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

Datasets is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.

Strongest overall

Datasets

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

Fastest prototype

Datasets

Best first install candidate based on install readiness and adoption.

Freshest repo

Screenpipe

Most recent maintenance signal among this shortlist.

SignalUnitxt

🦄 Unitxt is a Python library for enterprise-grade evaluation of AI performance, offering the world's largest catalog of tools and data for end-to-end AI benchmarking

Datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Great Expectations

Always know what to expect from your data.

Screenpipe

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure

Quality
74/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
73/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption214 stars
Verified outcomes are shown on each skill page
22K stars
Verified outcomes are shown on each skill page
12K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
FreshnessMay 27, 2026Jun 12, 2026Jun 13, 2026Jun 16, 2026
Use-case fit
Workflow fit
Platform hintsPython, MLOps, Claude CodePython, Machine Learning, Claude CodePython, MLOps, Claude CodeRust, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forBrowser automation workflows · Claude Code teams · builders willing to evaluate younger projectsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsBrowser automation workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams 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 reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add IBM/unitxt
$ npx skills add huggingface/datasets
$ npx skills add fivetran/great_expectations
$ npx skills add screenpipe/screenpipe