# Send Food Delivery to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text 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. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "food-delivery", "name": "Food Delivery", "source": "tencent", "type": "skill", "category": "内容创作", "sourceUrl": "https://clawhub.ai/ivangdavila/food-delivery", "canonicalUrl": "https://clawhub.ai/ivangdavila/food-delivery", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/food-delivery", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=food-delivery", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "decisions.md", "memory-template.md", "ordering.md", "traps.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/food-delivery" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/food-delivery", "downloadUrl": "https://openagent3.xyz/downloads/food-delivery", "agentUrl": "https://openagent3.xyz/skills/food-delivery/agent", "manifestUrl": "https://openagent3.xyz/skills/food-delivery/agent.json", "briefUrl": "https://openagent3.xyz/skills/food-delivery/agent.md" } } ``` ## Documentation ### When to Use User wants their agent to handle the entire food ordering process — from deciding what to eat, through comparing options, to placing the actual order. Agent learns preferences over time and makes increasingly better choices. ### Architecture Memory lives in ~/food-delivery/. See memory-template.md for setup. ~/food-delivery/ ├── memory.md # Core preferences, restrictions, defaults ├── restaurants.md # Restaurant ratings, dishes, notes ├── orders.md # Recent orders for variety tracking └── people.md # Household/group member preferences User creates these files. Templates in memory-template.md. ### Quick Reference TopicFileMemory setupmemory-template.mdDecision frameworkdecisions.mdOrdering workflowordering.mdCommon trapstraps.md ### Data Storage All data stored in ~/food-delivery/. Create on first use: mkdir -p ~/food-delivery ### Scope This skill handles: Learning cuisine and taste preferences Storing restaurant ratings and dish notes Comparing prices across delivery platforms Finding active promotions and coupons Placing orders via browser automation Tracking recent orders for variety Managing household member preferences Coordinating group orders User provides: Delivery app credentials (stored in their browser/app) Delivery address (configured in their apps) Payment methods (configured in their apps) ### Self-Modification This skill NEVER modifies its own SKILL.md. All learned data stored in ~/food-delivery/ files. ### 1. Learn Preferences Explicitly User saysStore in memory.md"I'm vegetarian"restriction: vegetarian"I love spicy food"preference: spice_level=high"Allergic to shellfish"CRITICAL: shellfish (always filter)"I don't like olives"avoid: olives"Budget around $20"default_budget: $20"Usually order dinner around 7pm"default_time: 19:00 ### 2. Restriction Hierarchy CRITICAL (allergies, medical) → ALWAYS filter, never suggest FIRM (religious, ethical, diet) → filter unless user overrides PREFERENCE (taste) → consider but flexible For CRITICAL restrictions: Add note to EVERY order specifying the allergy Verify restaurant can accommodate Never suggest "you could try it anyway" ### 3. The Decision Flow When user asks to order food: Step 1: Context What time is it? (breakfast/lunch/dinner) What day? (weekday functional vs weekend exploratory) Any stated mood or occasion? How many people? Step 2: Filter Remove anything violating CRITICAL restrictions Remove recently repeated (variety protection) Remove closed restaurants Apply budget constraints Step 3: Compare Check same restaurant across platforms Find active promos/coupons Calculate total cost (food + delivery + fees) Step 4: Present Show 2-3 options maximum Include reasoning for each Show price comparison if relevant Recommend one based on user history Step 5: Confirm & Order Get explicit confirmation Place order via browser Confirm order placed with ETA ### 4. Variety Protection Track in orders.md: Last 14 days of orders (restaurant + cuisine type) Triggers: Same restaurant 3x in 7 days → "You've ordered from [X] a lot. Want to try something similar?" Same cuisine 4x in 7 days → suggest different category Haven't tried category user likes in 2+ weeks → suggest it ### 5. Price Optimization Before ordering: Check restaurant on all user's delivery apps Compare base prices (often differ by platform) Check for active coupons/promos Factor in delivery fees and service charges Recommend cheapest option for same food Tell user: "Same order is $4 cheaper on [Platform] today" ### 6. Group Orders When ordering for multiple people: Load ~/food-delivery/people.md for known preferences Collect any new restrictions Find intersection cuisine (works for everyone) Suggest variety restaurants (broad menus) Calculate fair split if needed Default crowd-pleasers when no consensus: Pizza (customizable) Burgers (something for everyone) Tacos (variety of fillings) Chinese (range of dishes) Indian (vegetarian options) ### 7. Context Adaptation ContextBehavior"I'm tired"Comfort food, familiar favorites"Celebrating"Higher-end, special occasion spots"In a hurry"Fastest delivery, simple orders"Working lunch"Quick, not messy, productive-friendly"Date night"Quality over speed, ambiance matters"Hungover"Greasy comfort, hydrating, gentle"Post-workout"Protein-heavy, healthier optionsRainy dayWarn about longer delivery timesFriday nightCan wait for qualitySunday morningBrunch options, recovery mode ### 8. Proactive Suggestions When appropriate (not spammy): Notify of flash sales on favorite restaurants Remind of unused loyalty points Suggest reordering past successes Mention new restaurants matching preferences ### 9. Order Execution Via browser automation: Open user's preferred delivery app Navigate to restaurant Add items to cart Apply any coupons found Verify delivery address Confirm order total with user Place order Report confirmation and ETA Always confirm before final checkout. ### 10. Problem Handling If order has issues: Missing items → help file complaint Wrong items → help request refund Late delivery → track and communicate Quality issues → record in restaurant notes ### Stored Locally (in ~/food-delivery/) Cuisine preferences and restrictions Restaurant ratings and dish notes Recent order log (variety tracking) Household member preferences Budget defaults ### User Manages (in their apps) Delivery addresses Payment methods Account credentials ### Agent Does NOT Store Credit card numbers Exact addresses Account passwords Order receipts with payment details ## Trust - Source: tencent - Verification: Indexed source record - Publisher: ivangdavila - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/food-delivery) - [Send to Agent page](https://openagent3.xyz/skills/food-delivery/agent) - [JSON manifest](https://openagent3.xyz/skills/food-delivery/agent.json) - [Markdown brief](https://openagent3.xyz/skills/food-delivery/agent.md) - [Download page](https://openagent3.xyz/downloads/food-delivery)