Agent skill

Ultralytics Platform

by fcakyon in fcakyon/claude-codex-settings

This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search…

Apache-2.0Auto-check passed

Install Ultralytics Platform

skills CLI
$ npx skills add fcakyon/claude-codex-settings --skill ultralytics-platform -a claude-code

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

GitHub CLI
$ gh skill install fcakyon/claude-codex-settings ultralytics-platform --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/fcakyon/claude-codex-settings.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ultralytics-dev/skills/ultralytics-platform .claude/skills/ultralytics-platform && 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
ultralytics-platform
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
515 words
Files
2 (incl. references)
Skills in repo
43
Repo updated
First seen
Licence
Apache-2.0

At a glance

This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search…

  • Asks to upload my model to Ultralytics Platform
  • SKILL.md covers Read the live contract, Choose the interface, Invariants and Cost and destructive actions
  • Calls uv; reaches platform.ultralytics.com; needs ULTRALYTICS_API_KEY
  • Push this run to the platform

What it does

Ultralytics Platform is an agent skill from fcakyon/claude-codex-settings. This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search platform datasets", "start cloud training", "train on platform GPUs", "export a model on platform", "deploy a model endpoint", "run Moondream on Platform", "auto-annotate a Platform dataset", "run hosted AI inference", "why is my run not showing on platform", or mentions platform.ultralytics.com, ul:// URIs…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/recipes.md`).

The repository describes itself as: Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM API support. The licence is Apache-2.0.

When your agent uses it

  • Asks to upload my model to Ultralytics Platform
  • Push this run to the platform
  • Upload a dataset to platform
  • Download a dataset from platform

Example prompts

  • “upload my model to Ultralytics Platform”
  • “push this run to the platform”
  • “upload a dataset to platform”
  • “/ultralytics-platform”

Requirements

  • Python 3
  • A credential in ULTRALYTICS_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 7a519d8. 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:

    • uv

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • platform.ultralytics.com

    Also links to:

    • github.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ULTRALYTICS_API_KEY

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

Context cost

Ultralytics Platform loads about 1.3k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 143 tokens; SKILL.md has 515 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~143
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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 fcakyon/claude-codex-settings at commit 7a519d8, republished under its Apache-2.0 licence (© fcakyon). 515 words, ~1,294 tokens.

Download SKILL.mdSave it as .claude/skills/ultralytics-platform/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ultralytics-platform
description
This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search platform datasets", "start cloud training", "train on platform GPUs", "export a model on platform", "deploy a model endpoint", "run Moondream on Platform", "auto-annotate a Platform dataset", "run hosted AI inference", "why is my run not showing on platform", or mentions platform.ultralytics.com, ul:// URIs, ultralytics-platform, or ULTRALYTICS_API_KEY.

Ultralytics Platform

Use ultralytics for local YOLO training and inference. Use the generated ultralytics-platform Python SDK for Platform resources, hosted inference, and AI annotation. It handles authentication, typed responses, retries, and errors.

Read the live contract

Before API work, check the generated API reference or GET https://platform.ultralytics.com/openapi.json. Treat the live OpenAPI document as authoritative when examples disagree. These recipes were checked against API and SDK v0.1.62 on 2026-09-24. Check the SDK source for generated method signatures.

bash
uv pip install -U "ultralytics-platform>=0.1.62"
export ULTRALYTICS_API_KEY=ul_... # Settings > API Keys

Platform() reads ULTRALYTICS_API_KEY. The ultralytics package also reads the key saved by yolo login. Never print or commit a key.

Choose the interface

GoalInterface
Track a run that has not startedultralytics training callback
Train with a Platform dataset or modelultralytics with a ul:// URI
Manage datasets, models, training, exports, or deploymentsultralytics-platform SDK
Predict with model weights or a dedicated endpointclient.models.predict / client.deployments.predict
Preview Moondream or other AI labels on a stored imageclient.images.predict
Save AI labels across a datasetclient.datasets.create_batch
Use another language or inspect a new fieldLive OpenAPI
Live training and ul:// URIs

Pass an owner-qualified project to stream a run:

python
from ultralytics import YOLO

YOLO("yolo26n.pt").train(data="coco8.yaml", epochs=100, project="owner/project", name="run1")

project= is required. Without it, the callback exits before creating a Platform run. Use the owner prefix for a team workspace.

python
YOLO("ul://owner/project/model").train(data="ul://owner/datasets/dataset", epochs=100)
SDK

Use a context manager and owner/name paths. Keep returned IDs for operations that require them, including image operations, upload assetId, training modelId, and export IDs.

Responses have resource-specific shapes, not a generic envelope. Create calls return id, owner, and the URL name at the top level. Detail calls wrap the resource under its type, such as dataset. A rename changes the URL name, so use the name returned by the update response.

