manages state and configuration through a structured JSON schema stored in agent memory. Each step generates a specific artifact summarized in the table below:
| Step | Artifact | File/Key |
|---|---|---|
| 03 | Knowledge Base | structured_kb.json |
| 05 | Skills Config | skills-config.json |
| 07 | Persona | persona-config.json |
| 09 | Permissions | permissions-matrix.json |
| 11 | Staff Guide | handoff-guide.pdf |
All progress is tracked under the retail_setup_state key, including timestamps, completed step indices, and nested artifact objects.
Retail Agent Setup Onboarding Wizard Advanced Features
- Resumable State Management: Automatic checkpointing allows users to pause and resume the 12-step process without data loss.
- Vertical-Specific Templates: Pre-configured defaults for over 15 retail verticals including Beauty, Electronics, and Specialty Food.
- Automated Validation: Integrated scripts for knowledge base scoring and automated test case generation to ensure response accuracy.
- Multi-Level Escalation: A 4-level permission matrix ranging from autonomous handling (L0) to forced human escalation (L3).
- Automated Reporting: Post-launch cron jobs for weekly unanswered-question digests and monthly usage analytics.
SKILL.md
Loading
Related Openclaw Skills
Klenty
A powerful sales engagement skill that enables AI agents to automate prospect outreach, manage email cadences, and synchronize CRM data through the Membrane framework.
WeChat Share
A specialized tool for exporting and importing selected Openclaw workspace files between users with optional burn-after-read security.
Nearby Cinemas
A location-based skill that enables AI agents to find and filter movie theaters within a specified radius using precise coordinates.
DingTalk AI Table Insights
A sophisticated AI-driven analysis tool for DingTalk AI Tables that performs cross-sheet insights and risk identification.
Vendor Risk Briefing Assistant
A specialized tool for generating concise risk summaries for external SaaS and API vendors, focusing on integration impact and data flow.
Textin Document Parser
A powerful document AI skill that parses complex PDFs, images, and Office files into structured Markdown and JSON data.
Featured*
