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

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

Strongest overall

Screenpipe

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

Fastest prototype

Screenpipe

Best first install candidate based on install readiness and adoption.

Freshest repo

Screenpipe

Most recent maintenance signal among this shortlist.

SignalLance

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Autogluon

Fast and Accurate ML in 3 Lines of Code

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
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption6.7K stars
Verified outcomes are shown on each skill page
12K stars
Verified outcomes are shown on each skill page
10K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
FreshnessJun 14, 2026Jun 15, 2026Jun 15, 2026Jun 16, 2026
Use-case fit
Workflow fit
Platform hintsRust, Machine Learning, Claude CodePython, Machine Learning, Claude CodePython, Machine Learning, Claude CodeRust, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 lance-format/lance
$ npx skills add ludwig-ai/ludwig
$ npx skills add autogluon/autogluon
$ npx skills add screenpipe/screenpipe