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
Contextualized Topic Models is the strongest overall pick here because it has a 73/100 readiness score and fits RAG and knowledge.
Strongest overall
Contextualized Topic Models
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Contextualized Topic Models
Best first install candidate based on install readiness and adoption.
Freshest repo
Contextualized Topic Models
Most recent maintenance signal among this shortlist.
| Signal | Contextualized Topic Models A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.). |
|---|---|
| Quality | 71/100 Strong |
| Decision verdict | 73/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 1.3K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 24, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Embeddings, 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 MilaNLProc/contextualized-topic-models |