关于
This skill provides essential domain knowledge for building restaurant and hospitality software, covering key concepts like menu modifiers, inventory, and financial constraints. It's used when designing core products like online ordering, reservations, loyalty programs, or scheduling to avoid naive data models. Apply it during architectural planning or feature specification for restaurant-specific features.
快速安装
Claude Code
推荐npx skills add avelikiy/great_cto -a claude-code/plugin add https://github.com/avelikiy/great_ctogit clone https://github.com/avelikiy/great_cto.git ~/.claude/skills/vertical-restaurants在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Vertical: restaurants & hospitality — don't spec it naive
Restaurants run on razor-thin margins (net 3–6%) with a hostile incumbent
stack. A spec that treats a menu as a flat list of {name, price} or
ignores who already owns the POS will ship something no operator can use.
This skill loads the domain so architect/pm sound like they've worked a
shift.
The 4 products in this vertical:
| Product | Archetype | One-liner |
|---|---|---|
| online-ordering | content | Own menu + checkout for dine-in/pickup/delivery — dodge aggregator fees |
| reservations | booking | Bookings, tables, text-the-waitlist |
| loyalty | crm | Points, offers, win-back |
| shift-scheduling | booking | Rota, open shifts, swaps with coverage rules |
Incumbents to position against: Toast (POS, ~$69–165/mo + hardware + 2.49%+ per swipe), Square (POS/SMB), SevenRooms (reservations/CRM, upmarket), ChowNow (commission-free ordering), DoorDash / Uber Eats / Grubhub (aggregators, 15–30% commission per order).
1. Domain vocabulary (use these words in the spec)
- COGS / food cost % — cost of ingredients ÷ menu price. Target ~28–35%.
- Prime cost — food cost + labor cost; the number operators obsess over (target ≤ ~60% of sales).
- Menu engineering — classifying items by popularity × margin into stars (high/high), plowhorses, puzzles, dogs (low/low). Drives what gets promoted or cut.
- 86'd — an item is out of stock / unavailable ("we're 86 on the salmon"). Must propagate instantly to every ordering channel.
- Modifiers / mods — choices on an item (size, temp, add bacon, no onions, sub fries). Grouped, with required/optional + min/max rules.
- Covers — number of guests served (a "200-cover night").
- Turn time — how long a table is occupied; reservations math depends on it (a 2-top turns in ~75 min).
- FOH / BOH — front of house (servers, host, bar) / back of house (kitchen, prep, dish). Scheduling and tips differ between them.
- Tip pooling — pooled tips split by rule (hours, role, points). Legally constrained — see §6.
- Comps / voids — comp = item given free (manager discretion); void = item removed before it's made. Both need audit trails.
- Ticket times — elapsed time from order fired to served; the kitchen's core SLA.
- Third-party aggregator commission — the 15–30% DoorDash/Uber Eats/ Grubhub take. The pain that makes owned ordering a wedge.
- KDS (kitchen display system) — screen in the kitchen that replaces paper tickets; orders route to it by station.
2. Non-obvious domain rules
- The POS is the sticky system of record — don't fight it. Toast/Square own the menu, payments, and floor. Our products integrate with or sit beside the POS; they don't try to replace it. Sync the menu, don't fork it.
- Aggregator commission is the wound; owned online-ordering is the wedge. A restaurant paying 25% to DoorDash on a $40 order keeps $30. Commission- free direct ordering is the single clearest ROI pitch — lead with it.
- Menus have deep modifier hierarchies, not flat prices. "Burger" → size group (required, choose 1) → temp group (required) → add-ons (optional, 0–5) → side (required, choose 1, sub upcharges). Price = base + mods.
- 86'd / out-of-stock is real-time and must sync everywhere. When the kitchen 86's an item it must vanish from online ordering, KDS, and the POS simultaneously, or you sell what you can't make.
- Tips have legal handling. Pooling rules, who can share (FLSA bars managers/owners from tip pools), tip credit, and service-charge vs tip distinction are labor-law constrained, not free-form.
- Margins are razor-thin. A feature that adds 30¢/order of cost can erase the margin on that order. Cost-consciousness is a feature, not a nicety.
- Reservations + waitlist are SMS-driven. "Your table's ready" is a text, not an email. Waitlist quote times and ready-pings are the product.
3. What a naive build gets wrong
- Flat menu, no modifier hierarchy.
{name, price}can't express "medium, well-done, add bacon, sub fries (+$2)". Model modifier groups with required/optional + min/max from day one. - Ignoring 86'd / out-of-stock. Selling a sold-out item online is a refund, an angry guest, and a chargeback. Stock state is first-class.
