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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

Streamlit Condition Tree is the strongest overall pick here because it has a 36/100 readiness score and fits RAG and knowledge.

Strongest overall

Streamlit Condition Tree

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

Fastest prototype

Streamlit Condition Tree

Best first install candidate based on install readiness and adoption.

Freshest repo

Streamlit Condition Tree

Most recent maintenance signal among this shortlist.

SignalStreamlit Condition Tree

A Streamlit component to build a condition tree

Quality
46/100
Needs review
Decision verdict
36/100
Needs manual review

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

Adoption101 stars
0 installs
FreshnessOct 27, 2024
Use-case fit
RAG and knowledgeCoding agentsBrowser automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsTypeScript, SQL, 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
RAG and knowledge 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 cedricvlt/streamlit-condition-tree