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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

Unilm is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

Unilm

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

Fastest prototype

Unilm

Best first install candidate based on install readiness and adoption.

Freshest repo

Unilm

Most recent maintenance signal among this shortlist.

SignalUnilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Quality
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.

Adoption22K stars
0 installs
FreshnessJan 23, 2026
Use-case fit
Workflow automationDocument processingCoding agents
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Document AI, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signals
OpenAgentSkill

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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add microsoft/unilm