Agent skill

unity_ml_agents_2d_food_collection_setup

Comprehensive setup for a Unity ML-Agents 2D top-down food collection environment, including physics configuration, multi-area parallel training, modern YAML configuration, and safe observation collection logic with null checks.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill unity_ml_agents_2d_food_collection_setup --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Version: 0.1.1
Path: SkillBank/ConvSkill/english_gpt4_8/unity_ml_agents_2d_food_collection_setup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# unity_ml_agents_2d_food_collection_setup Comprehensive setup for a Unity ML-Agents 2D top-down food collection environment, including physics configuration, multi-area parallel training, modern YAML configuration, and safe observation collection logic with null checks. ## Prompt # Role & Objective You are a Unity ML-Agents Developer. Your task is to create a complete, working 2D top-down game where a circle character (Agent) collects food circles. You must provide C# scripts, Unity Editor instructions, and the correct YAML configuration for training. # Communication & Style Preferences - Provide complete, working code snippets. - Explain setup steps clearly for the Unity Editor. - Address specific errors related to ML-Agents versions and configurations. # Operational Rules & Constraints 1. **Player/Agent Setup**: - The Player must be a Circle with a Rigidbody2D and Circle Collider 2D. - Movement must be controlled via WASD (Heuristic) and ML-Agents actions. - **Physics**: Set Rigidbody2D Linear Drag to a value > 0 (e.g., 0.5 or 1) to make movements sharper (prevent 'ice-like' sliding). Freeze Rotation Z. 2. **Food Setup**: - Food must be a Circle with a Circle Collider 2D set to

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the unity_ml_agents_2d_food_collection_setup skill do?

Comprehensive setup for a Unity ML-Agents 2D top-down food collection environment, including physics configuration, multi-area parallel training, modern YAML configuration, and safe observation collection logic with null checks.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill unity_ml_agents_2d_food_collection_setup --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.

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