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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

Lppls is the strongest overall pick here because it has a 80/100 readiness score and fits Coding agents.

Strongest overall

Lppls

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

Fastest prototype

Lppls

Best first install candidate based on install readiness and adoption.

Freshest repo

Lppls

Most recent maintenance signal among this shortlist.

SignalLppls

Library for fitting the LPPLS model to data.

Quality
81/100
Strong
Decision verdict
80/100
Strong shortlist

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

Adoption462 stars
0 installs
FreshnessMay 30, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yet
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
Best for
Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects
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 Boulder-Investment-Technologies/lppls