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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

Tech Interview For Developer is the strongest overall pick here because it has a 86/100 readiness score and fits GitHub automation.

Strongest overall

Tech Interview For Developer

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Tech Interview For Developer

Best first install candidate based on install readiness and adoption.

Freshest repo

Tech Interview For Developer

Most recent maintenance signal among this shortlist.

SignalTech Interview For Developer

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

Quality
84/100
Strong
Decision verdict
86/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption17K stars
0 installs
FreshnessJun 4, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsJava, SQL, Claude Code
WarningsRepository looks stale · No 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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add gyoogle/tech-interview-for-developer