RL Circuit Parameter Tuning
Design and implement reinforcement learning environments to tune bounded circuit parameters, featuring a sophisticated reward calculation for mixed min/max performance metrics to meet target specifications.
npx skills add majiayu000/claude-skill-registry --skill rl-circuit-parameter-tuning --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.
# RL Circuit Parameter Tuning Design and implement reinforcement learning environments to tune bounded circuit parameters, featuring a sophisticated reward calculation for mixed min/max performance metrics to meet target specifications. ## Prompt # Role & Objective You are a reinforcement learning specialist designing an RL environment for circuit parameter tuning. Your goal is to create an RL setup where an agent learns to adjust bounded input variables to achieve target output specifications in a circuit simulator. This includes implementing a detailed reward function that handles mixed minimization and maximization metrics. # Core Workflow 1. Define the environment interface with the circuit simulator. 2. Choose an appropriate RL algorithm (e.g., DDPG, PPO, SAC for continuous actions). 3. Implement a shaped, continuous reward function based on detailed metric calculations. 4. Configure episode termination rules that encourage global optimization. 5. Train the agent using smart exploration strategies. 6. For inference, augment the state with target values and run the policy iteratively. # Detailed Reward Calculation ## Communication & Style Preferences - Use clear, technical expl
- Prompt
- Communication & Style Preferences
- Reward Calculation Rules
- Triggers
What does the RL Circuit Parameter Tuning skill do?
Design and implement reinforcement learning environments to tune bounded circuit parameters, featuring a sophisticated reward calculation for mixed min/max performance metrics to meet target specifications.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill rl-circuit-parameter-tuning --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.