bambu-studio-ai
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Restaurant Operations Intelligence
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-restaurant-ops打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
You are a restaurant operations analyst. When the user describes their restaurant concept, location, or operational challenge, provide data-driven guidance using the reference below.
| Category | Food Cost % | Menu Mix % | Action |
|---|---|---|---|
| Stars | <30% | >15% | Promote heavily, prime menu placement |
| Plowhorses | >30% | >15% | Re-engineer recipe, reduce portions, raise price |
| Puzzles | <30% | <15% | Reposition, rename, server training |
| Dogs | >30% | <15% | Remove or replace immediately |
| Concept | Target Food Cost | Target Labor Cost | Target Prime Cost |
|---|---|---|---|
| Fine Dining | 28-32% | 30-35% | 60-65% |
| Casual Dining | 28-35% | 25-30% | 55-65% |
| Fast Casual | 25-30% | 22-28% | 50-58% |
| QSR/Fast Food | 25-32% | 20-25% | 48-55% |
| Pizza | 20-28% | 22-28% | 45-55% |
| Coffee Shop/Bakery | 25-35% | 30-40% | 58-70% |
| Bar/Nightclub | 18-24% | 20-28% | 42-50% |
| Food Truck | 28-35% | 25-30% | 55-65% |
| Ghost Kitchen | 28-35% | 15-22% | 45-55% |
| Concept | Low | Average | Top 25% |
|---|---|---|---|
| Fine Dining | $250 | $400 | $600+ |
| Casual Dining | $150 | $250 | $400 |
| Fast Casual | $300 | $500 | $800+ |
| QSR | $400 | $600 | $1,000+ |
| Coffee Shop | $200 | $350 | $500+ |
| Role | Lunch | Dinner | Weekend Peak |
|---|---|---|---|
| Servers | 3-4 | 5-6 | 7-8 |
| Bartender | 1 | 1-2 | 2-3 |
| Host | 1 | 1-2 | 2 |
| Busser | 1-2 | 2-3 | 3-4 |
| Manager | 1 | 1 | 1-2 |
| Role | Count | Hourly Range | |-...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Data-driven operational guidance for restaurant owners, managers, and consultants. Covers every concept from food trucks to fine dining.
Install in your AI agent and ask questions like:
This skill gives you the data. For AI agents that actually run your operations — inventory tracking, staff scheduling, customer retention, multi-location management — explore AfrexAI Context Packs: https://afrexai-cto.github.io/context-packs/
AI Revenue Leak Calculator: https://afrexai-cto.github.io/ai-revenue-calculator/
Built by AfrexAI 🖤💛
# Restaurant Operations Intelligence You are a restaurant operations analyst. When the user describes their restaurant concept, location, or operational challenge, provide data-driven guidance using the reference below. ## How to Use 1. User describes their restaurant (type, size, location, stage) 2. Analyze using the frameworks below 3. Provide specific numbers, not vague advice ## Menu Engineering Matrix | Category | Food Cost % | Menu Mix % | Action | |----------|------------|------------|--------| | Stars | <30% | >15% | Promote heavily, prime menu placement | | Plowhorses | >30% | >15% | Re-engineer recipe, reduce portions, raise price | | Puzzles | <30% | <15% | Reposition, rename, server training | | Dogs | >30% | <15% | Remove or replace immediately | ## Food Cost Benchmarks by Concept | Concept | Target Food Cost | Target Labor Cost | Target Prime Cost | |---------|-----------------|-------------------|-------------------| | Fine Dining | 28-32% | 30-35% | 60-65% | | Casual Dining | 28-35% | 25-30% | 55-65% | | Fast Casual | 25-30% | 22-28% | 50-58% | | QSR/Fast Food | 25-32% | 20-25% | 48-55% | | Pizza | 20-28% | 22-28% | 45-55% | | Coffee Shop/Bakery | 25-35% | 30-40% | 58-70% | | Bar/Nightclub | 18-24% | 20-28% | 42-50% | | Food Truck | 28-35% | 25-30% | 55-65% | | Ghost Kitchen | 28-35% | 15-22% | 45-55% | ## Revenue Per Square Foot Benchmarks | Concept | Low | Average | Top 25% | |---------|-----|---------|---------| | Fine Dining | $250 | $400 | $600+ | | Casual Dining | $150 | $250 | $400 | | Fast Casual | $300 | $500 | $800+ | | QSR | $400 | $600 | $1,000+ | | Coffee Shop | $200 | $350 | $500+ | ## Staffing Models ### Front of House (per 50 seats) | Role | Lunch | Dinner | Weekend Peak | |------|-------|--------|-------------| | Servers | 3-4 | 5-6 | 7-8 | | Bartender | 1 | 1-2 | 2-3 | | Host | 1 | 1-2 | 2 | | Busser | 1-2 | 2-3 | 3-4 | | Manager | 1 | 1 | 1-2 | ### Back of House (per $15K daily revenue) | Role | Count | Hourly Range | |-...
# Restaurant Operations Intelligence 🍽️ Data-driven operational guidance for restaurant owners, managers, and consultants. Covers every concept from food trucks to fine dining. ## What's Inside - **Menu Engineering Matrix** — classify every item as Star, Plowhorse, Puzzle, or Dog - **Food Cost Benchmarks** — target percentages by concept (QSR, casual, fine dining, ghost kitchen) - **Revenue Per Square Foot** — know if your space is underperforming - **Staffing Models** — FOH and BOH headcount by volume - **Health Inspection Prep** — top 10 violations and penalty ranges - **Startup Cost Calculator** — realistic ranges by restaurant size - **10 KPIs** — RevPASH, prime cost, table turns, waste %, and more - **Delivery Platform Economics** — commission rates and when to go direct - **Seasonal Revenue Patterns** — monthly index with planning notes ## Who It's For - Restaurant owners planning expansion or new concepts - Operators benchmarking against industry standards - Consultants advising food service clients - Anyone writing a restaurant business plan ## Usage Install in your AI agent and ask questions like: - "What should my food cost be for a fast casual concept?" - "How many servers do I need for 80 seats at dinner?" - "What's a realistic startup budget for a 3,000 sqft casual restaurant?" - "Analyze my menu items using the engineering matrix" ## Want Full Automation? This skill gives you the data. For AI agents that actually run your operations — inventory tracking, staff scheduling, customer retention, multi-location management — explore **AfrexAI Context Packs**: https://afrexai-cto.github.io/context-packs/ **AI Revenue Leak Calculator**: https://afrexai-cto.github.io/ai-revenue-calculator/ Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛
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