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.
Decision summary
TheoremExplainAgent is the strongest overall pick here because it has a 74/100 readiness score and fits RAG and knowledge.
Strongest overall
TheoremExplainAgent
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
TheoremExplainAgent
Best first install candidate based on install readiness and adoption.
Freshest repo
TheoremExplainAgent
Most recent maintenance signal among this shortlist.
| Signal | TheoremExplainAgent Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral] |
|---|---|
| Quality | 72/100 Strong |
| Decision verdict | 74/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 1.5K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 27, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, RAG, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add TIGER-AI-Lab/TheoremExplainAgent |