SkillsAdd

nvidia/nemo-agent-toolkit · Archived

nat-optimization

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.

First seen Jun 10, 2026

Installation

$ npx skills add nvidia/nemo-agent-toolkit --skill nat-optimization
View on skills.sh ↗ GitHub repository ↗

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Also in this package

Other skills from nvidia/nemo-agent-toolkit · top by installs.

npx skills add nvidia/nemo-agent-toolkit
skill-evolution 4 nat-workflow-creation 4 nat-user-rules 4 nat-tools-and-functions 4 nat-path-checks 4 nat-mcp-and-serving 4 nat-installation 4 nat-evaluation 4 nat-agent-configuration 4 nat-telemetry 3

Browse all from nvidia/nemo-agent-toolkit

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2.6K
License LICENSE-3rd-party.txt
Default branch develop
Open issues 21
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseApache-2.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,122 B
  • docs SUMMARY.md 226 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

NeMo Agent Toolkit Optimization

Use this skill when improving workflow quality through nat optimize.

Workflow

  1. Fix workflow correctness issues before optimizing.
  2. Size the run and explain the chosen n_trials, parallelism, and stopping behavior.
  3. Use separate evaluators for separate quality dimensions.
  4. Run nat optimize with a generous timeout.
  5. 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.md
  • references/choosing-parameters.md
  • references/configuration.md
  • references/output-and-cli.md
  • references/complete-config-example.md
  • references/optimizerexampledataset.json