using-deep-rl
Routes to appropriate deep-RL skills based on problem type and algorithm family
Profile →npx skills add majiayu000/claude-skill-registry --skill using-deep-rl --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.
# Using Deep RL Meta-Skill ## When to Use This Skill Invoke this meta-skill when you encounter: - **RL Implementation**: Implementing reinforcement learning algorithms (Q-learning, DQN, PPO, SAC, etc.) - **Agent Training**: Training agents in environments (games, robotics, control systems) - **Sequential Decision-Making**: Problems requiring learning from trial and error - **Policy Optimization**: Learning policies that maximize cumulative rewards - **RL Debugging**: Debugging training issues, agents not learning, reward problems This is the **entry point** for the deep-rl pack. It routes to 13 specialized skills based on problem characteristics. ## How to Access Reference Sheets **IMPORTANT**: All reference sheets are located in the SAME DIRECTORY as this SKILL.md file. When this skill is loaded from: `skills/using-deep-rl/SKILL.md` Reference sheets like `rl-foundations.md` are at: `skills/using-deep-rl/rl-foundations.md` NOT at: `skills/rl-foundations.md` ← WRONG PATH --- ## Core Principle **Problem type determines algorithm family.** The correct approach depends on: 1. **Action Space**: Discrete (button presses) vs Continuous (joint angles) 2. **Data Regime**: Online (interact w
- When to Use This Skill
- How to Access Reference Sheets
- Core Principle
- The 13 Deep RL Skills
- Routing Decision Framework
- Step 1: Assess Experience Level
- Step 2: Classify Action Space
- Step 3: Identify Data Regime
- Step 4: Special Problem Types
- Step 5: Debugging and Infrastructure
- Rationalization Resistance Table
- Red Flags Checklist
- Routing Decision Tree Summary
- Diagnostic Questions
What does the using-deep-rl skill do?
Routes to appropriate deep-RL skills based on problem type and algorithm family
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill using-deep-rl --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 majiayu000/claude-skill-registry, a repository with 534 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.