optim-agent
Guide agent-driven parameter optimization for configurable systems with measurable objectives. Use for HPO, inference tuning, simulations, or RL/control experiments.
Profile →npx skills add sickn33/agentic-awesome-skills --skill optim-agent --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.
# Optim Agent ## Overview Use this skill to optimize configurable systems against a measurable scalar objective. It helps an agent turn vague tuning requests into bounded experiments with a defined search space, budget, baseline, and evidence-backed recommendation. ## When to Use This Skill - Use when tuning hyperparameters, prompts, inference settings, simulation parameters, quantitative strategies, or RL/control policies. - Use when the objective can be measured as a scalar score, loss, accuracy, cost, latency, reward, or risk-adjusted metric. - Use when the user needs a small-budget optimization loop with trial history, comparisons, and stop criteria. ## Do not use this skill when - The objective is purely subjective and cannot be scored consistently. - The user has not provided permission to run experiments or consume compute/API budget. - The task is a one-shot implementation, debugging, or code review request with no configurable search space. ## Instructions 1. Define the optimization target in one sentence: maximize or minimize one scalar metric. 2. List the tunable parameters, valid ranges, types, defaults, and any forbidden combinations. 3. Establish at least one baseline
- Overview
- When to Use This Skill
- Do not use this skill when
- Instructions
- Examples
- Example 1: Hyperparameter optimization
- Example 2: Inference tuning
- Example 3: Simulation or control
- Best Practices
- Limitations
- Additional Resources
What does the optim-agent skill do?
Guide agent-driven parameter optimization for configurable systems with measurable objectives. Use for HPO, inference tuning, simulations, or RL/control experiments.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill optim-agent --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 sickn33/agentic-awesome-skills, a repository with 44,414 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.