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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

Recsys Core is the strongest overall pick here because it has a 41/100 readiness score and fits Coding agents.

Strongest overall

Recsys Core

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

Fastest prototype

Recsys Core

Best first install candidate based on install readiness and adoption.

Freshest repo

Recsys Core

Most recent maintenance signal among this shortlist.

SignalRecsys Core

[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).

Quality
51/100
Needs review
Decision verdict
41/100
Needs manual review

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

Adoption297 stars
0 installs
FreshnessDec 30, 2021
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Machine Learning, 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 GavinHacker/recsys_core