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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

Mprove is the strongest overall pick here because it has a 78/100 readiness score and fits RAG and knowledge.

Strongest overall

Mprove

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

Fastest prototype

Mprove

Best first install candidate based on install readiness and adoption.

Freshest repo

Mprove

Most recent maintenance signal among this shortlist.

SignalMprove

Open Source Agentic Business Intelligence with Malloy Semantic Layer :tada:

Quality
79/100
Strong
Decision verdict
78/100
Strong shortlist

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

Adoption336 stars
0 installs
FreshnessJun 15, 2026
Use-case fit
RAG and knowledgeCoding agentsResearch agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsTypeScript, BI, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forRAG and knowledge 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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Build

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 mprove-io/mprove