mcpField
R
reinforcement-learning

reinforcement-learning

github.com/omer-metinDevelopment183182 installsUpdated 40w ago
Repository

About reinforcement-learning

A skill for reinforcement learning. Its README only instructs users to rely on supplied pattern, risk, and validation references for creation, diagnosis, and review; it lists no specific capabilities.

Key features

  1. 01Creation guided by pattern references
  2. 02Diagnosis informed by risk references
  3. 03Review against validation references

Use cases

  1. 01Planning implementations with pattern references
  2. 02Investigating issues using risk references
  3. 03Checking plans against validation references

Install

Copy the command and run it in a terminal.

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

After installing, type/reinforcement-learningin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
patterns.md
sharp_edges.md
validations.md

Details

From the project README

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.

Comments

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