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.

Add more skills

Decision summary

Ml Projects is the strongest overall pick here because it has a 36/100 readiness score and fits Coding agents.

Strongest overall

Ml Projects

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

Fastest prototype

Ml Projects

Best first install candidate based on install readiness and adoption.

Freshest repo

Ml Projects

Most recent maintenance signal among this shortlist.

SignalMl Projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Quality
46/100
Needs review
Decision verdict
36/100
Needs manual review

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

Adoption296 stars
0 installs
FreshnessDec 15, 2020
Use-case fit
Workflow fit
Platform hintsMachine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding 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 30lm32/ml-projects