Version updated for https://github.com/czl9707/gh-space-shooter to version v1.0.0. This action is used across all versions by 7 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary The gh-space-shooter GitHub Action transforms your GitHub contribution graph into an animated space shooter game GIF, automatically updating it daily. It automates the generation of visually engaging graphics that gamify contribution data, showcasing your GitHub activity in a unique and interactive way.

Version updated for https://github.com/czl9707/gh-space-shooter to version v0.0.5. This action is used across all versions by 7 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary The gh-space-shooter GitHub Action transforms your GitHub contribution graph into an animated space shooter game, visualizing your coding history as enemies in a Galaga-style battle. It automates the generation and daily update of a game GIF, allowing users to showcase dynamic, visually engaging representations of their contributions.

Version updated for https://github.com/czl9707/gh-space-shooter to version v0.0.4. This action is used across all versions by 6 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action, gh-space-shooter, transforms a user’s GitHub contribution graph into an animated space shooter game represented as a GIF. It automates the daily generation and updating of the game GIF, allowing users to visualize their coding activity in a fun and interactive way.

Version updated for https://github.com/czl9707/gh-space-shooter to version v1. This action is used across all versions by ? repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary The gh-space-shooter GitHub Action transforms a user’s GitHub contribution graph into an animated space shooter game represented as a GIF. It automates the daily generation and update of this GIF, showcasing a gamified visualization of coding activity with enemy attack patterns based on contribution data.