← All skills
Tencent SkillHub · AI

Kefir Batch Manager

Comprehensive kéfir batch management system with cycle tracking, intelligent reminders, grain health monitoring, and recipe management. Use when managing kéf...

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Comprehensive kéfir batch management system with cycle tracking, intelligent reminders, grain health monitoring, and recipe management. Use when managing kéf...

⬇ 0 downloads ★ 0 stars Unverified but indexed

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, assets/batch_template.json, kefir_batches.json, references/recipes_database.md, references/troubleshooting.md, scripts/batch_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.

  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 16 sections Open source page

Kéfir Batch Manager

Complete management system for kéfir de fruits fermentation cycles, grain maintenance, and production tracking.

When to Use

Starting new fermentation batches Tracking active fermentation cycles Managing grain health and stock Calculating ingredient ratios Setting intelligent reminders based on temperature/season Recording tasting notes and batch quality Planning production schedules Troubleshooting fermentation issues

1. Batch Cycle Management

  • Start New Batch:
  • Record start time, ingredients, ratios
  • Calculate optimal fermentation duration based on temperature
  • Set adaptive reminders (faster in summer, slower in winter)
  • Photo documentation (before fermentation)
  • Track Active Batches:
  • Monitor fermentation progress
  • Adjust timing based on environmental conditions
  • Log observations and changes
  • Alert when ready for tasting/bottling
  • Complete Batch:
  • Record end time and actual duration
  • Document results, taste notes, quality rating
  • Calculate yield and efficiency
  • Photo documentation (final product)

2. Intelligent Reminders

Temperature-adaptive scheduling: Summer (>25°C): 18-24 hours first fermentation Spring/Autumn (20-25°C): 24-36 hours Winter (<20°C): 36-48 hours Maintenance reminders: Weekly: Check active batches Monthly: Refresh mother grains Seasonal: Deep clean equipment

3. Grain Management

  • Health Monitoring:
  • Visual inspection checklist
  • Color, firmness, multiplication rate tracking
  • Problem diagnosis (mold, softness, inactivity)
  • Stock management (mother + active portions)
  • Stock Tracking:
  • Mother grain reserve (typically 200g)
  • Active batch portions
  • Grain multiplication calculations
  • Sharing/backup planning

4. Recipe Database

Base Recipes: Classic water kéfir (sugar ratios) Fruit variations (seasonal recommendations) Milk kéfir adaptations Flavoring combinations (spices, herbs) Personalization: Save favorite recipes Seasonal ingredient optimization Success rate tracking per recipe Custom ratio calculations

5. Production Dashboard

Calendar View: Batch timeline visualization Optimal start dates planning Holiday/vacation scheduling Production frequency analysis Statistics: Success rates by season/temperature Favorite recipes and variations Grain multiplication trends Production consistency metrics

Daily Check-in

1. Review active batches status 2. Check temperature for timing adjustments 3. Update fermentation progress notes 4. Set next reminder if needed

Weekly Planning

1. Plan new batches based on consumption 2. Check grain health and stock levels 3. Review upcoming events/travel 4. Adjust production schedule

Monthly Maintenance

1. Refresh mother grain batch 2. Deep clean all equipment 3. Review month's production statistics 4. Plan seasonal recipe transitions

Paris Water Considerations

Chlorine removal techniques (24h standing, filtration) Mineral content impacts on fermentation Seasonal water quality variations

Double Fermentation Technique

Primary: 24-48h depending on temperature Secondary: 12-24h in bottle for carbonation Timing optimization for best results

Troubleshooting Guide

See troubleshooting.md for complete diagnostic guide.

Implementation Scripts

batch_tracker.py: Core batch lifecycle management ratio_calculator.py: Ingredient calculations reminder_scheduler.py: Intelligent timing alerts grain_health.py: Health monitoring and diagnostics

Templates and Assets

batch_template.json: Standard batch record format grain_health_guide.png: Visual health assessment guide recipe_templates/: Collection of proven recipes

Getting Started

Initialize your setup: Document current grain stock and equipment Start tracking: Begin with your next batch using the batch tracker Set preferences: Configure your temperature zone and timing preferences Build history: Record several batches to establish baselines The skill learns from your specific environment and preferences to provide increasingly accurate timing and recommendations.

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
3 Docs2 Config1 Scripts
  • SKILL.md Primary doc
  • references/recipes_database.md Docs
  • references/troubleshooting.md Docs
  • scripts/batch_tracker.py Scripts
  • assets/batch_template.json Config
  • kefir_batches.json Config