Official agent skill

Maintain Optimizer

by NVIDIA in NVIDIA/NeMo-Relay

Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer.

OfficialApache-2.0Auto-check passed

Install Maintain Optimizer

skills CLI
$ npx skills add NVIDIA/NeMo-Relay --skill maintain-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/NeMo-Relay maintain-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/NeMo-Relay.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/maintain-optimizer .claude/skills/maintain-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
maintain-optimizer
GitHub stars
190
Token cost
~528 tokens
SKILL.md length
189 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer.

  • The task calls this surface optimizer
  • SKILL.md covers Public Boundary, Keep In Sync, Checklist and Validation, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Generic plugin changes

What it does

Maintain Optimizer is an agent skill from NVIDIA/NeMo-Relay, published by the product's own GitHub organization. Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer. Do not use for generic plugin changes.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Python. The repository describes itself as: Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls. The licence is Apache-2.0.

When your agent uses it

  • The task calls this surface optimizer
  • Generic plugin changes

Example prompts

  • “/maintain-optimizer”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 651453f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Maintain Optimizer loads about 528 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 189 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~528

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/NeMo-Relay at commit 651453f, republished under its Apache-2.0 licence (© NVIDIA). 189 words, ~528 tokens.

Download SKILL.mdSave it as .claude/skills/maintain-optimizer/SKILL.md (or your agent's skills folder).
name
maintain-optimizer
description
Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer. Do not use for generic plugin changes.
license
Apache-2.0

Maintain Adaptive Surfaces

Use this skill when changing adaptive config schema, built-in sections, shared plugin lifecycle, plugin registration, or binding-native helper APIs.

Public Boundary

The stable adaptive boundary is the config document plus the shared plugin lifecycle:

  • Config types and policies
  • Built-in adaptive section helpers
  • Plugin registration and composition
  • Plugin lifecycle
  • Reports and diagnostics

There is no separate public adaptive runtime handle.

See docs/configure-plugins/adaptive/configuration.mdx and docs/configure-plugins/about.mdx.

Keep In Sync

  • crates/adaptive
  • Shared plugin behavior in core and bindings
  • Python adaptive/plugin wrappers in python/nemo_relay/adaptive.py and python/nemo_relay/plugin.py
  • Go adaptive helpers under go/nemo_relay/adaptive plus shared plugin helpers in go/nemo_relay
  • Node.js adaptive helpers and plugin wrappers
  • Docs and examples that show canonical config shapes

Checklist

  • Dynamic config shape still matches the documented canonical model
  • Typed helper constructors still map cleanly to the same config document
  • Plugin lifecycle is consistent across languages
  • Plugin context surfaces remain aligned
  • Validation/report behavior remains documented and tested
  • Any new component kind has docs, examples, and binding coverage

Validation

  • Run adaptive-focused Rust tests
  • Run binding tests for every changed adaptive or plugin surface
  • Update adaptive docs and any examples in the same branch

References

  • docs/configure-plugins/adaptive/configuration.mdx
  • docs/configure-plugins/adaptive/about.mdx
  • docs/configure-plugins/adaptive/acg.mdx
  • docs/configure-plugins/adaptive/adaptive-hints.mdx
  • docs/build-plugins/about.mdx
  • docs/build-plugins/configuration-and-validation.mdx

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/maintain-optimizer of NVIDIA/NeMo-Relay.

Open the folder on GitHubat commit 651453f

Compare with similar skills

Maintain Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Maintain Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maintain Optimizer this skillNVIDIA/NeMo-Relay190—~528Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k13 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Maintain Optimizer

What does Maintain Optimizer do?

Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer. Maintain Optimizer is an agent skill from NVIDIA/NeMo-Relay, published by the product's own GitHub organization. Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer.

When should I use Maintain Optimizer?

Maintain Optimizer fits situations like: the task calls this surface optimizer; generic plugin changes.

How do I install Maintain Optimizer in Claude Code?

Run `npx skills add NVIDIA/NeMo-Relay --skill maintain-optimizer -a claude-code`. Or copy the skill folder (.agents/skills/maintain-optimizer in NVIDIA/NeMo-Relay) into .claude/skills/maintain-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Maintain Optimizer in Codex?

Run `npx skills add NVIDIA/NeMo-Relay --skill maintain-optimizer -a codex`. Or copy the skill folder (.agents/skills/maintain-optimizer in NVIDIA/NeMo-Relay) into .agents/skills/maintain-optimizer in your project. Codex loads it when a task matches its description.

Can I use Maintain Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/NeMo-Relay --skill maintain-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/maintain-optimizer, .gemini/skills/maintain-optimizer, .github/skills/maintain-optimizer and .opencode/skills/maintain-optimizer in your project.

What does Maintain Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Maintain Optimizer is instructions for the agent only. Our summary lists: Python 3; Node.js.

Does Maintain Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Maintain Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Maintain Optimizer use?

Maintain Optimizer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Maintain Optimizer use?

About 528 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Maintain Optimizer?

Skills that share tags, products or a category with Maintain Optimizer: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maintain Optimizer?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/NeMo-Relay, which has 190 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/NeMo-Relay on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.