Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Handson Ml is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Handson Ml

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Handson Ml

Best first install candidate based on install readiness and adoption.

Freshest repo

Vision

Most recent maintenance signal among this shortlist.

SignalTrimap Generator

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Handson Ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Notebooks

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.

Vision

Datasets, Transforms and Models specific to Computer Vision

Quality
49/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
39/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption208 stars
0 installs
26K stars
0 installs
9.5K stars
0 installs
18K stars
0 installs
FreshnessOct 14, 2021May 19, 2026May 21, 2026Jun 15, 2026
Use-case fit
Stack fit
Platform hintsJupyter Notebook, Computer Vision, Claude CodeJupyter Notebook, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add lnugraha/trimap_generator
$ npx skills add ageron/handson-ml
$ npx skills add roboflow/notebooks
$ npx skills add pytorch/vision