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7 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)

Language: Shell
Tag: CMS and websites
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1.Ryze-AI-Adgent / open-seo-mcp-skills

Free SEO MCP server + open-source SEO and GEO skills for Claude: keyword research, rank tracking, audits, backlinks, AI visibility on your real GSC/GA4/ads data. claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp

ai-seo
backlinks
claude
claude-skills
dataforseo
generative-engine-optimization
+14 more

Shell MIT8.7K total391 forks

+5,266 stars

from 3,285 · score 8.57

2.markshust / docker-magento

Mark Shust's Docker Configuration for Magento

magento
magento2
magento-2
docker-magento
docker
docker-compose
+1 more

Shell MIT2.9K total1.1K forks

+5 stars

from 2,860 · score 1.79

3.wardenenv / warden

Warden is a CLI utility for orchestrating Docker based developer environments

warden
docker
cli-utility
linux
macos
magento
+2 more

Shell MIT476 total180 forks

+4 stars

from 472 · score 1.61

4.docksal / docksal

Unified, Docker 🐳 powered web development environments for macOS, Windows, and Linux

docker
devops
drupal
wordpress
lamp
magento
+5 more

Shell MIT721 total173 forks

+2 stars

from 719 · score 1.10

5.GrimLink / mage

Simplifies bin/magento commands by adding helpful shortcuts and time-saving tools to enhance your productivity.

magento2
bash-script
warden
magerun2
hyva
cachemanager
+5 more

Shell MIT27 total7 forks

+2 stars

from 25 · score 1.10

6.Varying-Vagrant-Vagrants / VVV

An open source Vagrant configuration for developing with WordPress

vvv
wordpress
vagrant
varying-vagrant-vagrants

Shell MIT4.5K total820 forks

+1 stars

from 4,524 · score 0.69

7.hyva-themes / hyva-ai-tools

AI-powered skills for Magento 2 development with Hyva Theme. These skills extend AI coding assistants with specialized knowledge for creating Hyva themes, modules, and CMS components.

Shell OSL-3.085 total16 forks

+1 stars

from 84 · score 0.69

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it; see Tags.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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