Notebooks

STRONG · 80
Community indexed

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Downloads0
Stars9.5K
Version1.0.0
Quality100/100 · Excellent
Trust80/100 · Review then install
Audit91/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

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 roboflow/notebooks

Maintenance

active

2mo since push

Risk

Safe to try

License is unclear

GitHub quality

9.5K

100/100 quality · 88/100 trust

Coverage tags

DesignMultimodal mediaml-automationmachine-learningautomation

Review notes

License is unclear · License clarity: Unknown

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

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
80

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
91

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

Jupyter NotebookMachine LearningCodexClaude CodeCursor

Stars

9.5K GitHub stars

Repo activity

9.5K stars, 1.5K forks

Maintenance

2mo since push

License

Unknown

Install

npx skills add roboflow/notebooks

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

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.

Open JSON

Suited tasks

  • Multimodal media workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read media metadata

Suited agents

Jupyter NotebookMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add roboflow/notebooks
Policy
review
Human review
yes

Trust and risk

Trust
80/100
Audit
91/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add roboflow/notebooks

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • License is unclear
  • License clarity: Unknown

Agent safety v2

75/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

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.

  • License is unclear

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add roboflow/notebooks

Agent 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.

Open text plan

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 Notebooks in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Notebooks%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/roboflow-notebooks/install
Install command: npx skills add roboflow/notebooks
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.

Open install API

Agent prompt

Use Notebooks for this task. Review https://www.openagentskill.com/api/skills/roboflow-notebooks/install, then install with: npx skills add roboflow/notebooks

Registry 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.

Open manifest

Agent fit

100/100

Multimodal media

Platforms

Jupyter Notebook, Machine Learning, Claude Code

Audit report

Safe to try · 91/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

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.

100
Readiness
Adopt
Stage

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

  • 9,462 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 46 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Multimodal media task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

80
Trust score

GitHub adoption

PASS

9.5K GitHub stars

Stars/forks activity

PASS

9.5K stars, 1.5K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

CHECK

Unknown

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
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
9.5K
Freshness
2mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

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

jupyter-notebookFULL
machine-learningFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/13/2026
Published
6/13/2026

Frameworks & Tools

Jupyter NotebookMachine Learning

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

9,462 GitHub stars

Audit snapshot

Install review

Install and adoption review

91
Safe to try
Security
82/100
Maintenance
88/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Notebooks, ready for a manual X post.

Curator note
A good workflow skill turns repeated manual steps into something an agent can safely replay.

Notebooks helps agents move a repeatable workflow out of manual copy-paste.

9.5K stars

https://www.openagentskill.com/skills/roboflow-notebooks?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Notebooks:
https://www.openagentskill.com/skills/roboflow-notebooks?ref=x

Install: npx skills add roboflow/notebooks

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
roboflow
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 skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to roboflow 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.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/roboflow-notebooks?metric=listed&label=Listed)](https://www.openagentskill.com/skills/roboflow-notebooks)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/roboflow-notebooks?metric=trust&label=Trust)](https://www.openagentskill.com/skills/roboflow-notebooks)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/roboflow-notebooks?metric=audit&label=Audit)](https://www.openagentskill.com/skills/roboflow-notebooks/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/roboflow-notebooks?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/roboflow-notebooks)

Author

R

roboflow

@roboflow

Platform Fit

Health Signals

GitHub stars
9.5K
Quality score
70/100
Last GitHub push
May 21, 2026
Framework hints
2
OpenAgentSkill views
4
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

Review then install

80
  • GitHub adoption9.5K GitHub starsPASS
  • Stars/forks activity9.5K stars, 1.5K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2mo since pushPASS
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS