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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

Docker Superset is the strongest overall pick here because it has a 31/100 readiness score and fits Coding agents.

Strongest overall

Docker Superset

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

Fastest prototype

Docker Superset

Best first install candidate based on install readiness and adoption.

Freshest repo

Docker Superset

Most recent maintenance signal among this shortlist.

SignalDocker Superset

Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]

Quality
41/100
Needs review
Decision verdict
31/100
Needs manual review

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

Adoption104 stars
0 installs
FreshnessJun 14, 2021
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Workflow fit
Coding review agentContent growth agent
Platform hintsShell, SQL, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best for
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
Coding agents 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 abhioncbr/docker-superset