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Agent skill

Optimize Op Preflight

by CVCUDA in CVCUDA/CV-CUDA

Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md.

Custom licenceAuto-check passedAI & LLM Engineering

Install Optimize Op Preflight

skills CLI
$ npx skills add CVCUDA/CV-CUDA --skill optimize-op-preflight -a claude-code

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

GitHub CLI
$ gh skill install CVCUDA/CV-CUDA optimize-op-preflight --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/CVCUDA/CV-CUDA.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/optimize-op-preflight .claude/skills/optimize-op-preflight && 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
optimize-op-preflight
GitHub stars
2.7k
Token cost
~255 tokens
SKILL.md length
79 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Custom licence

At a glance

Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md.

  • AI & LLM Engineering work in your project
  • Calls python3

What it does

Optimize Op Preflight is an agent skill from CVCUDA/CV-CUDA. Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md. Use before starting an optimization campaign to confirm the readiness gate is clean.

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with CUDA, NVIDIA AI Platform and Python. The repository describes itself as: CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/optimize-op-preflight”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit b051f32. 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

    Shell commands in SKILL.md call:

    • python3

    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

Optimize Op Preflight loads about 255 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 79 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~255

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 79 words (~255 tokens).

“[//]: # "SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved." [//]: # "SPDX-License-Identifier: Apache-2.0"”

— opening of SKILL.md by CVCUDA, Custom licence
name
optimize-op-preflight

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/optimize-op-preflight of CVCUDA/CV-CUDA.

Open the folder on GitHubat commit b051f32

Compare with similar skills

Optimize Op Preflight 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.

Optimize Op Preflight compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Optimize Op Preflight this skillCVCUDA/CV-CUDA2.7k—~255Automated safety check: PassCustom licence
Cutlass SkillslowlyC/agent-gpu-skills169—~1.3kAutomated safety check: PassMIT
Triton SkillslowlyC/agent-gpu-skills169—~1.3kAutomated safety check: PassMIT
Vllm Deploy Simplevllm-project/vllm-skills103—~1.6kAutomated safety check: PassApache-2.0
Hyperpod Version Checkerawslabs/agent-plugins9151 repos~910Automated safety check: PassApache-2.0
Quark Env Preflightamd/Quark181—~1.4kAutomated safety check: PassMIT

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More from CVCUDA/CV-CUDA

All 12 skills in this repo

  • Refactor Op

    CVCUDA/CV-CUDA

    Find and safely apply per-operator refactoring / redundancy-reduction opportunities in a CV-CUDA operator (near-duplicate Tensor/VarShape kernels, reinvented shared utilities, dead code).

    2.7k GitHub stars~1.5k tokensUpdated 21 days ago
    Auto-check passed

  • Optimize Op

    CVCUDA/CV-CUDA

    Drive a single-operator optimization campaign per .agents/guidance/OPTIMIZATIONGUIDELINES.md, with a deterministically enforced definition-of-done and versioned MR summary.

    2.7k GitHub stars~834 tokensUpdated 21 days ago
    Auto-check passed

  • Review Op

    CVCUDA/CV-CUDA

    Review a CV-CUDA operator end-to-end (support / test / bench / docs coverage).

    2.7k GitHub stars~481 tokensUpdated 21 days ago
    Auto-check passed

  • Optimize Op Verify

    CVCUDA/CV-CUDA

    Verify a CV-CUDA optimization campaign's deterministic definition-of-done and concise versioned MR summary per .agents/guidance/OPTIMIZATIONGUIDELINES.md.

    2.7k GitHub stars~424 tokensUpdated 21 days ago
    Auto-check passed

  • Make Op

    CVCUDA/CV-CUDA

    Add a new CV-CUDA operator end-to-end per .agents/guidance/MAKEOPGUIDELINES.md, with a deterministically-enforced definition-of-done.

    2.7k GitHub stars~831 tokensUpdated 21 days ago
    Auto-check passed

  • Make Op Scaffold

    CVCUDA/CV-CUDA

    Scaffold a new CV-CUDA operator — a complete, wired, building skeleton — and delegate the implementation to a human or another AI.

    2.7k GitHub stars~306 tokensUpdated 21 days ago
    Auto-check passed

Works with

Categories

Questions about Optimize Op Preflight

What does Optimize Op Preflight do?

Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md. Optimize Op Preflight is an agent skill from CVCUDA/CV-CUDA.md.

When should I use Optimize Op Preflight?

Optimize Op Preflight fits situations like: AI & LLM Engineering work in your project.

How do I install Optimize Op Preflight in Claude Code?

Run `npx skills add CVCUDA/CV-CUDA --skill optimize-op-preflight -a claude-code`. Or copy the skill folder (.agents/skills/optimize-op-preflight in CVCUDA/CV-CUDA) into .claude/skills/optimize-op-preflight in your project. Claude Code loads it when a task matches its description.

How do I install Optimize Op Preflight in Codex?

Run `npx skills add CVCUDA/CV-CUDA --skill optimize-op-preflight -a codex`. Or copy the skill folder (.agents/skills/optimize-op-preflight in CVCUDA/CV-CUDA) into .agents/skills/optimize-op-preflight in your project. Codex loads it when a task matches its description.

Can I use Optimize Op Preflight 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 CVCUDA/CV-CUDA --skill optimize-op-preflight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/optimize-op-preflight, .gemini/skills/optimize-op-preflight, .github/skills/optimize-op-preflight and .opencode/skills/optimize-op-preflight in your project.

What does Optimize Op Preflight need to run?

Going by SKILL.md and its folder, Optimize Op Preflight needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Optimize Op Preflight 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 Optimize Op Preflight 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 Optimize Op Preflight use?

Optimize Op Preflight has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Optimize Op Preflight use?

About 255 tokens (SKILL.md is roughly 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 Optimize Op Preflight?

Skills that share tags, products or a category with Optimize Op Preflight: Cutlass Skill (slowlyC/agent-gpu-skills, 169 stars), Triton Skill (slowlyC/agent-gpu-skills, 169 stars), Vllm Deploy Simple (vllm-project/vllm-skills, 103 stars) and Hyperpod Version Checker (awslabs/agent-plugins, 915 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Optimize Op Preflight?

CVCUDA (a GitHub organization) maintains it in CVCUDA/CV-CUDA, which has 2,728 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 16, 2026.

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