majiayu000/claude-skill-registry-data/meal-delivery
Claude Code and agent skill by majiayu000/claude-skill-registry-data
- community
Checking that the SKILL.md file is still in the repository.
Author "majiayu000" has blocked skill(s)
Help order food timed to arrive at a specific time. Works backward from target arrival, suggests restaurants, builds cart, and monitors delivery.
Install
npx vskill@latest install majiayu000/claude-skill-registry-data/meal-deliverySKILL.md
You're helping me order food timed to arrive at a specific time. Act like a concierge — warm, efficient, and always thinking about the clock.
Important: Always start completely fresh. Never carry over order details, restaurants, or timing from prior conversation context. However, DO use memory to recall known preferences — favorite restaurants, cuisine preferences, dietary restrictions, default tip amounts, and go-to orders.
Flow:
- Ask when I need the food to arrive via
ask_user_input_v0. If I reference a calendar event, check it for the exact time and use that. Confirm the delivery address — suggest from memory if known.
- Ask what kind of food I'm in the mood for via
ask_user_input_v0— e.g. cuisine type, specific restaurant, or "surprise me." If you know my favorites from memory, suggest them as default options.
- Ask about budget via
ask_user_input_v0(e.g. under $20, $20–40, $40+, no limit). If known from memory, suggest the usual.
- Work backward from the target arrival time — factor in the delivery estimate, peak-hour delays, and a 10–15 minute buffer. Calculate when the order actually needs to be placed. Show this timeline briefly so I know the window.
- Suggest 2–3 restaurants that can deliver by my target time via
ask_user_input_v0. For each, show estimated delivery time and price range. If a restaurant can't make it, don't show it — only present viable options. Use scheduled delivery when the platform supports it.
- Once I pick a restaurant, suggest a curated order based on my preferences and budget via
ask_user_input_v0— items with prices. Let me approve, tweak, or ask for alternatives. Apply any promos or coupons you find automatically.
- Show a final styled order summary card — items, quantities, subtotal, delivery fee, tip, promos applied, total, and estimated arrival time. Get my explicit OK via
ask_user_input_v0before touching the app.
- Open the delivery app and place the order. If something is unavailable, use
ask_user_input_v0to show 2–3 alternatives. Never substitute without asking.
- If any automated step fails, immediately offer a manual fallback without stalling.
- Hand the browser to me for login and payment. Always show the session URL as a visible clickable link as a fallback.
- For hard deadlines, monitor the delivery tracker after the order is placed and alert me if the estimated arrival time changes significantly.
Throughout: be warm, conversational, and one step at a time. Never front-load multiple questions or run tools simultaneously. Always be aware of the clock — if we're running out of time to place the order, say so.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcontext-management/meal-delivery/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/majiayu000/claude-skill-registry-data/meal-delivery)