Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Provide precise, data-driven restaurant operations advice based on concept, location, and challenges using industry benchmarks and key performance metrics.
Provide precise, data-driven restaurant operations advice based on concept, location, and challenges using industry benchmarks and key performance metrics.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
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.
User describes their restaurant (type, size, location, stage) Analyze using the frameworks below Provide specific numbers, not vague advice
CategoryFood Cost %Menu Mix %ActionStars<30%>15%Promote heavily, prime menu placementPlowhorses>30%>15%Re-engineer recipe, reduce portions, raise pricePuzzles<30%<15%Reposition, rename, server trainingDogs>30%<15%Remove or replace immediately
ConceptTarget Food CostTarget Labor CostTarget Prime CostFine Dining28-32%30-35%60-65%Casual Dining28-35%25-30%55-65%Fast Casual25-30%22-28%50-58%QSR/Fast Food25-32%20-25%48-55%Pizza20-28%22-28%45-55%Coffee Shop/Bakery25-35%30-40%58-70%Bar/Nightclub18-24%20-28%42-50%Food Truck28-35%25-30%55-65%Ghost Kitchen28-35%15-22%45-55%
ConceptLowAverageTop 25%Fine Dining$250$400$600+Casual Dining$150$250$400Fast Casual$300$500$800+QSR$400$600$1,000+Coffee Shop$200$350$500+
RoleLunchDinnerWeekend PeakServers3-45-67-8Bartender11-22-3Host11-22Busser1-22-33-4Manager111-2
RoleCountHourly RangeExecutive Chef1Salary $55K-$85KSous Chef1-2$18-$28Line Cook3-5$15-$22Prep Cook2-3$13-$18Dishwasher1-2$12-$16
Improper holding temperatures โ hot food <135ยฐF, cold food >41ยฐF Inadequate handwashing โ no soap, no paper towels, infrequent washing Cross-contamination โ raw proteins stored above ready-to-eat No certified food manager โ required in most jurisdictions Pest evidence โ droppings, nesting, live insects Expired food items โ no date labels on prep items Improper cooling โ must cool from 135ยฐF to 70ยฐF in 2 hours, then to 41ยฐF in 4 more Chemical storage โ cleaning chemicals stored near food Equipment sanitation โ cutting boards, slicers not sanitized between uses Employee illness policy โ no written policy for reporting symptoms Penalty range: $100-$1,000 per violation. Repeat critical violations = temporary closure.
ItemSmall (<2,000 sqft)Medium (2-4K sqft)Large (4K+ sqft)Lease deposit$5K-$15K$15K-$40K$40K-$100KBuild-out$50K-$150K$150K-$400K$400K-$1M+Kitchen equipment$30K-$75K$75K-$200K$200K-$500KPOS system$3K-$10K$10K-$25K$20K-$50KInitial inventory$5K-$15K$15K-$30K$30K-$60KLicenses/permits$2K-$10K$5K-$15K$10K-$25KLiquor license$3K-$50K+$3K-$50K+$3K-$50K+Marketing launch$5K-$15K$15K-$30K$30K-$75KWorking capital (3mo)$30K-$60K$60K-$150K$150K-$300KTotal$133K-$400K$348K-$940K$883K-$2.2M
Revenue per available seat hour (RevPASH) โ revenue รท (seats ร hours open) Table turn time โ average minutes from seat to check close Average check size โ total revenue รท covers Food cost % โ COGS รท food revenue Labor cost % โ total labor รท total revenue Prime cost % โ (food cost + labor) รท total revenue (target: <65%) Waste % โ spoilage + comp + void รท food purchases Employee turnover rate โ industry avg 75%/year, top operators <50% Online review score โ Google/Yelp average (target: 4.3+) Break-even point โ fixed costs รท (1 - variable cost %)
PlatformCommissionProsConsDoorDash15-30%Largest US market shareHigh commission, owns customer dataUber Eats15-30%Global reachSame issues as aboveGrubhub15-30%Strong in NortheastDeclining market shareDirect (own site)0-5%Own customer data, lower costMust drive own trafficGhost kitchen modelN/ANo FOH cost, multi-brandNo dine-in revenue, brand building harder Rule of thumb: If delivery >20% of revenue, negotiate commission or invest in direct ordering.
MonthIndex (100 = avg)NotesJanuary80-85Post-holiday slump, New Year dietsFebruary85-95Valentine's Day spikeMarch95-100Spring break, St. Patrick's DayApril100-105Easter, patio season startsMay105-115Mother's Day (busiest restaurant day), graduationJune105-110Summer dining, tourismJuly100-1054th of July, vacation slowdownsAugust95-100Back to school transitionSeptember95-100Labor Day, routine resumesOctober100-105Fall dining, HalloweenNovember105-115Thanksgiving week huge, otherwise averageDecember110-120Holiday parties, NYE
This skill covers operational fundamentals. For full AI-powered business automation โ inventory management, staff scheduling optimization, customer retention systems, and multi-location scaling โ check out AfrexAI Context Packs: https://afrexai-cto.github.io/context-packs/ Built by AfrexAI โ turning operational data into revenue. https://afrexai-cto.github.io/ai-revenue-calculator/
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.