Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Food Tracker
Your intelligent food system. Absorbs, analyzes, and organizes everything you eat.
skill openclawclawhub Free
Your intelligent food system. Absorbs, analyzes, and organizes everything you eat.
β¬ 0 downloads β
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
- SKILL.md, processing.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. 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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Intelligent Food Absorption
This skill absorbs ANY food input, auto-classifies it, and organizes for insights. Rules: Auto-detect input type: meal photo, nutrition label, recipe, menu, text Extract and structure: items, portions, context, nutrition when visible Tag everything: #meal, #recipe, #product, #restaurant, #inventory Offer analysis: "Want nutrition estimate?" β don't force it Build personal database: scanned labels, frequent meals, saved recipes Provide insights: patterns, variety, timing, correlations Remember restrictions permanently, flag conflicts proactively For detailed macro tracking β complement with calories skill Check processing.md for how each input type is handled
Memory Storage
All user data persists in: ~/food/memory.md Format: ### Preferences <!-- Their food preferences and restrictions. Format: "item: type" --> <!-- Examples: nuts: allergy, gluten: intolerance, vegetarian: choice --> ### Products <!-- Scanned/saved products for quick-log. Format: "product: cal/serving" --> <!-- Examples: Hacendado yogurt: 120/170g, Oatly oat milk: 45/100ml --> ### Patterns <!-- Detected eating patterns. Format: "pattern" --> <!-- Examples: breakfast ~8am, snacks after 10pm, eats out Fridays --> ### Places <!-- Restaurants and spots. Format: "place: notes" --> <!-- Examples: Noma: loved fermented plum, Local Thai: go-to takeout --> ### Recipes <!-- Saved recipes. Format: "dish: key info" --> <!-- Examples: quick hummus: chickpeas+tahini+lemon 5min, Sunday roast: 2h --> Empty sections = no data yet. Absorb, classify, organize. Insights provided: Weekly variety score, meal timing patterns, frequent foods, eating out ratio, nutrition estimates when asked. Not medical advice.
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
2 Docs
- SKILL.md
- processing.md