Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Calorie Counter
Track daily calorie and protein intake, set goals, and log weight. Use when user mentions food they ate, wants to know remaining calories, or needs to track weight. Stores data in SQLite with automatic daily totals.
skill openclawclawhub Free
Track daily calorie and protein intake, set goals, and log weight. Use when user mentions food they ate, wants to know remaining calories, or needs to track weight. Stores data in SQLite with automatic daily totals.
⬇ 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
- QUICK_START.md, README.md, SKILL.md, _meta.json, scripts/calorie_tracker.py
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
- 1.0.0
Provenance
- Publisher
- cnqso
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Calorie Counter
Simple, reliable calorie and protein tracking with SQLite database.
Features
Manual Entry: Add food with calories and protein Protein Tracking: Monitor daily protein intake Daily Goals: Set custom calorie targets Weight Tracking: Log weight in pounds Instant Feedback: See totals immediately after adding food History: View past days and trends
Adding Food
python scripts/calorie_tracker.py add "chicken breast" 165 31 python scripts/calorie_tracker.py add "banana" 100 1 Shows immediate feedback with today's totals and remaining calories.
Viewing Today's Summary
python scripts/calorie_tracker.py summary Shows: All entries for today Total calories and protein consumed Daily goal and remaining calories Progress percentage
Setting Goals
python scripts/calorie_tracker.py goal 2000 Sets the daily calorie goal (persists).
Weight Tracking
python scripts/calorie_tracker.py weight 175 python scripts/calorie_tracker.py weight-history Weight is in pounds (decimals allowed: 175.5).
Viewing History
# Last 7 days python scripts/calorie_tracker.py history # Last 30 days python scripts/calorie_tracker.py history 30
Deleting Entries
# List entries to get ID python scripts/calorie_tracker.py list # Delete by ID python scripts/calorie_tracker.py delete 42
Database
SQLite database: calorie_data.db
Tables
entries - Food log id (INTEGER) - Auto-increment date (TEXT) - YYYY-MM-DD food_name (TEXT) calories (INTEGER) protein (INTEGER) created_at (TIMESTAMP) - Automatic daily_goal - Single calorie target id (INTEGER) - Always 1 calorie_goal (INTEGER) weight_log - Weight tracking id (INTEGER) - Auto-increment date (TEXT) - YYYY-MM-DD weight_lbs (REAL) - Pounds with decimals created_at (TIMESTAMP) - Automatic
Agent Instructions
Important: The skill is located at workspace/calorie-counter/ in your agent's workspace. All commands should use this path prefix.
When user mentions food:
Extract food name, calories, and protein (estimate if not provided) Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py add "food" CALORIES PROTEIN The command outputs immediate totals (no need to run summary separately) Example: User: "I had a chicken breast for lunch, about 165 calories" Estimate protein (chicken is ~30g per 165 cal) Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py add "chicken breast" 165 30
When user wants remaining calories:
Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py summary
When user sets a goal:
Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py goal CALORIES
When user logs weight:
Convert to pounds if needed (1 kg ≈ 2.205 lbs) Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py weight POUNDS
When user wants to delete entry:
Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py list to show IDs Run: python3 workspace/calorie-counter/scripts/calorie_tracker.py delete ID
Protein Estimation Guide
If user doesn't specify protein, estimate based on food type: Lean meats (chicken, turkey): ~0.30g per calorie Fish: ~0.25g per calorie Red meat: ~0.20g per calorie Eggs: ~0.12g per calorie (1 egg = 70 cal, 6g protein) Greek yogurt: ~0.10g per calorie Nuts: ~0.04g per calorie Bread/pasta: ~0.03g per calorie Fruits: ~0.01g per calorie or less Vegetables: ~0.02-0.04g per calorie When uncertain, estimate conservatively or ask the user.
Notes
Calories and protein are integers (no decimals) Weight is in pounds (decimals allowed) Database created automatically on first use All times in local timezone Dates in YYYY-MM-DD format Time shown in lists is from created_at timestamp (HH:MM format)
Example Session
# Set goal $ python scripts/calorie_tracker.py goal 2000 ✓ Set daily goal: 2000 cal # Add breakfast $ python scripts/calorie_tracker.py add "oatmeal" 150 5 ✓ Added: oatmeal (150 cal, 5g protein) Entry ID: 1 Today: 150 / 2000 cal (remaining: 1850) | Protein today: 5g | Entries: 1 # Add lunch $ python scripts/calorie_tracker.py add "grilled chicken salad" 350 45 ✓ Added: grilled chicken salad (350 cal, 45g protein) Entry ID: 2 Today: 500 / 2000 cal (remaining: 1500) | Protein today: 50g | Entries: 2 # Check summary $ python scripts/calorie_tracker.py summary ============================================================ DAILY SUMMARY - 2026-02-05 ============================================================ Entries: 2 Total consumed: 500 cal | 50g protein Daily goal: 2000 cal Remaining: 1500 cal 25.0% of goal consumed ============================================================ # Log weight $ python scripts/calorie_tracker.py weight 175.5 ✓ Logged weight: 175.5 lbs
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts1 Config
- SKILL.md
- QUICK_START.md
- README.md
- scripts/calorie_tracker.py
- _meta.json