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Tencent SkillHub · AI

OpenCal

Log meals, check nutrition progress, and manage calorie goals in the OpenCal app — hands-free via your AI agent. Use when the user mentions eating, food, cal...

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Log meals, check nutrition progress, and manage calorie goals in the OpenCal app — hands-free via your AI agent. Use when the user mentions eating, food, cal...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

OpenCal

OpenCal is a calorie & nutrition tracker with a beautiful iOS app. This skill lets your AI agent log meals, check progress, and update goals — so the user never has to open the app to track what they eat. "I just had a burrito for lunch" → agent searches, scales, logs it → it shows up in the app instantly.

Setup

Download OpenCal from the App Store Sign in and set your calorie/macro goals Go to Profile → API Keys → Generate Set the key: export OPENCAL_API_KEY="sk_your-key-here"

When to use this skill

User saysWhat to do"I had a chicken sandwich for lunch"Search food → scale nutrition → log it"What did I eat today?"Fetch today's log and summarize"How much protein do I have left?"Fetch log totals and compare to goals"I want to cut to 1800 calories"Update their calorie goal"That last entry was wrong, remove it"Delete the log entry"What's in a banana?"Search and show nutrition info (don't log)

Log a meal

The most common flow. User says something like "I had 200g chicken breast for lunch": 1. Search for the food: curl -s "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/food/search?q=chicken+breast&limit=5" \ -H "Authorization: Bearer $OPENCAL_API_KEY" | jq '.results[] | {name, calories, protein, carbs, fat}' Results are per 100g. Pick the best match. 2. Scale to the actual amount and log: curl -s -X POST "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/food/log" \ -H "Authorization: Bearer $OPENCAL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "name": "Chicken Breast", "amount": 200, "unit": "g", "calories": 330, "protein": 62, "carbs": 0, "fat": 7.2, "mealType": "lunch" }' Multiply all nutrition values by amount / 100. The entry appears in the app immediately. Use mealType: breakfast, lunch, dinner, or snack. Add "loggedAt": "2026-02-18T12:00:00Z" to backfill a past meal (defaults to now). 3. Confirm with the user: "Logged 200g chicken breast for lunch — 330 kcal, 62g protein."

Check daily progress

curl -s "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/food/log?date=2026-02-18" \ -H "Authorization: Bearer $OPENCAL_API_KEY" | jq '{totals, entries: [.entries[] | {name, calories, mealType}]}' Omit ?date= for today. Returns each entry plus totals (calories, protein, carbs, fat).

Check and update goals

# Current goals curl -s "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/goals" \ -H "Authorization: Bearer $OPENCAL_API_KEY" | jq # Update (only include fields to change) curl -s -X PUT "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/goals" \ -H "Authorization: Bearer $OPENCAL_API_KEY" \ -H "Content-Type: application/json" \ -d '{"calorieGoal": 1800, "proteinGrams": 160}'

Delete a log entry

Get the entry ID from the daily log, then: curl -s -X DELETE "${OPENCAL_BASE_URL:-https://api.opencal.ai}/api/v1/food/log/{id}" \ -H "Authorization: Bearer $OPENCAL_API_KEY"

Important notes

Search results are per 100g — always scale before logging If the user doesn't mention an amount, ask — don't guess If search returns nothing, try shorter/simpler terms (e.g. "rice" instead of "steamed jasmine rice") Always confirm what you logged so the user can correct mistakes Rate limit: 100 requests/min

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
1 Docs
  • SKILL.md Primary doc