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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

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Decision summary

DataAnalysisWithPythonAndPySpark is the strongest overall pick here because it has a 35/100 readiness score and fits Coding agents.

Strongest overall

DataAnalysisWithPythonAndPySpark

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

Fastest prototype

DataAnalysisWithPythonAndPySpark

Best first install candidate based on install readiness and adoption.

Freshest repo

DataAnalysisWithPythonAndPySpark

Most recent maintenance signal among this shortlist.

SignalDataAnalysisWithPythonAndPySpark

Code repository for the "PySpark in Action" book

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

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

Adoption217 stars
0 installs
FreshnessJun 11, 2025
Use-case fit
Coding agentsGitHub automationData analysis
Workflow fit
Coding review agentContent growth agent
Platform hintsPython, Data Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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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PrivacyBuilt for agent-native discovery
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 jonesberg/DataAnalysisWithPythonAndPySpark