Ultralytics
Ultralytics YOLO 🚀
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ultralytics/ultralytics
Maintenance
fresh
1d since push
Risk
Safe to try
Documentation summary is thin
GitHub quality
58K
100/100 quality · 92/100 trust
Coverage tags
Review notes
Documentation summary is thin
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Agent install candidate
Shortlist for production use, then run a normal repository and dependency review.
Stars
58K GitHub stars
Repo activity
58K stars, 11K forks
Maintenance
1d since push
License
AGPL-3.0
Install
npx skills add ultralytics/ultralytics
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Docs
Usable metadata, review docs
Risk summary
Low metadata risk
- Documentation summary is thin
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 1d since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Multimodal media workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Read media metadata
- Convert formats
Suited agents
Trust and risk
- Trust score
- 92/100
- Risk level
- Safe to try
- Auto install
- review
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- Documentation summary is thin
Agent safety v2
66/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Documentation summary is thin
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add ultralytics/ultralyticsAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Ultralytics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Ultralytics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ultralytics-ultralytics/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Ultralytics in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Ultralytics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ultralytics-ultralytics/install
Install command: npx skills add ultralytics/ultralytics
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ultralytics-ultralytics/install
LLM text format
/api/skills/ultralytics-ultralytics/install?format=text
Find alternatives
/api/skills/search?q=Ultralytics&limit=3
Agent prompt
Use Ultralytics for this task. Review https://www.openagentskill.com/api/skills/ultralytics-ultralytics/install, then install with: npx skills add ultralytics/ultralyticsRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ultralytics-ultralytics
LLM text
/api/registry/manifest/ultralytics-ultralytics?format=text
Install alias
/api/registry/install/ultralytics-ultralytics
Recommend
/api/registry/recommend?task=Use%20Ultralytics%20in%20an%20agent%20workflow&limit=3
Agent fit
Multimodal media
Use-case tags
Platforms
Python, Machine Learning, Claude Code
Audit report
Safe to try · 94/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Multimodal media
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Multimodal media
Trust label
Production-ready
Install path
Command ready
Use when
- Multimodal media workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 58,466 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Multimodal media task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Production candidate
Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.
GitHub adoption
PASS58K GitHub stars
Stars/forks activity
PASS58K stars, 11K forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSAGPL-3.0
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
Review before install
- Documentation summary is thin
Recommended action
Shortlist for production use, then run a normal repository and dependency review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Tensorflow
An Open Source Machine Learning Framework for Everyone
Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LLMs From Scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Overview
Ultralytics YOLO 🚀
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- AGPL-3.0
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Primary pick
58,466 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 83/100
- Maintenance
- 100/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for Ultralytics, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: Ultralytics Use it when you want an agent to help with creative production instead of only text chat. 58.5K stars - ml-automation Link: https://www.openagentskill.com/skills/ultralytics-ultralytics?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Ultralytics: https://www.openagentskill.com/skills/ultralytics-ultralytics?ref=x Install: npx skills add ultralytics/ultralytics
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- ultralytics
- Source
- ultralytics/ultralytics
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to ultralytics but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/ultralytics-ultralytics)Author
ultralytics✓
@ultralytics
Tags
Platform Fit
Health Signals
- GitHub stars
- 58.5K
- Quality score
- 77/100
- Last GitHub push
- Jun 16, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Production candidate
- GitHub adoption58K GitHub starsPASS
- Stars/forks activity58K stars, 11K forks; issue activity unavailable in current metadataPASS
- Recent maintenance1d since pushPASS
- License clarityAGPL-3.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surfaceINFO
Related Skills
Tensorflow
An Open Source Machine Learning Framework for Everyone
195.7K stars · 0 installsTransformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
161.6K stars · 0 installsPytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
100.8K stars · 0 installsLLMs From Scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
97.3K stars · 0 installs