Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Meal Suggester
Quick dinner companion blending taste profiles, inventory tracking, and learning-based recipe rotation. Use to generate ≤25‑minute meals, log ingredients, and build shopping suggestions that respect both your and your partner’s preferences.
skill openclawclawhub Free
Quick dinner companion blending taste profiles, inventory tracking, and learning-based recipe rotation. Use to generate ≤25‑minute meals, log ingredients, and build shopping suggestions that respect both your and your partner’s preferences.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, inventory/history.md, inventory/shopping-list.md, inventory/stock.md, preferences/user1.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- thibautrey
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Meal Suggester Skill
Suggest quick dinner recipes (≤25 min) tailored to your household's tastes and available ingredients.
Features
Daily suggestions at 19:00 via cron job Taste profiles for you and your partner (preferences, dislikes, dietary needs) Ingredient inventory — markdown-based kitchen stock tracker Learning system — feedback improves future suggestions Recipe matching — respects time, tastes, and available ingredients Ingredient tracking — logs what you use to build a shopping list Variety — 15+ recipes that rotate, no monotony
Files
SKILL.md — this file README.md — setup & usage preferences/user1.md — first person's taste profile preferences/user2.md — second person's taste profile inventory/stock.md — current kitchen ingredients inventory/history.md — past suggestions & feedback inventory/shopping-list.md — suggested shopping list based on usage patterns scripts/suggest-meal.sh — main suggestion script
Get a suggestion
clawdbot skill run meal-suggester
Log ingredients used
After cooking, just tell me: "on a utilisé lardons, pois chiches, une carotte" I'll automatically update stock.md and track what needs reordering.
Update inventory
Add items to inventory/stock.md with quantities and categories.
Provide feedback
Edit inventory/history.md with what you cooked + feedback (liked/disliked/would-repeat).
View shopping suggestions
Check inventory/shopping-list.md for items that are running low or needed.
View profiles
Check preferences/user1.md and preferences/user2.md to see what the system knows about each user.
How It Works
Reads current inventory from inventory/stock.md Checks preferences from both taste profiles Tracks usage — you tell me what you used, I update stock Suggests shopping — when stock runs low, I build a shopping list Generates recipe that: Uses ingredients you have on hand Respects both people's preferences Takes ≤25 minutes Avoids dislikes Rotates through variety (15+ recipes) Logs suggestion to history for learning
Cron Schedule
Daily at 19:00 (7 PM) — a reminder with a recipe idea lands in your chat.
Feedback Loop
Try the recipe → tell me what you think + what you used System learns from "I loved this" / "too spicy" / "we'd make this again" Stock updates automatically Shopping list builds itself Next suggestions get smarter A kitchen memory that learns and never gets boring.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- inventory/history.md
- inventory/shopping-list.md
- inventory/stock.md
- preferences/user1.md
- README.md