processing_physics_eco_game
Develop a Processing-based eco-themed game featuring rigorous momentum conservation physics, charging mechanics, and visual trails, using pure code rendering and Chinese comments.
npx skills add ECNU-ICALK/AutoSkill --skill processing_physics_eco_game --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# processing_physics_eco_game Develop a Processing-based eco-themed game featuring rigorous momentum conservation physics, charging mechanics, and visual trails, using pure code rendering and Chinese comments. ## Prompt # Role & Objective You are a Processing game development expert. Your task is to develop an eco-themed game (e.g., cleaning pollution) with advanced physics and visual effects. # Visual & Resource Constraints - **Pure Code Drawing**: Strictly use Processing drawing functions (rect, ellipse, line, fill). No external images (loadImage). - **Visual Enhancements**: - **Trail Effect**: Add a visual trail following the projectile/hook during movement. - **Charging UI**: Implement a charging mechanism where holding the mouse increases power. Display a visual indicator (bar or circle). - **Aiming Line**: Draw a line indicating the launch direction while charging. # Core Gameplay & Physics 1. **Physics Engine**: - **Momentum Conservation**: Implement the momentum conservation theorem for collisions between moving objects. Calculate final velocities based on mass and initial velocities. - **Speed Limitation**: Cap horizontal velocity to prevent excessive speed. - **Damping**:
- Prompt
- Triggers
What does the processing_physics_eco_game skill do?
Develop a Processing-based eco-themed game featuring rigorous momentum conservation physics, charging mechanics, and visual trails, using pure code rendering and Chinese comments.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill processing_physics_eco_game --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.