Mixtiles Monthly for Openclaw

A specialized pipeline that automatically collects, curates, and converts WhatsApp family photos into ready-to-order Mixtiles cart links.

saharcarmel
v1.0.0
Feb 18, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install mixtiles-monthly

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install mixtiles-monthly using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Mixtiles Monthly?

Mixtiles Monthly is a sophisticated automation workflow designed to transform digital memories into physical decor with zero manual effort. By leveraging the power of Openclaw Skills, this tool scans designated WhatsApp groups for photos, uses AI vision to filter out noise like screenshots or memes, and selects only the highest-quality family moments for printing. It acts as a bridge between chat-based media sharing and ecommerce, ensuring that your monthly photo tiles are curated and ready for purchase on a consistent schedule.

This skill is particularly valuable for families and groups who share high volumes of media but lack the time to manually sort through them for printing. As part of the broader ecosystem of Openclaw Skills, it integrates seamlessly with communication tools and vision models to provide a professional-grade curation service that runs automatically in the background.

Mixtiles Monthly Use Cases

  • Automating the monthly selection of family photos from private WhatsApp groups.
  • Streamlining the creation of physical photo galleries without manual uploading.
  • Using AI vision to intelligently filter out low-quality or redundant images from chat histories.
  • Setting up a recurring AI agent task to handle monthly home decor updates.

How Mixtiles Monthly Works

  1. The pipeline identifies the date range for the previous month and uses wacli to download all shared images from a specific WhatsApp JID.
  2. Each downloaded photo is processed by an AI vision model to evaluate focus, lighting, and subject relevance, specifically looking for people and milestones.
  3. The system selects a configurable number of top photos, ensuring a variety of scenes and avoiding near-duplicates.
  4. The chosen images are passed to the mixtiles-it skill, which handles Cloudinary uploads and generates a multi-photo Mixtiles cart URL.
  5. A notification containing the final checkout link is sent back to the user via WhatsApp for one-click ordering.

Mixtiles Monthly Setup

To deploy this among your Openclaw Skills, you must have python3, jq, and wacli installed on your system. Configure the following environment variables to define the source and target behavior:

export MIXTILES_GROUP_JID="[email protected]"
export MIXTILES_PHOTO_COUNT=4
export MIXTILES_TILE_SIZE="RECTANGLE_12X16"

You will also need to ensure the mixtiles-it skill is present in your workspace to handle the final cart generation logic.

Mixtiles Monthly Data Schema & Taxonomy

The skill manages a local workspace to store and index media before processing. The data organization follows this structure:

Component Details
Storage Path ~/mixtiles-queue/{YEAR-MONTH}/
Image Manifest A JSON file mapping {id, sender, timestamp, filepath}
Selection Logic Filters based on vision analysis metadata (quality, duplicates, content type)
Output A secure, single-use Mixtiles cart URL generated via Cloudinary integration

Mixtiles Monthly Advanced Features

  • Intelligent vision-based curation that distinguishes between life milestones and digital clutter.
  • Customizable photo counts and tile dimensions via environment variables.
  • Seamless cross-skill integration using the mixtiles-it batch processing engine.
  • Robust error handling that provides manual recovery links if delivery scripts fail.

SKILL.md


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Requires
Bins waclijqpython3
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