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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

Ipyexperiments is the strongest overall pick here because it has a 35/100 readiness score and fits Coding agents.

Strongest overall

Ipyexperiments

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

Fastest prototype

Ipyexperiments

Best first install candidate based on install readiness and adoption.

Freshest repo

Ipyexperiments

Most recent maintenance signal among this shortlist.

SignalIpyexperiments

Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers

Quality
45/100
Needs review
Decision verdict
35/100
Needs manual review

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

Adoption234 stars
0 installs
FreshnessDec 15, 2023
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Notebook, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents 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 stas00/ipyexperiments