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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 4 skills

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Decision summary

Next AI Draw Io is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

Next AI Draw Io

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

Fastest prototype

Next AI Draw Io

Best first install candidate based on install readiness and adoption.

Freshest repo

Next AI Draw Io

Most recent maintenance signal among this shortlist.

SignalTonav

Implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation. This is my master's thesis.

Vision

Datasets, Transforms and Models specific to Computer Vision

Next AI Draw Io

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.

Xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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

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

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.

Adoption258 stars
0 installs
18K stars
0 installs
32K stars
0 installs
28K stars
0 installs
FreshnessJun 19, 2018Jun 15, 2026Jun 16, 2026Jun 16, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Workflow automationCoding agentsRAG and knowledge
Sports analyticsCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsComputer Vision, Claude CodePython, Machine Learning, Claude CodeTypeScript, Productivity, Claude CodeC++, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository 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
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Install
$ npx skills add tomas789/tonav
$ npx skills add pytorch/vision
$ npx skills add DayuanJiang/next-ai-draw-io
$ npx skills add dmlc/xgboost