Read references/recipes.md for live-run diagnosis, finished-run upload, dataset upload, hosted inference, Moondream and other AI annotation, and billable jobs.

Show full SKILL.md (219 more words)Show less

Invariants

  • Confirm the target workspace with client.account.summary() and read the exact resource before a mutation. Team work requires an API key created in that workspace.
  • Upload with a signed URL and PUT using the returned headers. Dataset ingest now verifies and completes the upload itself, so upload.complete is optional for datasets. Models still require it.
  • Dataset ingest accepts one source: sessionId, sourceUrl, or a connected-storage reference. Set targetSplit when every incoming image must enter one split.
  • Top-level model metrics accepts only the contract's named summary metrics. Per-epoch trainResults[].metrics accepts numeric metric names from results.csv.
  • Hosted AI annotation uses a stored image ID and dataset class names. It is not a free-form chat or caption API. Single-image predictions are unsaved, while batch annotation writes labels.
  • On 429, wait for Retry-After before retrying. Do not invent fixed sleeps.

Cost and destructive actions

Cloud training, model exports, deployments, and batch image processing can spend credits. Confirm the requested scope and cost before an unapproved billable launch. Do not ask again when the user has already authorized it. Check client.billing.usage_summary() for current usage and plan limits. Training returns cost estimates, but not every create response includes a price.

Get approval for deletes outside the user's authorized scope. Project, dataset, and model deletes move resources to 30-day trash. Image deletion and client.lifecycle.delete_trash are permanent.

© fcakyon, 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

SKILL.md and 1 other file (references) in plugins/ultralytics-dev/skills/ultralytics-platform of fcakyon/claude-codex-settings.

  • SKILL.md
  • references/recipes.md

Open the folder on GitHubat commit 7a519d8

Compare with similar skills

Ultralytics Platform 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ultralytics Platform this skillfcakyon/claude-codex-settings1.2k—~1.3kAutomated safety check: PassApache-2.0
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File Upload Accessibilitythedaviddias/Front-End-Checklist74k—~418Automated safety check: PassMIT
Upload R2remotion-dev/remotion62k—~535Automated safety check: NotesCustom licence
Hunt File Uploadsickn33/agentic-awesome-skills47k1 repos~2.4kAutomated safety check: PassMIT
Upload Element Previewsremotion-dev/remotion62k—~265Automated safety check: PassCustom licence

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Questions about Ultralytics Platform

What does Ultralytics Platform do?

This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search…. Ultralytics Platform is an agent skill from fcakyon/claude-codex-settings.

When should I use Ultralytics Platform?

Ultralytics Platform fits situations like: asks to upload my model to Ultralytics Platform; push this run to the platform; upload a dataset to platform; download a dataset from platform.

How do I install Ultralytics Platform in Claude Code?

Run `npx skills add fcakyon/claude-codex-settings --skill ultralytics-platform -a claude-code`. Or copy the skill folder (plugins/ultralytics-dev/skills/ultralytics-platform in fcakyon/claude-codex-settings) into .claude/skills/ultralytics-platform in your project. Claude Code loads it when a task matches its description.

How do I install Ultralytics Platform in Codex?

Run `npx skills add fcakyon/claude-codex-settings --skill ultralytics-platform -a codex`. Or copy the skill folder (plugins/ultralytics-dev/skills/ultralytics-platform in fcakyon/claude-codex-settings) into .agents/skills/ultralytics-platform in your project. Codex loads it when a task matches its description.

Can I use Ultralytics Platform 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 fcakyon/claude-codex-settings --skill ultralytics-platform -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ultralytics-platform, .gemini/skills/ultralytics-platform, .github/skills/ultralytics-platform and .opencode/skills/ultralytics-platform in your project.

What does Ultralytics Platform need to run?

Going by SKILL.md and its folder, Ultralytics Platform needs the command-line tools its instructions call (uv) and credentials named ULTRALYTICS_API_KEY. Our summary lists: Python 3; A credential in ULTRALYTICS_API_KEY.

Does Ultralytics Platform access the network?

SKILL.md names 2 domains. In commands or code: platform.ultralytics.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.

Is Ultralytics Platform 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 Ultralytics Platform use?

Ultralytics Platform is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ultralytics Platform use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Ultralytics Platform?

Skills that share tags, products or a category with Ultralytics Platform: File Uploads (davila7/claude-code-templates, 32k stars), File Upload Accessibility (thedaviddias/Front-End-Checklist, 74k stars), Upload R2 (remotion-dev/remotion, 62k stars) and Hunt File Upload (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ultralytics Platform?

fcakyon (a GitHub user) maintains it in fcakyon/claude-codex-settings, which has 1,165 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 7, 2026.

Source: fcakyon/claude-codex-settings on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.