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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 1 skill

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Decision summary

Autoalbument is the strongest overall pick here because it has a 39/100 readiness score and fits Sports analytics.

Strongest overall

Autoalbument

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

Fastest prototype

Autoalbument

Best first install candidate based on install readiness and adoption.

Freshest repo

Autoalbument

Most recent maintenance signal among this shortlist.

SignalAutoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

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

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

Adoption205 stars
0 installs
FreshnessSep 4, 2021
Use-case fit
Sports analyticsGitHub automationCoding agents
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add albumentations-team/autoalbument