OpenAgentSkill Registry Manifest
Skill: Contextualized Topic Models
Slug: milanlproc-contextualized-topic-models
Category: rag-knowledge
Description: 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.). 

Agent fit:
- Decision: 86/100 Production-ready
- Primary fit: RAG and knowledge
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: Claude Code, CLI, Codex, Cursor, Python
- Maintenance: 11mo since push
- Risk: Safe to try

Trust:
- Trust score: 89/100 Production candidate
- Audit: 84/100 Safe to try

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: MilaNLProc
- Claim URL: https://www.openagentskill.com/skills/milanlproc-contextualized-topic-models#claim-this-skill

Install:
npx skills add MilaNLProc/contextualized-topic-models

URLs:
- Web: https://www.openagentskill.com/skills/milanlproc-contextualized-topic-models
- API: https://www.openagentskill.com/api/agent/skills/milanlproc-contextualized-topic-models
- Install API: https://www.openagentskill.com/api/skills/milanlproc-contextualized-topic-models/install
- Repository: https://github.com/MilaNLProc/contextualized-topic-models