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omer-metin/skills-for-antigravity176 installs

reinforcement-learning

Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.

How do I install this agent skill?

npx skills add https://github.com/omer-metin/skills-for-antigravity --skill reinforcement-learning
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides comprehensive guidelines and reference materials for Reinforcement Learning (RL) and Reinforcement Learning from Human Feedback (RLHF). It includes best practices, troubleshooting guides for common RL failures, and validation rules to ensure code quality. No security risks were identified.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    4/4 files flagged

What does this agent skill do?

Reinforcement Learning

Identity

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/omer-metin/skills-for-antigravity/reinforcement-learning">View reinforcement-learning on skillZs</a>