Restaurant GM Publishes First OpenClaw Skill for QSR Operations

✍️ OpenClawRadar📅 Published: March 26, 2026🔗 Source
Restaurant GM Publishes First OpenClaw Skill for QSR Operations
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Blake McPherson, a corporate restaurant GM with 16 years of QSR experience, has published the first restaurant-focused skill on ClawHub. The skill, called qsr-daily-ops-monitor, addresses a gap in the platform's offerings—while ClawHub has over 13,000 skills for dev tools, trading bots, and social media automation, nothing existed for physical business operations until now.

What the Skill Does

The qsr-daily-ops-monitor is a daily compliance monitoring skill built specifically for restaurant and franchise operators. It runs three check-ins per day:

  • Opening
  • Mid-shift
  • Closing

Each check-in includes five items covering food safety, temperatures, date labeling, sanitizer, and equipment status. The agent asks simple questions to operators or shift leads, logs everything, tracks patterns over time, and flags specific issues.

Key Detection Features

The system flags several operational patterns:

  • Date dot compliance failing across multiple days (which cascades quickly if not caught)
  • Checks being rubber-stamped—if every item passes every day with zero notes for two weeks, someone's likely not actually looking
  • Closing checks getting skipped on certain days (usually indicating a staffing pattern issue)

The skill is based on the exact system McPherson has used to maintain consistent compliance scores at his store for multiple consecutive years. No POS integration is required—it works entirely through conversation.

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Technical Implementation

McPherson has been building with OpenClaw on a DigitalOcean VPS for several weeks, running two agents:

  • One for system orchestration
  • One for financial tracking

This skill is part of a larger project called McPherson AI, focused on deploying autonomous agents to franchise and retail operators. The agents handle operational monitoring that GMs typically manage mentally: food cost variance, labor scheduling, compliance readiness, and determining what needs attention next.

Deployment Architecture

Each deployment is containerized with client data isolated in their own environment. McPherson describes the project as early stage with no paying clients yet, but with a working system, documented architecture, and now a published skill. He's building in public from this point forward.

The skill is available on ClawHub under qsr-daily-ops-monitor. McPherson is also interested in connecting with others building operational agents for different verticals to compare notes.

📖 Read the full source: r/openclaw

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👀 See Also