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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

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

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Decision summary

LiLT is the strongest overall pick here because it has a 42/100 readiness score and fits Document processing.

Strongest overall

LiLT

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

Fastest prototype

LiLT

Best first install candidate based on install readiness and adoption.

Freshest repo

LiLT

Most recent maintenance signal among this shortlist.

SignalLiLT

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

Quality
52/100
Needs review
Decision verdict
42/100
Needs manual review

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

Adoption366 stars
0 installs
FreshnessOct 31, 2022
Use-case fit
Document processingGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Document AI, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · builders willing to evaluate younger projects
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 require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add jpWang/LiLT