Star200+

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

Pandas is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.

Strongest overall

Pandas

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

Fastest prototype

Pandas

Best first install candidate based on install readiness and adoption.

Freshest repo

Matplotlib

Most recent maintenance signal among this shortlist.

SignalPHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

Matplotlib

matplotlib: plotting with Python

Data Science For Beginners

10 Weeks, 20 Lessons, Data Science for All!

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Quality
70/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
81/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption552 stars
Verified outcomes are shown on each skill page
23K stars
Verified outcomes are shown on each skill page
36K stars
Verified outcomes are shown on each skill page
49K stars
Verified outcomes are shown on each skill page
FreshnessMar 4, 2026Jun 16, 2026Jun 10, 2026Jun 14, 2026
Use-case fit
RAG and knowledgeCoding agentsWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Data analysisGitHub automationCoding agents
Data analysisGitHub automationCoding agents
Workflow fit
RAG knowledge baseContent growth agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsPython, Data Visualization, Claude CodePython, Data Visualization, Claude CodeJupyter Notebook, Data Analysis, Claude CodePython, Data Analysis, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis 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
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Install
$ npx skills add KrishnaswamyLab/PHATE
$ npx skills add matplotlib/matplotlib
$ npx skills add microsoft/Data-Science-For-Beginners
$ npx skills add pandas-dev/pandas