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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

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

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Decision summary

PartIA Computing Michaelmas is the strongest overall pick here because it has a 46/100 readiness score and fits GitHub automation.

Strongest overall

PartIA Computing Michaelmas

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

Fastest prototype

PartIA Computing Michaelmas

Best first install candidate based on install readiness and adoption.

Freshest repo

PartIA Computing Michaelmas

Most recent maintenance signal among this shortlist.

SignalPartIA Computing Michaelmas

Activities and exercises for the Part IA computing course in Michaelmas Term

Quality
56/100
Promising
Decision verdict
46/100
Needs manual review

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

Adoption167 stars
0 installs
FreshnessOct 13, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Scientific Computing, Claude Code
WarningsNo OpenAgentSkill engagement data yet
OpenAgentSkill

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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add CambridgeEngineering/PartIA-Computing-Michaelmas