NeMo Agent Toolkit Optimization
SkillDatabases & dataGuides your agent through tuning and improving NeMo Agent Toolkit workflows with the nat optimize command.
Then ask your AI: use the NeMo Agent Toolkit Optimization skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this skill
Use when configuring or running NeMo Agent Toolkit optimization with `nat optimize`, including Optuna parameter tuning, prompt evolution, optimizer sizing, output interpretation, and optimizer datasets.
What this skill tells your AI
The instructions your AI receives, as published by nvidia/nemo-agent-toolkit in skills/nat-optimization/SKILL.md and read by Ahel’s review.
Use this skill when improving workflow quality through nat optimize.
Workflow
- Fix workflow correctness issues before optimizing.
- Size the run and explain the chosen
n_trials, parallelism, and stopping behavior. - Use separate evaluators for separate quality dimensions.
- Run
nat optimizewith a generous timeout. - Inspect output artifacts before writing tuned values back to workflow YAML.
Guardrail
Do not kill nat optimize mid-run unless the user asks. It writes final artifacts when the study finishes cleanly.
References
references/overview.mdreferences/choosing-parameters.mdreferences/configuration.mdreferences/output-and-cli.mdreferences/complete-config-example.mdreferences/optimizer_example_dataset.json
Signals
- GitHub stars
- 3k
- Forks
- 780
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
nat-optimization- Source
- github.com/nvidia/nemo-agent-toolkit
github.com/nvidia/nemo-agent-toolkit
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