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 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Scikit Learn is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.

Strongest overall

Scikit Learn

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

Fastest prototype

Scikit Learn

Best first install candidate based on install readiness and adoption.

Freshest repo

Scikit Learn

Most recent maintenance signal among this shortlist.

SignalScikit Learn

scikit-learn: machine learning in Python

Whodb

A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface

Graphify

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

Crate

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
100/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

Adoption66K stars
0 installs
4.9K stars
0 installs
66K stars
0 installs
4.4K stars
0 installs
FreshnessJun 11, 2026Jun 12, 2026Jun 11, 2026Jun 12, 2026
Use-case fit
Stack fit
Platform hintsPython, Data Analysis, Claude CodeGo, Data Analysis, Claude CodePython, Claude Code, OpenAI Agents, CursorJava, Vector Search, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsDatabase and SQL workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add scikit-learn/scikit-learn
$ npx skills add clidey/whodb
$ npx skills add safishamsi/graphify
$ npx skills add crate/crate