- Online ordering that doesn't sync the menu. A second menu that drifts from the POS menu means wrong prices and phantom items. One source of truth, synced.
- Tip handling that breaks labor law. Letting managers into the pool, or mislabeling a service charge as a tip, is an FLSA violation, not a bug.
- No dine-in vs pickup vs delivery distinction. Each channel has different fulfillment, timing, fees, address/table data, and tax. One generic "order" type is wrong.
- Loyalty that's points-only with no win-back. Points without a lapsed- guest re-engagement flow (offers, "we miss you") leaves the highest-ROI CRM lever on the table.
4. Must-model entities
- MenuItem — base price, category, station, tax class, availability state (available / 86'd / scheduled), with one or more ModifierGroups.
- ModifierGroup —
{required: bool, min, max}+ ordered Modifiers (name, price delta, default, in-stock). Hierarchy, not a flat list. - Order — channel (
dine_in | pickup | delivery), status (placed → confirmed → preparing → ready → completed | cancelled), line items with resolved modifiers, computed total, table/address per channel. - Reservation — party size, time, turn-time estimate, table assignment, status; plus Waitlist entry (quoted wait, ready-ping, SMS thread).
- Shift — role (FOH/BOH), start/end, coverage rule (min staff per role/time), open shift + swap request with approval/coverage check.
- LoyaltyMember — identity (phone-first), points balance, earn/redeem ledger, last-visit (for win-back segmentation), consent state.
5. Per-product notes (wedge + the one domain thing)
- online-ordering (content) — Wedge: commission-free direct ordering vs DoorDash's 15–30% and Toast Online Ordering's per-order fee. The one thing: the menu + modifier hierarchy must sync from the POS and honor 86'd state, across dine-in/pickup/delivery, or it's worse than the aggregator it replaces. Menus rank locally → see [[local-seo]].
- reservations (booking) — Wedge: SevenRooms is upmarket/expensive; give SMBs bookings + waitlist without the price tag. The one thing: it's SMS-first — text-the-waitlist and ready-pings are the product; turn time drives table availability. SMS consent → [[lifecycle-messaging]].
- loyalty (crm) — Wedge: most POS loyalty is points-only; we add offers + win-back. The one thing: lapsed-guest re-engagement (segment by last-visit, send an offer) is where the revenue is — design win-back, not just an earn-points counter. Sends → [[lifecycle-messaging]].
- shift-scheduling (booking) — Wedge: rota + open shifts + swaps cheaper/simpler than the incumbents. The one thing: swaps must enforce coverage rules (min staff per role per time band) — an unconstrained swap that leaves the line uncovered is the failure mode.
6. Compliance (light — defer the heavy lifts)
- Tip pooling / labor law (FLSA) — managers/owners may not share in tip pools; keep tip vs service-charge distinct; honor tip-credit rules. State law varies (e.g. CA). Surface as a constraint; get specifics confirmed.
- Food-allergen disclosure — the big 9 US allergens must be declarable on menu items; some jurisdictions require menu labeling. Model allergen tags on MenuItem.
- SMS consent for waitlist/loyalty — TCPA consent, STOP/HELP, quiet hours apply to every text. Defer the mechanics to [[lifecycle-messaging]].
- Payment — PCI scope, SCA, refunds/chargebacks. Defer billing/payment design to the billing/PCI track; don't hand-roll card handling here.
Cross-refs: [[lifecycle-messaging]] (every SMS/email leg — consent + deliver- ability), [[local-seo]] (menus and reservations rank locally; "best tacos near me" is the funnel), [[migration-ready-schema]] (importing an existing menu / guest list from the incumbent POS without losing modifier structure).
GitHub 仓库
常见问题
什么是 vertical-restaurants Skill?
vertical-restaurants 是一个 Claude Skill,作者为 avelikiy。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 vertical-restaurants 相关的任务。
如何安装 vertical-restaurants?
使用本页的安装命令:将 vertical-restaurants 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。
vertical-restaurants 属于哪个分类?
vertical-restaurants 属于其他分类。
vertical-restaurants 可以免费使用吗?
可以。vertical-restaurants 已收录在 AIMCP,可免费安装。
相关推荐技能
LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。
这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。
该Skill为开发者提供体育博彩数据分析工具,可分析盘口、大小球和特殊投注,识别价值投注机会。它整合历史数据和情景统计,生成包含时间戳的结构化Markdown报告。适用于需要快速获取博彩市场洞察的娱乐或教育类应用开发。
这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。
